CN116612780A - Method and device for collecting outdoor sound, computer equipment and storage medium - Google Patents
Method and device for collecting outdoor sound, computer equipment and storage medium Download PDFInfo
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Abstract
The application is suitable for the technical field of sound signal processing, and provides a field sound collecting method, a device, computer equipment and a storage medium, wherein the field sound collecting method can capture richer and more detailed sound information in different frequency ranges by collecting sound signals in a wide frequency range, and improve the quality and accuracy of sound collection; by processing the collected sound signals, a sound file is generated, the quality of the collected sound data is guaranteed to be high, information loss is reduced, and the reliability of an analysis result is further improved; the voice signal is further processed by adopting a gradient frequency-reducing signal processing algorithm, and the voice signal is processed into voice in an audible frequency range, so that a user can acquire a valuable result more quickly, the research efficiency is improved, meanwhile, the key characteristics hidden in the voice signal can be extracted, and more valuable data support is provided for research and practice in the fields of environmental protection, wild animal conservation and the like.
Description
Technical Field
The application belongs to the technical field of sound signal processing, and particularly relates to a method and device for collecting outdoor sound, computer equipment and a storage medium.
Background
Sound is not only the primary communication medium for human communication, but also the primary communication means for other animals on earth. Because of the different pronunciation frequencies and hearing frequencies among different species, the sound field environment formed by the diversity of living beings is a current hot research subject. By recording sounds in different frequency bands, the type and quantity of living beings can be deduced, and important references are provided for natural environment protection.
Currently, existing sound recorders for use in field environments are generally required to be able to record signals having bandwidths of 100Hz to 45KHz, since this range covers the pronunciation frequencies of most animals. At present, research and development of sound recording products at home and abroad are concentrated on consumer electronic sound recording products for recording human voice, and research and development of sound recording instruments for field environment are not great.
The application occasions of the product for recording the human voice limit the frequency range of the recordable voice, the requirement on the tone quality is not high, the corresponding sensitivity is low, and the requirement on the sound collection processing in the field complex environment is difficult to meet.
Disclosure of Invention
The embodiment of the application aims to provide a field sound collection method, which aims to solve the problems of limited frequency range, low sound quality and lost sound information of field sound collection.
The embodiment of the application is realized in such a way that the field sound collecting method comprises the following steps:
collecting sound signals within a wide frequency range, wherein the wide frequency range is 0.5Hz to 450 KHz;
processing the collected sound signals, generating a sound file and storing the sound file;
processing the sound file by adopting a gradient frequency-reducing signal processing algorithm to obtain sound data in a human audible frequency range;
the gradient frequency-reducing signal processing algorithm gradually reduces the frequency range of the sound signal through sound frequency segmentation and frequency mapping.
Another object of an embodiment of the present application is directed to a field sound collecting apparatus, including:
a waterproof box for providing waterproof protection;
a solar panel for generating energy;
a battery; for storing energy generated by the solar panel;
the sound processing equipment is used for processing the collected sound to obtain sound in a human audible frequency range;
and the network backhaul component is used for realizing remote data transmission.
Another object of an embodiment of the present application is a computer device comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the steps of a method for collecting field sounds as described above.
Another object of an embodiment of the present application is a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, causes the processor to perform the steps of a method for collecting outdoor sound as described above.
According to the field sound collection method provided by the embodiment of the application, the sound signals in the wide frequency range are collected, so that richer and more detailed sound information in different frequency ranges can be captured, and the quality and accuracy of sound collection are improved; by processing the collected sound signals, a sound file is generated, the quality of the collected sound data is guaranteed to be high, information loss is reduced, and the reliability of an analysis result is further improved; the voice signal is further processed by adopting a gradient frequency-reducing signal processing algorithm, and the voice signal is processed into voice in an audible frequency range, so that a user can acquire a valuable result more quickly, the research efficiency is improved, meanwhile, the key characteristics hidden in the voice signal can be extracted, and more valuable data support is provided for research and practice in the fields of environmental protection, wild animal conservation and the like.
