WO2016128729A1 - Audio signal processing apparatus, client device, system and method - Google Patents

Audio signal processing apparatus, client device, system and method Download PDF

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Publication number
WO2016128729A1
WO2016128729A1 PCT/GB2016/050299 GB2016050299W WO2016128729A1 WO 2016128729 A1 WO2016128729 A1 WO 2016128729A1 GB 2016050299 W GB2016050299 W GB 2016050299W WO 2016128729 A1 WO2016128729 A1 WO 2016128729A1
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WIPO (PCT)
Prior art keywords
audio signal
audio
captured
predetermined
acoustic parameters
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PCT/GB2016/050299
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French (fr)
Inventor
Steve Gosling
Reuben PECKHAM
Dave COLES
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24 Acoustics Limited
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Publication of WO2016128729A1 publication Critical patent/WO2016128729A1/en

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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01HMEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H3/00Measuring characteristics of vibrations by using a detector in a fluid
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03DWIND MOTORS
    • F03D17/00Monitoring or testing of wind motors, e.g. diagnostics
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F05INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
    • F05BINDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
    • F05B2270/00Control
    • F05B2270/30Control parameters, e.g. input parameters
    • F05B2270/333Noise or sound levels

Definitions

  • the present technique relates to audio signal processing apparatus and systems for acoustic monitoring and methods of processing audio signals.
  • Embodiments of the present technique can provide an arrangement in which acoustic parameters can be accessed remotely and can be used to generate a graphical representation of monitored audio signals for remote access.
  • building work and land based oil production facilities may be located within or near residential areas and part of a condition for these activities may be that noise emissions are reduced or restricted to a limit defined by local authorities such as for example a mean average or a maximum level.
  • Another example is the deployment of wind farms comprising either a single or a plurality of wind turbines. A phenomenon known as "amplitude modulation" which results from an action of the rotor blades of the wind turbine interacting with the wind itself can produce a disturbing noise.
  • an apparatus for processing audio signals to monitor sound signals and to provide remote access to acoustic parameters generated from the monitored sound signals comprises a receiver for receiving an audio signal from a microphone representing the sound signals received by the microphone and an audio signal processor configured to process the audio signal to generate continuously captured audio files representing the audio signal by capturing a predetermined duration of the audio signal, generating a sampled digital version of the captured predetermined duration of the audio signal, and repeating the capturing the predetennined duration of the audio signal and the generating the sampled digital version of the captured predetermined duration of the audio signal with the effect that the audio signal is continuously processed by the audio signal processor to generate, for each of the predetermined durations, which are contiguous in a tune, the sampled digital versions of the audio signal.
  • the audio signal processor is configured to analyse each of the sampled digital versions of the audio signal to generate predetermined acoustic parameters for each of the predetermined durations, and to store the acoustic parameters with respect to an indication of a temporal period of the audio signal to which the acoustic parameters were generated.
  • the audio signal processing apparatus is configured to monitor continuously a noise source and generate acoustic parameters corresponding to each of a plurality of temporal periods into which the continuous sound signal is divided which can be monitored with respect to the acoustic parameters to identify whether the sound source exceeds or meets the
  • this arrangement is achieved by providing a plurality of threads for example two threads, in which one calls the other each thread being arranged to generate an uncompressed digital sample version of the audio signal which can then be processed in order to generate the acoustic parameters with respect to which the sound source is being monitored.
  • the audio signal processor is configured to generate continuously the captured audio files representing the audio signal by monitoring a file system location in the storage device, recording a continuous audio file, dividing the continuous audio file into discrete captured audio files, each audio file representing a captured predetermined duration of the audio signal stored in the monitored file system location, detecting each of the captured audio files stored at the monitored file system location using a watcher thread, and moving each of the detected captured audio files to a file storage location specified for audio processing, and identifying each of the captured audio files at the specified processing location for audio processing.
  • the audio signalling processing apparatus includes a network interface.
  • the network interface provides an arrangement in which a remote client terminal or computer can access the acoustic parameters via an internet connection for display on the computer so that the audio signal source can be monitored remotely.
  • audio files corresponding to each of the predetermined durations of the audio signal are converted into compressed files.
  • the network interface is configured to provide the compressed audio files to the computer via the internet connection so that if a sample corresponding to the predetermined duration of the acoustic signal exceeds predetermined parameters, the sound corresponding to that audio file can be accessed via the internet connection by the computer thereby determining whether the sound which caused the acoustic parameters to be exceeded was emitted by a particular sound source or by a spurious sound source.
  • the compressed audio files are generated from the audio files of the captured predetermined duration of the audio signal and provided via the network interface to the computer, and subject to predetermined conditions being satisfied the audio file of the captured predetermined duration of the audio signal is also stored for acce ss via the network interface to the computer.
  • Figure 1 is a schematic representation of a deployment of a sound monitoring apparatus on a wind farm according to the present technique
  • FIG. 2 is a schematic block diagram of audio monitoring system including an audio monitoring apparatus according to the present technique
  • Figure 3 is a part graphical, part process representation of a process performed by an audio signal processing apparatus showing in Figure 2 to form a plurality of threads for processing the audio signal;
  • Figure 4 is a schematic block diagram of processes performed by the audio signal processor according to an example embodiment of the present technique;
  • Figure 5 is a schematic block diagram of an audio pre-processing device and an audio re-sampling shown in Figure 4;
  • Figure 6 is an example flow diagram illustrating an example embodiment of the present technique
  • Figure 7 is a schematic block diagram of processes performed by the audio signal processor according to another example embodiment of the present technique
  • Figure 8 is example flow diagram illustrating another example embodiment of the present technique
  • Figures 9 is a graphical plot of an expanded 10 minute sample with each point representing a ten second average with modulation depth on a primary y-axis and modulation depth as measured in accordance with the RUK method (on band-filtered data) is shown against the secondary y-axis;
  • Figure 10 is a graphical plot often minute average sample values of pressure levels on the primary y-axis and modulation frequency on a secondary y-axis;
  • Figure 11 is a is a graphical plot of showing the audio samples presented in Figure 10, , with a specific point in time selected and the corresponding audio file served to the client;
  • Figure 12 is a is a graphical plot showing another example corresponding to the graphical plots of Figures 9, 10 and 11 in which demolition noise is measured, with audio samples provided by as one minute average values for each sampling point on one plot and one hour average values shown as bars on top of theonel minute average values.
  • Figure 13 is a graphical plot showing the results presented in Figure 12, with a specific one minute average value selected and the audio sample playing back to the client through via internet.
  • Figure 1 provides an example in which an audio signal processing apparatus according to the present technique 1 is deployed to monitor sound emissions from a wind farm comprising a plurality of wind turbines 2, which generate electricity from wind flowing past turbine blades 3.
  • a phenomenon known to those skilled in the art as "amplitude modulation”, as explained above, can be produced by the turbine blades 3 in accordance with particular conditions as a result of the action of the wind on the turbine blades 3. This amplitude modulation can be a nuisance to residents living near the wind farm.
  • the audio signal processing apparatus includes one or more microphones 4 which detect sound generated by the wind farm and converts the detected sound into audio signals which are received by the audio signal processing apparatus 1.
  • the audio signals are monitored by the audio signalling processing apparatus and from which data representing predetermined acoustic parameters corresponding to each of a plurality of predetermined durations or sections of time of the audio signal are produced which can be accessed via an internet connection, such as the world wide web, 6 by a computer 8.
  • the computer can retrieve the audio files generated by the audio signal processing apparatus and can also retrieve monitored acoustic parameters, which can be displayed in graphical form by a client terminal as for example shown in Figures 8 to 12.
  • the audio signal can be converted into a compressed file and accessed via the internet 6 by the computer 8 so that this sound can be reproduced for a user of the computer 8 remotely.
  • the compressed file can be generated for each of the
  • a client application program running on the computer 8 can access the compressed audio file corresponding to the section of time of the audio signal. In accordance with a conventional arrangement, this can be achieved, by downloading or triggering a file transfer of a copy of the audio file from the audio signal processing apparatus to the computer under the control of the client application program.
  • the captured predetermined duration of the audio signal for which the monitored acoustic parameters exceed predetennined trigger conditions can also be stored for access via the internet from a remote computer so that a highest fidelity version of the audio signal can be played back and reviewed to determine a reason for the monitored acoustic parameters to be exceeded or allow calculation of additional acoustic parameters.
  • the audio processing apparatus functions by continuously recording audio signals in predetermined durations or short segments (for example 10 seconds long) and extracting acoustic parameters by processing each audio file after capture.
  • the capture of gapless audio files, each 10 seconds in duration, is achieved, in an example embodiment of the present technique, in the following manner:
  • Thread 1 An audio capture "thread” (referred to here as Thread 1) calls another audio capture thread (here referred to as Thread 2) with a delay of precisely 10 seconds.
  • Thread 1 then retrieves precisely 10 seconds of audio.
  • Thread 1 After capturing 10 seconds of audio, Thread 1 saves the audio in an uncompressed format (currently 24-bit WAV) and passes the filename of the saved audio to a signal processing algorithm.