Drawings
Fig. 1 is a flowchart of a method for collecting field sounds according to an embodiment of the present application;
fig. 2 is a flowchart of a method for collecting sound signals within a wide frequency range in a field sound collection method according to an embodiment of the present application;
FIG. 3 is a flowchart of a method for collecting field sound and generating a sound file according to the embodiment of the present application;
FIG. 4 is a flowchart of a gradient frequency-reducing signal processing algorithm in a field sound collection method according to an embodiment of the present application;
fig. 5 is a block diagram of a field sound collecting device according to an embodiment of the present application;
fig. 6 is a block diagram showing the structure of a sound processing apparatus in a field sound collecting device according to an embodiment of the present application;
FIG. 7 is a block diagram of the internal architecture of a computer device in one embodiment;
fig. 8 is a schematic diagram of preliminary processing and wavx format files in a field sound collection method according to an embodiment of the present application;
fig. 9 is a schematic diagram of spatial expansion and temporal expansion of a gradient down-conversion signal processing algorithm in a field sound collection method according to an embodiment of the present application.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
It will be understood that the terms "first," "second," and the like, as used herein, may be used to describe various elements, but these elements are not limited by these terms unless otherwise specified. These terms are only used to distinguish one element from another element. For example, a first xx script may be referred to as a second xx script, and similarly, a second xx script may be referred to as a first xx script, without departing from the scope of this disclosure.
As shown in fig. 1, in one embodiment, a method for collecting field sounds is provided, which may specifically include the following steps:
step S102, collect the sound signal in the wide frequency range.
In the embodiment of the application, a plurality of microphones with different frequency response ranges are combined into an array, so that sound signals in the range of 0.5Hz to 450KHz are captured, and ultrasonic waves with sound frequency higher than 20KHz and infrasound waves lower than 20 Hz, such as ultrasonic waves and earthquake emitted by animals such as bat and the like, and infrasound waves caused by tsunami and the like are particularly aimed at; the microphone can use a silicon microphone, the silicon microphone has high sensitivity, very wide frequency band and small nonlinear harmonic distortion, and the circuit and the conversion material can be designed according to different changes of the use scene to adjust the frequency response curve, so that the microphone can be well adapted to the field scene.
Step S104, processing the collected sound signals, generating a sound file and storing the sound file.
In the embodiment of the application, in order to store the sound in a wide frequency range, so as to facilitate the later recognition, a new storage format wavx is provided, the collected sound signal is converted into a sound format wavx in a wide frequency range which can be stored, the file format supports the storage of the sound in a range of 0-1000KHz, and a specific processor comprises an analog-to-digital converter (ADC), a Digital Signal Processor (DSP) and the like, and the collected sound signal is converted into a digital signal, and is subjected to preliminary signal processing and format conversion; the quality of the collected sound data is guaranteed to be high, information loss is reduced, and accordingly reliability of analysis results is improved.
And S106, processing the sound file by adopting a gradient frequency-reducing signal processing algorithm to obtain sound data in a human audible frequency range.
In the embodiment of the application, a gradient frequency-reducing signal processing algorithm is adopted to further analyze the wide-frequency-range sound signal output by the processing equipment. The main idea of the gradient frequency-reducing algorithm is to gradually reduce the frequency range of the signal so as to acquire data in an audible frequency range, and simultaneously, the calculation complexity and the memory requirement in the signal processing process are reduced while the original signal information is maintained, so that a user can acquire valuable results faster, the research efficiency is improved, and meanwhile, key features hidden in the sound signal can be extracted, thereby providing more valuable data support for research and practice in the fields of environmental protection, wild animal conservation and the like.
In one embodiment, sound signals of different frequency ranges are captured by a pickup matrix.
In an embodiment of the application, the pick-up matrix is responsible for capturing sound signals in different frequency ranges, including low frequency, intermediate frequency and high frequency. The low-frequency pickup assembly captures exclusively low-frequency sound signals (0.5 Hz-200 Hz), such as seismic waves and tsunami waves; the medium frequency pickup assembly mainly captures medium frequency sound signals (200 Hz-20 KHz), such as human voice and animal voice; the high-frequency pickup assembly is responsible for capturing high-frequency sound signals (20 KHz-450 KHz), such as bird song and insect sound, and the split-screen pickup array design is beneficial to improving the flexibility and accuracy of the device in different frequency ranges.
In one embodiment, as shown in fig. 2, a flowchart for collecting sound signals in a wide frequency range in a field sound collection method includes the steps of:
step S202, obtaining sound signal decibels in an implementation monitoring environment;
step S204, judging whether the sound signal decibel reaches a preset threshold value;
step S206, when the sound signal decibel reaches a preset threshold value, generating a wake-up signal, wherein the wake-up signal is used for waking up the pickup matrix from a low-power consumption state to a normal working state;
step S208, when the sound signal decibel does not reach the preset threshold, continuing to acquire the sound signal decibel in the real-time monitoring environment.
In the embodiment of the application, before the sound pickup array captures the sound signals, whether the decibels of the collected sound signals reach a preset threshold value is detected, the decibels of the sound can be regarded as sound intensity reaction, the sound frequency is the vibration frequency of the sound in time, the set decibel threshold value can be 40 decibels, the sound signals collected through the arousing decibel threshold value and the noise generated by the collecting equipment can form a higher signal-to-noise ratio, the interference of the noise of the equipment is reduced, the arousing step is set according to the set decibel threshold value arousing the sound pickup matrix, the main purpose of the arousing step is energy conservation, the energy consumption of the equipment when the sound data is not required to be collected can be reduced, the service life of the equipment is prolonged, and the running cost is reduced.
In one embodiment, as shown in fig. 3, in the method for collecting outdoor sound provided by the embodiment of the present application, the collected sound signal is processed to generate a sound file flowchart, which specifically includes the following steps:
step S302, receiving collected sound signals and converting the sound signals into sound digital signals;
step S304, the sound digital signal is processed preliminarily, and a wavx sound format file is generated and stored;
in the embodiment of the application, the collected sound signals are analog signals, the analog signals are converted into digital signals through an analog-to-digital converter, a digital signal processor and the like, and the preliminary processing can be filtering processing and amplifying processing, and the filtering processing can be: reducing the intensity of certain parts of the signals, separating out specific frequency ranges and eliminating unnecessary frequencies for the sound collected by the sound pick-up devices in different frequency bands, wherein the adopted filters comprise a low-pass filter (only allowing signals lower than a certain frequency to pass through), a high-pass filter (only allowing signals higher than a certain frequency to pass through) and a band-pass filter (only allowing signals in a certain frequency range to pass through), and the signal-to-noise ratio of the sound signals is optimized through filtering; and (3) amplification treatment: the high frequency and low frequency received signals with small amplitude and low intensity are amplified to proper levels for further processing; the wavx format storage file is one of sound file formats for a wide frequency range that support storing 0-1000KHz sounds, including metadata and audio data.
In one embodiment, the metadata and the audio data include:
the metadata includes: file size, compression mode, sampling rate, bit depth, number of channels, lowest frequency, highest frequency, timestamp, geographic location, device information, file type identification;
the audio data includes: audio data block, audio data block size, number of audio data blocks.
In an embodiment of the application, the compression mode may be an apple lossless audio codec (Apple Lossless Audio Codec), advanced audio coding (Advanced Audio Coding); the sampling rate, according to the Nyquist theorem, i.e. a continuous signal can be completely reconstructed from its discrete samples without causing aliasing, must be at least twice the highest frequency, the bit depth can be 24 bits or 32 bits, the timestamp is the time point when the sound collection starts, and the geographic position is determined by longitude and latitude; the audio data block is a plurality of sound data storage modules, so that the original data structure and sequence are kept for the convenience of subsequent analysis, the size of the audio data block is a numerical value and is used for marking the size of single audio data blocks, and the number of the audio data blocks is equal to the sum of all the single audio data blocks.