  • an uncompressed format currently 24-bit WAV
  • Thread 2 While Thread 1 is saving the captured audio to file and passing it to the processing algorithm, Thread 2 is started (having been called with a 10 second delay).
  • Thread 2 calls Thread 1 with a delay of precisely 10 seconds, Thread 2 captures 10 seconds of audio, Thread 2 saves the audio and sends it to the processing algorithm while Thread 1 starts again (after the 10 second delay).
  • Figure 2 discloses a more detailed representation of the audio signalling processing apparatus 1 shown in Figure 1.
  • the one or more microphones 4 feed audio signals to a pre-amplifier 10, which are then fed to an audio interface 12 under the control of a controller 14.
  • the audio interface 12 and preamplifier 10 receive and amplify respectively the audio signal which are received from the one or more microphones 4, which is then fed to a signal processor 16.
  • Also forming part of the audio signal processing apparatus shown in Figure 1 is a network interface 18 which can be accessed via an internet 26 so that a computer 8 can access information generated by the signal processor from the audio signal under the control of the controller which can then be accessed via a communications network such as the internet 6 at a remote terminal such as the computer 8, as explained above.
  • the signal processor 16 in the audio signal processing apparatus 1 is configured to monitor continuously the sound signal detected by the microphone 4 so that the audio signal is continuously monitored.
  • the signal processor 16 employs a series of "threads" which each perform a sequence of predetermined actions on the audio signal to generate uncompressed digital sample audio files. Each thread is arranged to call another thread and each of the threads therefore is arranged in sequence which is cycled tlirough in order to generate continuously uncompressed digital audio files.
  • the digital audio files representing the captured digital version of the predetermined duration of the audio signal could be for example WAV files of the sound source which can then be processed by the signal processor 16.
  • next thread in the sequence of threads is called at the end of the thread.
  • the next thread is called as a first process step of the current thread with a delay equal to exactly the predetermined recording period of the thread. This is to ensure that a next thread is called by the processor exactly when the thread is needed to provide a continuous capturing of the audio signal. Since the processor must execute other tasks during the thread there is otherwise a possibility that a variation in the processing may cause a length of time for performing the thread to vary and therefore potentially over-run a time when the next thread needs to be called in order to ensure the continuous capturing of the audio signal. Accordingly calling the next thread with a delay equal to a fixed and predetermined recording length of the thread ensures that the audio signal is continuously captured with no time drift.
  • FIG. 3a A schematic representation of the processing of the sound signal to produce the audio files according to two threads is represented in Figures 3a, 3b and 3c.
  • Figure 3a a graphical plot is shown representing amplitude with respect to time of an audio signal.
  • a first thread, THREAD 1 is shown, which captures a first predetennined period P of sampled digital audio 300.
  • the first task performed in the first thread is to call a next thread in the sequence, THREAD 2, with a predetermined delay period D, which is equal to a total allocated for recording within a thread.
  • THREAD 2 a predetermined delay period
  • the next thread is called, THREAD 2, a first process step of which is to call the next thread in the sequence, THREAD 1.
  • THREAD 2 a first process step of which is to call the next thread in the sequence, THREAD 1.
  • the next thread, THREAD1 is performed to capture the next predetennined duration of the audio 304.
  • a plurality of threads can be arranged to process continuously the audio signal generated for each of the predetennined durations P, which correspond to the predetermined durations of the captured digital audio, which has a sampling rate at this point of, for example, 48kHz.
  • the predetermined durations of the audio signal are formed into audio files, which provided a highest fidelity of the audio signal captured by the audio processing apparatus. Further detail of the operation of the signal processor 16 shown in Figure 2 if presented in Figure 4.
  • the audio signal is processed by the signal processor 16 by calling a plurality of threads 22 in sequence thereby cycling tlirough each of the plurality of threads.
  • each of the threads generates an audio file 24.
  • the audio files 24 are WAV files generated by perfonning analogue to digital conversion at a sample rate of 48 kHz.
  • the audio files in one example are WAV files, which are continuously generated.
  • the audio files are representative of digital sampled files, which are continuously processed by the audio signal processor 16.
  • the captured predetermined durations of the audio signal, which are formed into audio files are uncompressed or loss-less compressed to preserve the fidelity of the captured audio signals.
  • the audio files 24 should as far as possible provide a fidelity which can ensure that the captured audio signal can be verified in terms of its acoustic content.
  • the audio files 24 may be substantially uncompressed, so that the acoustic information is preserved to the extent that acoustic parameters can be determined correctly. Therefore the term uncompressed or substantially compressed may be interpreted to the extent that the acoustic fidelity is retained to the extent that Class 1 and Class 2 parameters can be calculated according to the annexed defined British Standard BS EN 61672-1, part 5.2.2.
  • the audio signal processor 16 comprises an audio processor unit 30 which is configured to receive the audio files 24 at an input 33.
  • the audio signal processor unit 30 feeds the audio files 24 to an audio pre-processor unit 31, which pre-processes the audio file which is then fed to a re- sample audio unit 32, which processes and re-samples the captured digital audio samples of the audio file, hi one example this is achieved by down sampling each file to generate a form, which processes the audio file in for example 100 millisecond RMS samples of the audio signal.
  • the audio file is then fed to an acoustic parameter calculator 34 which, in one example, determines acoustic parameters in accordance with a British standard BS EN 61672-1. According to this example, as will be explained in more detail below, the sampled version of the audio files 24 is used to generate acoustic statistics calculating an audio file.
  • the acoustic parameters are then passed to a data store 40 under the control of the controller 36 and stored with respect to the predetermined duration of the audio file for which the acoustic parameters were generated.
  • the acoustic parameters may be generated at any predetermined sampling rate within the predetermined generation of the audio file.
  • each of the received audio files which are substantially uncompressed digital samples for example WAV files are received by a compressed audio file generator 38, which generates a compressed version of the WAV audio file which is also stored in the data store 40.
  • the compressed audio file is always generated whereas in other examples the compressed audio file is only generated if the acoustic parameters satisfy predetermined conditions for example exceeding an average amplitude for a predetermined period.
  • the original substantially uncompressed audio files 24 are not stored in the data store 40 so that once the uncompressed audio signal files have been processed by the acoustic parameter calculator 34 the audio files are discarded. However, in one example if the acoustic parameters satisfy predetermined conditions then the uncompressed audio files 24 are also stored in the data store 40.
  • the controller 36 shown in Figure 4 is arranged to provide access via the network interface 18 to the data store 40.
  • a client operating a computer 8 may access the internet 6 via the network interface 18 and receive the acoustic parameter stored in the data store 40 and/or the compressed audio file stored in the data store 40 corresponding to the acoustic parameters.
  • the acoustic parameters may be monitored remotely and furthennore the sound corresponding to the acoustic parameters may be accessed by retrieving the compressed audio file for example an open source format such as OGG.
  • an audio processor unit 30 processes the received WAV file in accordance with a controlled arrangement which may be user selectable.
  • the audio processor unit 30 may include a series of standard filters to calculate noise parameters.
  • the audio processor 30 may include (if specified by the user): • Single octave band spectrum is calculated
  • An A-weighting filter or frequency weighting filter is applied to the audio signal
  • the re-sampling unit 32 may be used to form the discrete samples of the audio data into 100ms samples.
  • the acoustic parameter calculator 34 may calculate according to the above mentioned British standard BS EN 61672-1 Leq, Lmax, and other statistics such as peak sample value, mean duration above a predetermined threshold.
  • the audio file can be discarded or stored on the data store in either a compressed or uncompressed format. It is possible for the choice of keeping/discarding audio to be made by whether predetermined criteria have been met. If compression is used, a significant duration (e.g. several months) of audio can be stored in the data store. These audio clips can be remotely requested through the web server which allows a user to view noise levels on a graph and listen to audio by selecting a data sample of interest as will be explained shortly with reference to Figures 8 to 12.
  • One example of the audio pre-processor unit 31 shown in Figure 4 is shown in more detail in Figure 5.
  • the audio pre-processor unit 31 comprises a single octave filter 50, a third octave filter 52, an A weighting or frequency weighting filter 54, and a time-weighting filter.
  • the octave filter 50, the third octave filter 52, the frequency weighting filter 54, and the time-weighting filter serve to filter and pre-process the audio signal.
  • the parameters for each of these filters 50, 52, 54 may be selected by the controller 16 so that the audio signal may be filtered to identify a particular characteristic of noise which the audio processing apparatus is monitoring.
  • the re-sampling audio unit 32 comprises a time weighting filter 58 and a processing unit 60 which forms 100 millisecond samples from the uncompressed digital data.
  • the acoustic parameter calculator 34 then calculates predetermined acoustic parameters.
  • the table set out below provides a summary of the audio processing which is performed by the audio signal processing apparatus. For each stage, a description is given along with the format of the audio data files for each stage and the fonnat of the files outputs from that stage.
  • a A-weighting filter is Uncompressed WAV A-weighted audio file Audio pre-processor applied to the audio file file (typically 24 bit, 48 unit 31
  • A-weighted audio A-weighted audio file Frequency and time- Add relevant number file is sampled and time- weighted sampled data here
  • the audio file is re- Frequency and time- 100 ms LAeq data Audio processor 30 and sampled into 100 ms weighted 100 ms points & time-weighted re-sampling audio unit chunks samples, with amplitude 100 ms data points 58
  • the LAmax,f is A-weighted, time- LAmax,fT (where Tis Acoustic parameter calculated by taking the weighted 100 ms the time-period) calculator 34 maximum of the time- samples
  • Figure 6 presents a flow diagram summarising the operation of the audio signal processing apparatus 1 shown in Figures 1 to 5 in accordance with the present technique.
  • Figure 6 is summarised as follows:
  • S2 Receive an audio signal from a microphone representing sound signals received by the microphone.
  • Each audio file is processed by an audio signal processor to fdter and to shape the received audio signal file.
  • S 10 The uncompressed 100ms samples are then used to generate one or more predetermined acoustic parameters according to defined statistics.
  • S12 A compressed version of each of the uncompressed audio files is then generated.
  • step S 14 At decision point S14 it is determined whether the predetermined acoustic parameters calculated in step S10 exceed one or more predetermined thresholds depending on the number of acoustic parameters being monitored. If one or more of the parameters do exceed the predetennined tlireshold then processing proceeds to step SI 6. Otherwise in step SI 8, the acoustic parameters are stored in a data store, with the compressed audio file to make the compressed audio file and the acoustic parameters available to be published to one or more client terminals via a network interface.
  • step S16 If the monitored acoustic parameters exceed a predetermined threshold then processing proceeds to step S16 and the audio processing apparatus is arranged to store the uncompressed audio file along with the acoustic parameters for the predetermined period of the captured audio.
  • the audio file is therefore stored with the acoustic parameters in a data store identifying the duration or period with respect to which the audio file was generated.
  • S20 The content of the data store comprising the determined acoustic parameters and audio files for each of the predetermined durations are then made available via a network interface to a client terminal.
  • the audio signal processing apparatus may be operatively coupled via the network interface to a server, which may provide a cloud storage facility.
  • a server which may provide a cloud storage facility.
  • predetermined duration of the captured audio signal in substantially uncompressed form may be stored on the server in accordance with a cloud storage arrangement.
  • monitored acoustic parameters may cause a trigger event to occur when the parameters exceed one or more predetennined thresholds. This trigger event may be detected by the server as part of the cloud processing and an alarm signal sent to one or more client devices.
  • the audio signal processor 16 generates continuously the audio files representing the audio signal. This is done by monitoring a file system location in the storage device using a watcher thread, recording a continuous audio file, dividing the continuous audio file into discrete captured audio files, each audio file representing a captured predetermined duration of the audio signal stored in the monitored file system location. The watcher thread then,detects each of the captured audio files stored at the monitored file system location and, moves each of the detected captured audio files to a file storage location specified for audio processing, and identifies each of the captured audio files at the specified processing location for audio processing.
  • the audio signal processor 16 also includes a data store 80, an audio recorder 82 and a watcher thread 84.
  • the audio recorder 82 controls the recording of the audio signal as a continuous recording which may be for example within a section of the data store 80.
  • the audio recorder 82 then divides the continuous audio recording into a plurality of captured predetermined durations of the audio signal 86, 88, 90, 92.
  • the audio recorder 82 then moves the divided audio recordings into a file system location represented by a box 100.
  • the audio recorder 82 then moves each of the audio recordings of the predetermined duration P and stores them into the file system location as audio files 102, 104, 106, 108.
  • the storing of the audio files in the file system location 100 is a continuous process so that other audio files are continuously produced as shown by a dotted outline of an audio file.
  • the watcher thread 84 is arranged to monitor the file system location and detect each of the audio files and gives them a file name.
  • Each of these audio files is then passed to the audio pre-processor 30 forming part of the audio signalling processor unit 30. Thereafter the audio signal processor unit 30 processes the audio files 102, 104, 106, 108 in accordance with the processes and operations already explained with reference to Figure 4.
  • step S4 is shown to be step S40 in which the audio files which represent a sampled version of the audio signal of a predetermined duration are generated by the audio recorder in combination with the watcher thread 84.
  • the watcher thread is started which monitors the mounted file system location of the data store.
  • the command line audio recorder 82 is started to record a continuous audio file of infinite length.
  • the audio recorder receives an audio file duration for example the predetermined duration is 10 seconds.
  • the audio recorder 82 splits a continuous audio file into the desired file durations on the audio signal, creating an infinite stream of precisely 10 second duration of audio files saved in an uncompressed format such as for example 24 bit WAV.
  • Each audio file is automatically detected by the watcher thread 84.
  • the watcher thread moves the file to the file storage location specified in the configuration file, adds the file name to a FIFO queue and passes the file name to the audio processor for processing as explained with reference to Figures 4 and 6.
  • step 40 comprises generating discrete audio files at the file system location with file names representing a captured predetermined duration of the audio signal.
  • Figures 9 to 13 provides a graphical representation of an example of a graphical output presented on a computer 8 by a client accessing the data from the audio signal processing apparatus 1 via the internet.
  • Figures 9 to 13 provide a graphical representation of an example of a graphical output presented on a computer 8 by a client accessing the data from the audio signal processing apparatus 1 via the internet.
  • Figure 9 shows one example where noise from a wind turbine site is measured. Each sample represents a 10 minute average in time.
  • Overall sound pressure level is represented by the L A 9o acoustic parameter and is shown on the primary y-axis. Modulation depth as measured in accordance with the RUK method (on band-filtered data) is shown on the secondary y-axis.
  • Each 10 minute sample in Figure 8 can be selected individually and expanded to show sixty 10-second averages within the 10 minute period.
  • Figure 10 shows an expanded 10 minute sample with each point representing a 10 second average. Modulation depth is shown on the primary y-axis and the modulation frequency is shown against the secondary y-axis. Should the user wish to listen to the audio corresponding to a specific time, the point on the chart can be selected and audio requested using the "Download Selected Audio" button.
  • Figure 1 1 is a graphical plot of showing the audio samples presented in Figure 10, , with a specific point in time selected and the corresponding audio file served to the client.
  • Figure 12 shows another example, where demolition noise is measured.
  • 1 minute average values are shown as individual points on a line and 1 hour average values are shown as coloured bars on top of the 1 minute average values.
  • Each point on the chart corresponding to a 1 minute average can be selected in order to request the corresponding audio recording.
  • Figure 13 shows the chart as described in Figure 10, with a specific 1 minute average value selected and the audio sample playing back to the client through the internet.
  • is a dummy variable of time integration over the averegiftg time inte val ending ai the !ime of observation 7 is. the averaging time interval;
  • P&1 ⁇ 4 is the A-weightod snstenisneous sound pressure
  • p D is the reference sound pressure
  • the nuriieralor of t e argument of the logarithm is the foot-me3 ⁇ 4n-squ re, frequency-weighted sound pressure over averaging iirrie interval T,
  • r is the ' exponenrtfal time cssistant m seconds tor time weighting F or S;
  • £ is a du my variable oi sime integration from some time i « -the past, as invested t»y for ttte lower limit of the integral, to She lime of observation /.:
  • p 0 is ihe raferertce Bound pressure.

Abstract

An apparatus for processing audio signals is provided to monitor sound signals and to provide remote access to acoustic parameters generated from the monitored sound signals for graphical display. The apparatus for processing the audio signals comprises a receiver for receiving an audio signal from a microphone representing the sound signals received by the microphone and an audio signal processor configured to process the audio signal to generate continuously captured audio files representing the audio signal by capturing a predetermined duration of the audio signal, generating a sampled digital version of the captured predetermined duration of the audio signal, and repeating the capturing the predetermined duration of the audio signal and the generating the sampled digital version of the captured predetermined duration of the audio signal with the effect that the audio signal is continuously processed by the audio signal processor to generate, for each of the predetermined durations, which are contiguous in a time, the sampled digital version of the audio signal. The audio signal processor is configured to analyse each of the sampled digital versions of the audio signal to generate predetermined acoustic parameters for each of the predetermined durations, and to store the acoustic parameters with respect to an indication of a temporal period of the audio signal to which the acoustic parameters were generated.

Description

AUDIO SIGNAL PROCESSING APPARATUS, CLIENT DEVICE. SYSTEM AND METHOD
BACKGROUND
Field of Disclosure
The present technique relates to audio signal processing apparatus and systems for acoustic monitoring and methods of processing audio signals. Embodiments of the present technique can provide an arrangement in which acoustic parameters can be accessed remotely and can be used to generate a graphical representation of monitored audio signals for remote access.
Description of Related Art
The "background" description provided herein is for the purpose of generally presenting the context of the disclosure. Work of the presently named inventors, to the extent it is described in this background section, as well as aspects of the description which may not otherwise qualify as prior art at the time of filing, are neither expressly or impliedly admitted as prior art against the present disclosure.
There are various scenarios and applications in which it is necessary to provide some monitoring of noise levels produced for various sources. For example, building work and land based oil production facilities may be located within or near residential areas and part of a condition for these activities may be that noise emissions are reduced or restricted to a limit defined by local authorities such as for example a mean average or a maximum level. Another example is the deployment of wind farms comprising either a single or a plurality of wind turbines. A phenomenon known as "amplitude modulation" which results from an action of the rotor blades of the wind turbine interacting with the wind itself can produce a disturbing noise.
It is known to provide in situ noise monitoring of noise sources in order to detennine that the noise levels are complying with a predetermined requirements. However known techniques require the disposal of a noise monitoring apparatus at a site and typically the noise monitoring apparatus is manually operated or automated in a basic manner in order to confirm that the noise levels comply with predetennined requirements. As will be appreciated there is a desire to provide improvements for such arrangements.
SUMMARY OF THE DISCLOSURE
According to the present technique there is provided an apparatus for processing audio signals to monitor sound signals and to provide remote access to acoustic parameters generated from the monitored sound signals. The apparatus for processing the audio signals comprises a receiver for receiving an audio signal from a microphone representing the sound signals received by the microphone and an audio signal processor configured to process the audio signal to generate continuously captured audio files representing the audio signal by capturing a predetermined duration of the audio signal, generating a sampled digital version of the captured predetermined duration of the audio signal, and repeating the capturing the predetennined duration of the audio signal and the generating the sampled digital version of the captured predetermined duration of the audio signal with the effect that the audio signal is continuously processed by the audio signal processor to generate, for each of the predetermined durations, which are contiguous in a tune, the sampled digital versions of the audio signal. The audio signal processor is configured to analyse each of the sampled digital versions of the audio signal to generate predetermined acoustic parameters for each of the predetermined durations, and to store the acoustic parameters with respect to an indication of a temporal period of the audio signal to which the acoustic parameters were generated. According to embodiments of the present technique the audio signal processing apparatus is configured to monitor continuously a noise source and generate acoustic parameters corresponding to each of a plurality of temporal periods into which the continuous sound signal is divided which can be monitored with respect to the acoustic parameters to identify whether the sound source exceeds or meets the
predetermined parameters. In one example this arrangement is achieved by providing a plurality of threads for example two threads, in which one calls the other each thread being arranged to generate an uncompressed digital sample version of the audio signal which can then be processed in order to generate the acoustic parameters with respect to which the sound source is being monitored.
In another example, the audio signal processor is configured to generate continuously the captured audio files representing the audio signal by monitoring a file system location in the storage device, recording a continuous audio file, dividing the continuous audio file into discrete captured audio files, each audio file representing a captured predetermined duration of the audio signal stored in the monitored file system location, detecting each of the captured audio files stored at the monitored file system location using a watcher thread, and moving each of the detected captured audio files to a file storage location specified for audio processing, and identifying each of the captured audio files at the specified processing location for audio processing.
According to one example embodiment the audio signalling processing apparatus includes a network interface. The network interface provides an arrangement in which a remote client terminal or computer can access the acoustic parameters via an internet connection for display on the computer so that the audio signal source can be monitored remotely.
According to another example, audio files corresponding to each of the predetermined durations of the audio signal are converted into compressed files. The network interface is configured to provide the compressed audio files to the computer via the internet connection so that if a sample corresponding to the predetermined duration of the acoustic signal exceeds predetermined parameters, the sound corresponding to that audio file can be accessed via the internet connection by the computer thereby determining whether the sound which caused the acoustic parameters to be exceeded was emitted by a particular sound source or by a spurious sound source. In one example the compressed audio files are generated from the audio files of the captured predetermined duration of the audio signal and provided via the network interface to the computer, and subject to predetermined conditions being satisfied the audio file of the captured predetermined duration of the audio signal is also stored for acce ss via the network interface to the computer.
Further aspects and features of the present technique will be defined in the appended claims.
The foregoing paragraphs have been provided by way of general introduction, and are not intended to limit the scope of the following claims. The described embodiments, together with further advantages, will be best understood by reference to the following detailed description taken in conjunction with the accompanying drawings.
BRIEF DESCRIPTIO OF THE DRAWINGS
A more complete appreciation of the disclosure and many of the attendant advantages thereof will be readily obtained as the same becomes better understood by reference to the following detailed description when considered in connection with the accompanying drawings wherein like reference numerals designate identical or corresponding parts throughout the several views, and wherein: Figure 1 is a schematic representation of a deployment of a sound monitoring apparatus on a wind farm according to the present technique;
Figure 2 is a schematic block diagram of audio monitoring system including an audio monitoring apparatus according to the present technique;
Figure 3 is a part graphical, part process representation of a process performed by an audio signal processing apparatus showing in Figure 2 to form a plurality of threads for processing the audio signal; Figure 4 is a schematic block diagram of processes performed by the audio signal processor according to an example embodiment of the present technique;
Figure 5 is a schematic block diagram of an audio pre-processing device and an audio re-sampling shown in Figure 4;
Figure 6 is an example flow diagram illustrating an example embodiment of the present technique; Figure 7 is a schematic block diagram of processes performed by the audio signal processor according to another example embodiment of the present technique;
Figure 8 is example flow diagram illustrating another example embodiment of the present technique; Figures 9 is a graphical plot of an expanded 10 minute sample with each point representing a ten second average with modulation depth on a primary y-axis and modulation depth as measured in accordance with the RUK method (on band-filtered data) is shown against the secondary y-axis;
Figure 10 is a graphical plot often minute average sample values of pressure levels on the primary y-axis and modulation frequency on a secondary y-axis;
Figure 11 is a is a graphical plot of showing the audio samples presented in Figure 10, , with a specific point in time selected and the corresponding audio file served to the client;
Figure 12 is a is a graphical plot showing another example corresponding to the graphical plots of Figures 9, 10 and 11 in which demolition noise is measured, with audio samples provided by as one minute average values for each sampling point on one plot and one hour average values shown as bars on top of theonel minute average values.
Figure 13 is a graphical plot showing the results presented in Figure 12, with a specific one minute average value selected and the audio sample playing back to the client through via internet.
DETAILED DESCRIPTION OF THE EMBODIMENTS
An example embodiment of the present technique is illustrated by a diagram shown in Figure 1. Figure 1 provides an example in which an audio signal processing apparatus according to the present technique 1 is deployed to monitor sound emissions from a wind farm comprising a plurality of wind turbines 2, which generate electricity from wind flowing past turbine blades 3. A phenomenon known to those skilled in the art as "amplitude modulation", as explained above, can be produced by the turbine blades 3 in accordance with particular conditions as a result of the action of the wind on the turbine blades 3. This amplitude modulation can be a nuisance to residents living near the wind farm. Accordingly it may be desirable to monitor the sound produced by the wind farm in order to determine whether or not any nuisance noise has been produced by the wind farm as a result for example of amplitude modulation or whether this is in fact as a result of some other spurious noise source such as an aeroplane passing overhead.
As shown in Figure 1, the audio signal processing apparatus includes one or more microphones 4 which detect sound generated by the wind farm and converts the detected sound into audio signals which are received by the audio signal processing apparatus 1. As will be explained in the following paragraphs, the audio signals are monitored by the audio signalling processing apparatus and from which data representing predetermined acoustic parameters corresponding to each of a plurality of predetermined durations or sections of time of the audio signal are produced which can be accessed via an internet connection, such as the world wide web, 6 by a computer 8. The computer can retrieve the audio files generated by the audio signal processing apparatus and can also retrieve monitored acoustic parameters, which can be displayed in graphical form by a client terminal as for example shown in Figures 8 to 12. Furthermore, according to the present technique, the audio signal can be converted into a compressed file and accessed via the internet 6 by the computer 8 so that this sound can be reproduced for a user of the computer 8 remotely. In one example, the compressed file can be generated for each of the
predetermined durations or sections of time of the audio signal, or the compressed file can be generated under the condition that a sample of the section of time of the audio signal causes the predetermined acoustic parameters to exceed predetermined conditions. Then, to confirm whether or not sound which caused the acoustic parameters to be exceeded was produced by the wind farm or was in fact produced by spurious noise source, a client application program running on the computer 8 can access the compressed audio file corresponding to the section of time of the audio signal. In accordance with a conventional arrangement, this can be achieved, by downloading or triggering a file transfer of a copy of the audio file from the audio signal processing apparatus to the computer under the control of the client application program. Furthermore the captured predetermined duration of the audio signal for which the monitored acoustic parameters exceed predetennined trigger conditions can also be stored for access via the internet from a remote computer so that a highest fidelity version of the audio signal can be played back and reviewed to determine a reason for the monitored acoustic parameters to be exceeded or allow calculation of additional acoustic parameters.
According to the present technique the audio processing apparatus functions by continuously recording audio signals in predetermined durations or short segments (for example 10 seconds long) and extracting acoustic parameters by processing each audio file after capture. The capture of gapless audio files, each 10 seconds in duration, is achieved, in an example embodiment of the present technique, in the following manner:
• A single, continuous audio stream from the audio interface is opened.
• An audio capture "thread" (referred to here as Thread 1) calls another audio capture thread (here referred to as Thread 2) with a delay of precisely 10 seconds.
• Thread 1 then retrieves precisely 10 seconds of audio.
· After capturing 10 seconds of audio, Thread 1 saves the audio in an uncompressed format (currently 24-bit WAV) and passes the filename of the saved audio to a signal processing algorithm.
• While Thread 1 is saving the captured audio to file and passing it to the processing algorithm, Thread 2 is started (having been called with a 10 second delay).
• The process is then repeated from Thread 2 to Thread 1, i.e. Thread 2 calls Thread 1 with a delay of precisely 10 seconds, Thread 2 captures 10 seconds of audio, Thread 2 saves the audio and sends it to the processing algorithm while Thread 1 starts again (after the 10 second delay).
Figure 2 discloses a more detailed representation of the audio signalling processing apparatus 1 shown in Figure 1. In Figure 2 the one or more microphones 4 feed audio signals to a pre-amplifier 10, which are then fed to an audio interface 12 under the control of a controller 14. The audio interface 12 and preamplifier 10 receive and amplify respectively the audio signal which are received from the one or more microphones 4, which is then fed to a signal processor 16. Also forming part of the audio signal processing apparatus shown in Figure 1 is a network interface 18 which can be accessed via an internet 26 so that a computer 8 can access information generated by the signal processor from the audio signal under the control of the controller which can then be accessed via a communications network such as the internet 6 at a remote terminal such as the computer 8, as explained above. According to the present technique the signal processor 16 in the audio signal processing apparatus 1 is configured to monitor continuously the sound signal detected by the microphone 4 so that the audio signal is continuously monitored. To this end, in one example, the signal processor 16 employs a series of "threads" which each perform a sequence of predetermined actions on the audio signal to generate uncompressed digital sample audio files. Each thread is arranged to call another thread and each of the threads therefore is arranged in sequence which is cycled tlirough in order to generate continuously uncompressed digital audio files. In one example, the digital audio files representing the captured digital version of the predetermined duration of the audio signal could be for example WAV files of the sound source which can then be processed by the signal processor 16.
In one example the next thread in the sequence of threads is called at the end of the thread. However advantageously, the next thread is called as a first process step of the current thread with a delay equal to exactly the predetermined recording period of the thread. This is to ensure that a next thread is called by the processor exactly when the thread is needed to provide a continuous capturing of the audio signal. Since the processor must execute other tasks during the thread there is otherwise a possibility that a variation in the processing may cause a length of time for performing the thread to vary and therefore potentially over-run a time when the next thread needs to be called in order to ensure the continuous capturing of the audio signal. Accordingly calling the next thread with a delay equal to a fixed and predetermined recording length of the thread ensures that the audio signal is continuously captured with no time drift.
A schematic representation of the processing of the sound signal to produce the audio files according to two threads is represented in Figures 3a, 3b and 3c. In Figure 3a a graphical plot is shown representing amplitude with respect to time of an audio signal. As shown in Figure 3b a first thread, THREAD 1, is shown, which captures a first predetennined period P of sampled digital audio 300. The first task performed in the first thread is to call a next thread in the sequence, THREAD 2, with a predetermined delay period D, which is equal to a total allocated for recording within a thread. As mentioned above, this is so that any processes performed by the processor during the thread do not prevent it from calling the next thread on time so that a continuous process of capturing the audio signal is not interrupted. As shown in Figure 3c, after the delay period D = tj+1 - 1;, the next thread is called, THREAD 2, a first process step of which is to call the next thread in the sequence, THREAD 1. After capturing the next predetermined duration of the audio signal 302, and following a delay D, the next thread, THREAD1, is performed to capture the next predetennined duration of the audio 304. In this way a plurality of threads can be arranged to process continuously the audio signal generated for each of the predetennined durations P, which correspond to the predetermined durations of the captured digital audio, which has a sampling rate at this point of, for example, 48kHz. In one example the predetermined durations of the audio signal are formed into audio files, which provided a highest fidelity of the audio signal captured by the audio processing apparatus. Further detail of the operation of the signal processor 16 shown in Figure 2 if presented in Figure 4.
As shown in Figure 4, the audio signal is processed by the signal processor 16 by calling a plurality of threads 22 in sequence thereby cycling tlirough each of the plurality of threads. As explained above with reference to Figure 3, each of the threads generates an audio file 24. As shown in Figure 4, five audio files are produced but this is just an illustration of audio files which would be continuously produced. In one example, the audio files 24 are WAV files generated by perfonning analogue to digital conversion at a sample rate of 48 kHz. The audio files in one example are WAV files, which are continuously generated. However the audio files are representative of digital sampled files, which are continuously processed by the audio signal processor 16. In one example the captured predetermined durations of the audio signal, which are formed into audio files are uncompressed or loss-less compressed to preserve the fidelity of the captured audio signals. As will be appreciated however some compression may be applied to the audio files, although as will be explained in the following paragraphs, the audio files 24, should as far as possible provide a fidelity which can ensure that the captured audio signal can be verified in terms of its acoustic content. For example the audio files 24 may be substantially uncompressed, so that the acoustic information is preserved to the extent that acoustic parameters can be determined correctly. Therefore the term uncompressed or substantially compressed may be interpreted to the extent that the acoustic fidelity is retained to the extent that Class 1 and Class 2 parameters can be calculated according to the annexed defined British Standard BS EN 61672-1, part 5.2.2.
As shown in Figure 4, the audio signal processor 16 comprises an audio processor unit 30 which is configured to receive the audio files 24 at an input 33. The audio signal processor unit 30 feeds the audio files 24 to an audio pre-processor unit 31, which pre-processes the audio file which is then fed to a re- sample audio unit 32, which processes and re-samples the captured digital audio samples of the audio file, hi one example this is achieved by down sampling each file to generate a form, which processes the audio file in for example 100 millisecond RMS samples of the audio signal. The audio file is then fed to an acoustic parameter calculator 34 which, in one example, determines acoustic parameters in accordance with a British standard BS EN 61672-1. According to this example, as will be explained in more detail below, the sampled version of the audio files 24 is used to generate acoustic statistics calculating an
LAeq and Lmax values or other predetermined measurement parameters for the audio signal in each of the predetermined durations. The acoustic parameters are then passed to a data store 40 under the control of the controller 36 and stored with respect to the predetermined duration of the audio file for which the acoustic parameters were generated. The acoustic parameters may be generated at any predetermined sampling rate within the predetermined generation of the audio file.
In accordance with one example embodiment of the present technique, each of the received audio files which are substantially uncompressed digital samples for example WAV files are received by a compressed audio file generator 38, which generates a compressed version of the WAV audio file which is also stored in the data store 40. In one example, the compressed audio file is always generated whereas in other examples the compressed audio file is only generated if the acoustic parameters satisfy predetermined conditions for example exceeding an average amplitude for a predetermined period.
Generally, the original substantially uncompressed audio files 24 are not stored in the data store 40 so that once the uncompressed audio signal files have been processed by the acoustic parameter calculator 34 the audio files are discarded. However, in one example if the acoustic parameters satisfy predetermined conditions then the uncompressed audio files 24 are also stored in the data store 40.
In accordance with the present technique and as explained above, the controller 36 shown in Figure 4 is arranged to provide access via the network interface 18 to the data store 40. According to the present technique, a client operating a computer 8 may access the internet 6 via the network interface 18 and receive the acoustic parameter stored in the data store 40 and/or the compressed audio file stored in the data store 40 corresponding to the acoustic parameters. Accordingly, the acoustic parameters may be monitored remotely and furthennore the sound corresponding to the acoustic parameters may be accessed by retrieving the compressed audio file for example an open source format such as OGG.
As shown in Figure 4 an audio processor unit 30 processes the received WAV file in accordance with a controlled arrangement which may be user selectable. The audio processor unit 30 may include a series of standard filters to calculate noise parameters. The audio processor 30 may include (if specified by the user): • Single octave band spectrum is calculated
• Third octave band spectrum is calculated
« An A-weighting filter or frequency weighting filter, is applied to the audio signal
• A time-weighting filter is applied to the audio signal
The re-sampling unit 32, may be used to form the discrete samples of the audio data into 100ms samples. The acoustic parameter calculator 34 may calculate according to the above mentioned British standard BS EN 61672-1 Leq, Lmax, and other statistics such as peak sample value, mean duration above a predetermined threshold.
Once relevant parameters have been calculated, the audio file can be discarded or stored on the data store in either a compressed or uncompressed format. It is possible for the choice of keeping/discarding audio to be made by whether predetermined criteria have been met. If compression is used, a significant duration (e.g. several months) of audio can be stored in the data store. These audio clips can be remotely requested through the web server which allows a user to view noise levels on a graph and listen to audio by selecting a data sample of interest as will be explained shortly with reference to Figures 8 to 12. One example of the audio pre-processor unit 31 shown in Figure 4 is shown in more detail in Figure 5. As shown in Figure 5 the audio pre-processor unit 31 comprises a single octave filter 50, a third octave filter 52, an A weighting or frequency weighting filter 54, and a time-weighting filter. The octave filter 50, the third octave filter 52, the frequency weighting filter 54, and the time-weighting filter serve to filter and pre-process the audio signal. In accordance with the present technique, the parameters for each of these filters 50, 52, 54 may be selected by the controller 16 so that the audio signal may be filtered to identify a particular characteristic of noise which the audio processing apparatus is monitoring.
The re-sampling audio unit 32 comprises a time weighting filter 58 and a processing unit 60 which forms 100 millisecond samples from the uncompressed digital data. As explained above, the acoustic parameter calculator 34 then calculates predetermined acoustic parameters.
The table set out below provides a summary of the audio processing which is performed by the audio signal processing apparatus. For each stage, a description is given along with the format of the audio data files for each stage and the fonnat of the files outputs from that stage.
Description of Process Audio Data format Outputs Processed by Example
Element
Octave and third octave Uncompressed WAV Octave and third octave Audio pre-processor band levels are file (typically 24 bit, 48 band levels unit 31
calculated from the raw kHz)
audio waveform using
an FFT based
calculation (akin to that
utilised by real-time
signal analysers)
A A-weighting filter is Uncompressed WAV A-weighted audio file Audio pre-processor applied to the audio file file (typically 24 bit, 48 unit 31
in the time-domain kHz), A-weighted The A-weighted audio A-weighted audio file Frequency and time- Add relevant number file is sampled and time- weighted sampled data here
weighting filters are
applied
The audio file is re- Frequency and time- 100 ms LAeq data Audio processor 30 and sampled into 100 ms weighted 100 ms points & time-weighted re-sampling audio unit chunks samples, with amplitude 100 ms data points 58
in calibrated dB
The average LAeq over A-weighted 100 ms LAeq,T (where T is the Acoustic parameter the sampling period (for samples time-period) calculator 34 example 1 minute) is
calculated by taking the
logarithmic average of
all 100 ms LAeq values
The LAmax,f is A-weighted, time- LAmax,fT (where Tis Acoustic parameter calculated by taking the weighted 100 ms the time-period) calculator 34 maximum of the time- samples
weighted 100 ms within
the period T
Statistical values (such A-weighted, time- Statistical parameters, Acoustic parameter as L! O, L50 and L90) weighted 100 ms e.g. LA90,10min (where calculator 34 are calculated from the samples T is the time-period)
time-weighted 100 ms
data. These are
calculated by taking the
relevant percentile from
all the time-weighted
100 ms samples within
time period T
Further parameters as specified by user Acoustic parameter calculator 34
Figure 6 presents a flow diagram summarising the operation of the audio signal processing apparatus 1 shown in Figures 1 to 5 in accordance with the present technique. Figure 6 is summarised as follows:
S2: Receive an audio signal from a microphone representing sound signals received by the microphone.
S4: Process the audio signal in accordance with a plurality of threads, each thread comprising
• calling a next of the plurality of threads to capture a subsequent predetermined duration of the audio signal to start with a predetermined delay,
• capturing a predetermined duration of the audio signal, and
• generating a sampled digital version of the captured predetermined duration of the audio signal. Each of the threads are called in turn, one after the other in a cycle from a first to a last, which then repeats with the effect that the audio signal is continuously processed by the audio signal processor to generate, for each of the predetermined durations which are contiguous in a time.
S6: Each audio file is processed by an audio signal processor to fdter and to shape the received audio signal file.
S8: The uncompressed digital audio signal is then processed and formed into 100ms audio samples which is a lossless process and is therefore uncompressed.
S 10: The uncompressed 100ms samples are then used to generate one or more predetermined acoustic parameters according to defined statistics. S12: A compressed version of each of the uncompressed audio files is then generated.
S 14: At decision point S14 it is determined whether the predetermined acoustic parameters calculated in step S10 exceed one or more predetermined thresholds depending on the number of acoustic parameters being monitored. If one or more of the parameters do exceed the predetennined tlireshold then processing proceeds to step SI 6. Otherwise in step SI 8, the acoustic parameters are stored in a data store, with the compressed audio file to make the compressed audio file and the acoustic parameters available to be published to one or more client terminals via a network interface.
SI 8: If the monitored acoustic parameters exceed a predetermined threshold then processing proceeds to step S16 and the audio processing apparatus is arranged to store the uncompressed audio file along with the acoustic parameters for the predetermined period of the captured audio. The audio file is therefore stored with the acoustic parameters in a data store identifying the duration or period with respect to which the audio file was generated.
S20: The content of the data store comprising the determined acoustic parameters and audio files for each of the predetermined durations are then made available via a network interface to a client terminal.
In one embodiment the audio signal processing apparatus may be operatively coupled via the network interface to a server, which may provide a cloud storage facility. The acoustic parameters, the compressed audio file and in accordance with a trigger event the audio files representing the
predetermined duration of the captured audio signal in substantially uncompressed form may be stored on the server in accordance with a cloud storage arrangement. According to one example monitored acoustic parameters may cause a trigger event to occur when the parameters exceed one or more predetennined thresholds. This trigger event may be detected by the server as part of the cloud processing and an alarm signal sent to one or more client devices.
An alternative arrangement is generating the audio files for analysis by the audio signal processor 16 is shown in Figure 7, which corresponds substantially to the audio signal processor shown in Figure 4, and so only the differences will be explained. According to this example embodiment the audio signal processor generates continuously the audio files representing the audio signal. This is done by monitoring a file system location in the storage device using a watcher thread, recording a continuous audio file, dividing the continuous audio file into discrete captured audio files, each audio file representing a captured predetermined duration of the audio signal stored in the monitored file system location. The watcher thread then,detects each of the captured audio files stored at the monitored file system location and, moves each of the detected captured audio files to a file storage location specified for audio processing, and identifies each of the captured audio files at the specified processing location for audio processing.
As shown in Figure 7 the audio signal processor 16 also includes a data store 80, an audio recorder 82 and a watcher thread 84. The audio recorder 82 controls the recording of the audio signal as a continuous recording which may be for example within a section of the data store 80. The audio recorder 82 then divides the continuous audio recording into a plurality of captured predetermined durations of the audio signal 86, 88, 90, 92. The audio recorder 82 then moves the divided audio recordings into a file system location represented by a box 100. The audio recorder 82 then moves each of the audio recordings of the predetermined duration P and stores them into the file system location as audio files 102, 104, 106, 108. The storing of the audio files in the file system location 100 is a continuous process so that other audio files are continuously produced as shown by a dotted outline of an audio file. The watcher thread 84 is arranged to monitor the file system location and detect each of the audio files and gives them a file name. Each of these audio files is then passed to the audio pre-processor 30 forming part of the audio signalling processor unit 30. Thereafter the audio signal processor unit 30 processes the audio files 102, 104, 106, 108 in accordance with the processes and operations already explained with reference to Figure 4.
As will be appreciated from this explanation, the operation of the audio processor corresponds substantially to that shown in Figure 4. Figure 8 provides a representation of a flow diagram
corresponding to that shown in Figure 6 but adapted in that step S4 is shown to be step S40 in which the audio files which represent a sampled version of the audio signal of a predetermined duration are generated by the audio recorder in combination with the watcher thread 84. Thus is step 40 the watcher thread is started which monitors the mounted file system location of the data store. Simultaneously the command line audio recorder 82 is started to record a continuous audio file of infinite length. In addition to parameterised bit rate, number of channels and file name the audio recorder receives an audio file duration for example the predetermined duration is 10 seconds. The audio recorder 82 splits a continuous audio file into the desired file durations on the audio signal, creating an infinite stream of precisely 10 second duration of audio files saved in an uncompressed format such as for example 24 bit WAV. Each audio file is automatically detected by the watcher thread 84. The watcher thread moves the file to the file storage location specified in the configuration file, adds the file name to a FIFO queue and passes the file name to the audio processor for processing as explained with reference to Figures 4 and 6.
Therefore step 40 comprises generating discrete audio files at the file system location with file names representing a captured predetermined duration of the audio signal. Figures 9 to 13 provides a graphical representation of an example of a graphical output presented on a computer 8 by a client accessing the data from the audio signal processing apparatus 1 via the internet. Figures 9 to 13 provide a graphical representation of an example of a graphical output presented on a computer 8 by a client accessing the data from the audio signal processing apparatus 1 via the internet. Figure 9 shows one example where noise from a wind turbine site is measured. Each sample represents a 10 minute average in time. Overall sound pressure level is represented by the LA9o acoustic parameter and is shown on the primary y-axis. Modulation depth as measured in accordance with the RUK method (on band-filtered data) is shown on the secondary y-axis.
Each 10 minute sample in Figure 8 can be selected individually and expanded to show sixty 10-second averages within the 10 minute period.
Figure 10 shows an expanded 10 minute sample with each point representing a 10 second average. Modulation depth is shown on the primary y-axis and the modulation frequency is shown against the secondary y-axis. Should the user wish to listen to the audio corresponding to a specific time, the point on the chart can be selected and audio requested using the "Download Selected Audio" button.
Figure 1 1 is a graphical plot of showing the audio samples presented in Figure 10, , with a specific point in time selected and the corresponding audio file served to the client.
Figure 12 shows another example, where demolition noise is measured. 1 minute average values are shown as individual points on a line and 1 hour average values are shown as coloured bars on top of the 1 minute average values. Each point on the chart corresponding to a 1 minute average can be selected in order to request the corresponding audio recording.
Figure 13 shows the chart as described in Figure 10, with a specific 1 minute average value selected and the audio sample playing back to the client through the internet.
Annex 1 :
BS EN 61672-1 2003 has a definition for LAeq:
3.9
tim©»average sound lewel
equivalent continuous sound level
twenty times the logarithm to the base ten. of the ratio of a root-rneao-square sound pressure during a slated time interval to the reference sound pressure, sound pressure being obtained with a standard frequency weighting
NOTE Time-average or equivalent continuous sound level is expressed In deci els (dSj,
NOTE 2 in symbols, time- er i*,er, Is tfwtft W
Figure imgf000013_0001
where
ξ is a dummy variable of time integration over the averegiftg time inte val ending ai the !ime of observation 7 is. the averaging time interval;
P&¼) is the A-weightod snstenisneous sound pressure; and
pD is the reference sound pressure.
In equation (2), the nuriieralor of t e argument of the logarithm is the foot-me¾n-squ re, frequency-weighted sound pressure over averaging iirrie interval T,
NOTE 3 - In principle, time weighting is- not involved in a determination of time-average sound ieve)t-
It also has the following definition for time-weighted level: 3,5
f im¾- @ighled sound level
twenty times the logarithm to the base ten of the ratio of a given root-mean-squafe sound pressure io the reference sound pressure, root-mean-square sound pressure being obtained with a standard f eque cy weighting and standard lime weighting
NOTE; ! Time-we¾hted sound level is expressed in tteeibeis <dB).
NOTE 2 for tir ie- ei¾ftied . sftund tevef, example tetter symbofs are L F, LAS, LQf, and Lcs for frequency weightings A and C. and lime weightings F isrtd S,
NOTE 3 In synibOJS,, of time f is re resented y
Figure imgf000014_0001
here
r is the'exponenrtfal time cssistant m seconds tor time weighting F or S;
£ is a du my variable oi sime integration from some time i« -the past, as invested t»y for ttte lower limit of the integral, to She lime of observation /.:
- P^i ) is the A-weighted iftsfantaneeHS saund pressure; aw
p0 is ihe raferertce Bound pressure.
(n equation (1), the numerator of the argument oi the togarithm is She exponentisl-Ume- eighted, root- me an- sflUare, frequency-weighted sound pressure at observation lime i.
NOTE 4 The sketch in figure 1 Illustrates the process indicated by equation { },

Claims

CLAIMS What is claimed is:
1. An apparatus for capturing and processing audio signals, the apparatus comprising a receiver for receiving an audio signal from a microphone representing sound signals received by the microphone, an audio signal processor configured to process the audio signal to generate continuously captured audio files representing the audio signal by capturing a predetermined duration of the audio signal, generating a sampled digital version of the captured predetermined duration of the audio signal, and repeating the capturing the predetermined duration of the audio signal and the generating the sampled digital version of the captured predetermined duration of the audio signal with the effect that the audio signal is continuously processed by the audio signal processor to generate, for each of the predetermined durations, which are contiguous in a time, the sampled digital version of the audio signal, and the audio signal processor is configured to analyse each of the sampled digital versions of the captured predetermined duration of the audio signal to generate predetermined acoustic parameters for each of the predetermined durations, and to store the acoustic parameters with respect to an indication of a temporal period of the audio signal to which the acoustic parameters were generated.
2. An apparatus as claimed in Claim 1, wherein the audio signal processor is configured to process the audio signal in accordance with a plurality of threads, each thread comprising the capturing the predetermined duration of the audio signal, the generating a sampled digital version of the captured predetermined duration of the audio signal, and calling a next of the plurality of threads to capture a subsequent predetermined duration of the audio signal, wherein each of the threads are called in turn, one after the other in a cycle from a first to a last, which then repeats with the effect that the audio signal is continuously processed by the audio signal processor to generate, for each of the predetermined durations, which are contiguous in a time, the audio files representing the sampled digital version of the audio signal.
3. An apparatus as claimed in Claim 2, comprising a data store, wherein each thread includes saving the captured predetermined duration of the audio signal as one of the audio files with a file name which identifies the audio file in the file storage location, and the audio signal processor is configured to retrieve each of the sampled digital version of the captured predetermined during of the audio signal using the file name to analyse each of the captured predetermined duration of the audio signal to generate the predetermined acoustic parameters for each of the predetermined durations, and to store the acoustic parameters with respect to an indication of a temporal period of the audio signal to which the acoustic parameters were generated.
4. An apparatus as claimed in Claim 2 or 3, wherein each thread comprises first calling the next of the plurality of threads with a start delay for the thread which is equal to the predetennined thread recording time, and then capturing the predetermined duration of the audio signal, and generating the sampled digital version of the captured predetennined duration of the audio signal, so that the audio signal can be continuously captured by the plurality of the threads called in the sequence.
5. An apparatus as claimed in Claim 1, comprising a storage device, wherein the audio signal processor is configured to generate continuously the captured audio files representing the audio signal by monitoring a file system location in the storage device using a watcher thread, recording a continuous audio file, dividing the continuous audio file into discrete captured audio files, each audio file representing a captured predetennined duration of the audio signal stored in the monitored file system location, detecting each of the captured audio files stored at the monitored file system location using the watcher thread, and moving each of the detected captured audio files to a file storage location specified for audio processing, and identifying each of the captured audio files at the specified processing location for audio processing.
6. An apparatus as claimed in Claim 5, wherein watcher thread includes saving the captured predetennined duration of the audio signal as one of the audio files with a file name which identifies the audio file in the file storage location, and the audio signal processor is configured to retrieve each of the sampled digital versions of the captured predetermined during of the audio signal using the file name to analyse each of the captured predetermined duration of the audio signal to generate the predetennined acoustic parameters for each of the predetermined durations, and to store the acoustic parameters with respect to an indication of a temporal period of the audio signal to which the acoustic parameters were generated.
7. An apparatus as claimed in any of Claims 1 to 6, comprising a network interface for providing access to the acoustic parameters and audio and the indication of the predetermined duration to which the acoustic parameters relate to one or more client terminals via a communications network.
8. An apparatus as claimed in any of Claims 1 to 7, wherein the audio signal processor is configured to generate the sampled digital version of the captured predetermined duration of the audio signal as a substantially uncompressed sampled digital version of the captured predetermined duration of the audio signal.
9. An apparatus as claimed in any of Claims 1 to 8, wherein the audio signal processor is configured to generate a compression encoded data file representing the captured predetermined duration of the audio signal, to store the compression encoded data file in the data store, and to discard the sampled digital version of the captured predetermined.
10. An apparatus as claimed in Claim 9, wherein the audio signal processor is configured to compare the predetermined acoustic parameters with one or more thresholds, and if the predetermined acoustic parameters exceed one or more of the thresholds, to determine that a trigger event has occurred, and if the trigger event is determined to have occurred, then storing an audio file representing the predetermined duration of the audio signal for which the predetermined acoustic parameters exceeded the one or more thresholds.
11. An apparatus as claimed in any of Claims 1 to 109, wherein the network interface is configured to provide access to the compression encoded data file for each of the predetermined durations of the audio signal and in accordance with the trigger event the audio files representing the predetermined duration of the audio signal, stored in the data store, to a network for access by one or more cl ient devices.
12. An apparatus as claimed in Claim 11, wherein the audio signal processor is configured, if the trigger event is detected to transmit an alarm signal to one or more client devices.
13. A method of processing audio signals, the method comprising receiving an audio signal from a microphone representing sound signals received by the microphone, capturing a predetermined duration of the audio signal, generating a sampled digital version of the captured predetermined duration of the audio signal, and repeating the capturing the predetermined duration of the audio signal and the generating the sampled digital version of the captured predetermined duration of the audio signal with the effect that the audio signal is continuously processed by the audio signal processor to generate, for each of the predetermined durations, which are contiguous in a time, the sampled digital version of the audio signal, analysing each of the captured predetermined durations of the audio signal to generate predetermined acoustic parameters for each of the predetermined durations, and storing the acoustic parameters with respect to an indication of a temporal period of the audio signal to which the acoustic parameters were generated.
14. A method as claimed in Claim 13, comprising processing the audio signal in accordance with a plurality of threads, each thread comprising the capturing a predetermined duration of the audio signal, the generating a sampled digital version of the captured predetermined duration of the audio signal, and calling a next of the plurality of threads to capture a subsequent predetermined duration of the audio signal, wherein each of the threads are called in turn, one after the other in a cycle from a first to a last, which then repeats with the effect that the audio signal is continuously processed to generate, for each of the predetennined durations which are contiguous in a time, the sampled digital version of the audio signal.
15. A method as claimed in Claim 14, a data store, wherein each thread includes saving the captured predetermined duration of the audio signal as one of the audio files with a file name which identifies the audio file in the file storage location, and the method includes retrieving each of the sampled digital version of the captured predetermined during of the audio signal using the file name, and performing the analysing each of the captured predetermined duration of the audio signal to generate the predetermined acoustic parameters for each of the predetermined durations, and storing the acoustic parameters with respect to an indication of a temporal period of the audio signal to which the acoustic parameters were generated.
16. A method as claimed in Claim 14 or 15, wherein each thread comprises first calling the next of the plurality of threads with a start delay for the thread which is equal to the predetennined thread recording time, and then capturing the predetermined duration of the audio signal, and generating the sampled digital version of the captured predetermined duration of the audio signal, so that the audio signal can he continuously captured by the plurality of the threads called in the sequence.
17. A method as claimed in Claim 13, comprising generating continuously the captured audio files representing the audio signal, monitoring a file system location in the storage device using a watcher thread, recording a continuous audio file, dividing the continuous audio file into discrete captured audio files, each audio file representing a captured predetermined duration of the audio signal stored in the monitored file system location, detecting each of the captured audio files stored at the monitored file system location using the watcher thread, and moving each of the detected captured audio files to a file storage location specified for audio processing, and identifying each of the captured audio files at the specified processing location for audio processing.
18. A method as claimed in Claim 17, wherein watcher thread includes saving the captured predetermined duration of the audio signal as one of the audio files with a file name which identifies the audio file in the file storage location, and the method comprises retrieving each of the sampled digital versi ons of the captured predetermined during of the audio signal using the file name to perform the analysing each of the captured predetermined duration of the audio signal to generate the predetermined acoustic parameters for each of the predetermined durations, and storing the acoustic parameters with respect to an indication of a temporal period of the audio signal to which the acoustic parameters were generated.
19. A method as claimed in any of Claims 13 to 18, comprising providing access to the acoustic parameters and audio and the indication of the temporal period to which the audio and acoustic parameters relate to one or more client terminals via a communications network.
20. A method as claimed in any of Claims 13 to 1 , comprising generating the sampled digital version of the captured predetermined duration of the audio signal as a substantially uncompressed sampled digital version of the captured predetermined duration of the audio signal.
21. A method as claimed in any of Claims 13 to 20, the method comprising generating a compression encoded data file representing the sampled digital version of the captured predetermined duration of the audio signal, storing the compression encoded data file in the data store, and discarding the sampled digital version of the captured predetermined.
22. A method as claimed in Claim 21 , comprising comparing the predetermined acoustic parameters with one or more thresholds, and if the predetennined acoustic parameters exceed the one or more thresholds, determining that a trigger event has occurred, and if the trigger event is determined to have occurred, then storing an audio file representing the predetermined duration of the audio signal for which the predetermined acoustic parameters exceeded the one or more thresholds.
23. A method as claimed in any of Claims 13 to 22, comprising providing access to the compression encoded data file for each of the predetermined durations of the audio signal and in accordance with the trigger event the audio files representing the predetermined duration of the audio signal, stored in the data store, to a network for access by on or more client terminals.
24. A method as claimed in Claim 23, comprising , if the trigger event is detected, transmitting an alarm signal to one or more client terminals.
25. A client device for providing access to acoustic parameters provided by an audio signal processor via a network, the client device being configured to access audio and acoustic parameters generated by an audio signal processing apparatus via a communications network, the audio and acoustic parameters having been generated by receiving an audio signal from a microphone representing sound signals received by the microphone, processing the audio signal to generate continuously captured audio files representing the audio signal by capturing a predetermined duration of the audio signal, generating a sampled digital version of the captured predetermined duration of the audio signal, and repeating the capturing the predetermined duration of the audio signal and the generating the sampled digital version of the captured predetermined duration of the audio signal with the effect that the audio signal is continuously processed by the audio signal processor to generate, for each of the predetermined durations, which are contiguous in a time, the sampled digital version of the audio signal, analysing each of the sampled digital versions to generate predetermined acoustic parameters for each of the predetermined durations, and storing the acoustic parameters with respect to an indication of a temporal period of the audio signal to which the acoustic parameters were generated.
26. A system for monitoring a sound signal remotely, the system comprising an apparatus for processing audio signals, and a client terminal configured to receiver data from the apparatus for processing audio signals via a communications network, the data representing acoustic parameters detected from an audio signal representing the sound signal, the apparatus for processing audio signals comprising a receiver for receiving the audio signal from a microphone representing the sound signal received by the microphone, an audio signal processor configured to process the audio signal to generate continuously captured audio files representing the audio signal by capturing a predetermined duration of the audio signal, generating a sampled digital version of the captured predetermined duration of the audio signal, and repeating the capturing the predetermined duration of the audio signal and the generating the sampled digital version of the captured predetermined duration of the audio signal with the effect that the audio signal is continuously processed by the audio signal processor to generate, for each of the predetermined durations, which are contiguous in a time, the sampled digital version of the audio signal, and the audio signal processor is configured to analyse each of the sampled digital versions of the audio signal to generate the data representing the predetermined acoustic parameters for each of the predetermined durations, and to store the acoustic parameters with respect to an indication of a temporal period of the audio signal to which the acoustic parameters were generated, and a network interface for providing access to the data representing the acoustic parameters and the indication of the predetermined during to which the acoustic parameters relate to the client terminal via the communications network.
27. A system as claimed in Claim 26, wherein the audio signal processor is configured to process the audio signal in accordance with a plurality of threads, each thread comprising the capturing the predetermined duration of the audio signal, the generating a sampled digital version of the captured predetermined duration of the audio signal, and calling a next of the plurality of threads to capture a subsequent predetermined duration of the audio signal, wherein each of the threads are called in turn, one after the other in a cycle from a first to a last, which then repeats with the effect that the audio signal is continuously processed by the audio signal processor to generate, for each of the predetermined durations, which are contiguous in a time, the audio files representing the sampled digital version of the audio signal.
28. A system as claimed in Claim 27, comprising a data store, wherein each thread includes saving the captured predetermined duration of the audio signal as one of the audio files with a file name which identifies the audio file in the file storage location, and the audio signal processor is configured to retrieve each of the sampled digital version of the captured predetermined during of the audio signal using the file name to analyse each of the captured predetermined duration of the audio signal to generate the predetermined acoustic parameters for each of the predetermined durations, and to store the acoustic parameters with respect to an indication of a temporal period of the audio signal to which the acoustic parameters were generated.
29. A system as claimed in Claim 27 or 28, wherein each thread comprises first calling the next of the plurality of threads with a start delay for the thread which is equal to the predetermined thread recording time, and then capturing the predetermined duration of the audio signal, and generating the sampled digital version of the captured predetermined duration of the audio signal, so that the audio signal can be continuously captured by the plurality of the threads called in the sequence.
30. A system as claimed in Claim 26, comprising a storage device, wherein the audio signal processor is configured to generate continuously the captured audio files representing the audio signal by monitoring a file system location in the storage device using a watcher thread, recording a continuous audio file, dividing the continuous audio file into discrete captured audio files, each audio file representing a captured predetermined duration of the audio signal stored in the monitored file system location, detecting each of the captured audio files stored at the monitored file system location using the watcher thread, and moving each of the detected captured audio files to a file storage location specified for audio processing, and identifying each of the captured audio files at the specified processing location for audio processing.
31. A system as claimed in Claim 30, wherein watcher thread includes saving the captured predetennined duration of the audio signal as one of the audio files with a file name which identifies the audio file in the file storage location, and the audio signal processor is configured to retrieve each of the sampled digital versions of the captured predetermined during of the audio signal using the file name to analyse each of the captured predetermined duration of the audio signal to generate the predetermined acoustic parameters for each of the predetennined durations, and to store the acoustic parameters with respect to an indication of a temporal period of the audio signal to which the acoustic parameters were generated.
32. A system as claimed in any of Claims 26 to 31, wherein the audio signal processor is configured to generate the sampled digital version of the captured predetermined duration of the audio signal as an uncompressed sampled digital version of the captured predetennined duration of the audio signal.
33. A system as claimed in any of Claims 26 to 32, comprising a server operatively coupled to the network interface, wherein the data representing the acoustic parameters are stored in the server for remote access by the one or more client devices.
34. A system as claimed in any of Claims 26 to 27, wherein the audio signal processor is configured to compare the predetermined acoustic parameters with one or more thresholds, and if the predetermined acoustic parameters exceed one or more of the thresholds, to determine that a trigger event has occurred, and if the trigger event is determined to have occurred, then storing an audio file representing the predetermined duration of the audio signal for which the predetermined acoustic parameters exceeded the one or more thresholds in the server.
35. A system as claimed in Claim 34, wherein the server is configured to provide access to the compression encoded data file for each of the predetermined durations of the audio signal and in accordance with the trigger event the audio files representing the predetermined duration of the audio signal, stored in the server, to one or more client devices.
36. A system as claimed in any of Claims 33 to 35, wherein the server is configured, if the trigger event is detected to transmit an alarm signal to one or more client devices.
PCT/GB2016/050299 2015-02-09 2016-02-09 Audio signal processing apparatus, client device, system and method WO2016128729A1 (en)

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