In the embodiment of the application, the sound analog signals collected by the pickup matrix are converted into digital signals, filtered, amplified and the like, and converted into the sound file format with a wide frequency range, so that the quality of the collected sound data can be ensured to be high, the information loss is reduced, and the reliability of the analysis result is improved.
In one embodiment, as shown in fig. 4, a flowchart of a gradient down-conversion signal processing algorithm in a field sound collecting method according to the embodiment of the present application specifically includes the following steps:
step S402, dividing the sound file into a plurality of frequency segments, wherein a part of each frequency segment is an audible frequency range;
step S404, frequency mapping is carried out on each frequency segment to obtain a plurality of audio signals;
step S406, combining all the audio signals to obtain audible audio signals;
step S408, digitally encoding the audible audio signal to obtain audio analysis data and storing the audio analysis data.
In the embodiment of the application, the sound file is segmented according to frequency, and can be divided into a plurality of high-frequency sound data blocks, a plurality of medium-frequency sound data blocks, a plurality of low-frequency data blocks, no gap exists between adjacent data blocks, sound frequency is not missed, each data block contains frequency which can be heard by part of human ears, the frequency mapping is to reduce the frequency of an ultrasonic frequency band to the human ear range through a signal processing algorithm (frequency filtering, resampling, frequency conversion and the like), and the frequency of a sub-sound frequency band is lifted to the human ear range, and the frequency mapping has two modes: spatial unfolding and temporal unfolding. Spatial expansion refers to a method that the whole audio time is unchanged, the frequency range is compressed, the full sound of the audio display in the audible range is realized, and the time expansion refers to a method that the current audible sound is unchanged, and the audio below or above the audible range is arranged according to time blocks from low to high; after frequency mapping, a series of audio signals in the audible range of the human ear are obtained, the signals are combined together to form an audible audio signal containing all original sound information, and finally, the audible audio signal is digitally encoded and converted into an audio analysis data matrix to obtain audio analysis data which are stored in a file.
In the embodiment of the application, the computing complexity and the memory requirement of a computer can be reduced through a gradient frequency-reducing signal processing algorithm, the sound signal is processed into sound in an audible range, the analysis and the understanding of a user are facilitated, and in the process, the time domain characteristics, the frequency domain characteristics and the time-frequency domain characteristics of the signal, such as short-time Fourier transform (STFT), wavelet transform, mel Frequency Cepstrum Coefficient (MFCC) and the like, can be extracted.
As shown in fig. 5, in one embodiment, a field sound collecting device is provided, which may specifically include:
a waterproof box 501 for providing waterproof protection;
a solar panel 505 for generating energy;
a battery 503; for storing energy generated by the solar panel;
a sound processing device 502 for processing the collected sound to obtain a sound in a human audible frequency range;
a network backhaul component 504 for enabling remote data transmission.
In the embodiment of the application, the field environment can meet severe weather conditions such as rainwater, moisture and the like, waterproof protection needs to be provided for equipment, the waterproof box can protect the equipment from being corroded by moisture, the grade of the waterproof box is IP68, and the reliability and the stability of the equipment under various environmental conditions are ensured; the solar panel can provide sustainable energy for the system by collecting solar energy, and the solar panel is selected according to the power consumption requirement of the system and the sunshine condition of the region where the solar panel is positioned, so that the equipment always has enough power supply in the long-time operation process; the solar cell is used for storing the energy collected by the solar panel, and the cell has enough capacity to meet the running requirement of the system in continuous cloudy days or nights, and in addition, the cell with good cycle life and low self-discharge rate, such as a lithium ion cell or a lithium iron phosphorus cell, is selected; in order to realize remote data transmission and real-time monitoring, the system can be integrated with a network backhaul component (such as a wireless communication module) which transmits the collected sound data to a remote server or a user terminal device in real time by using a 5G technology. And selecting a proper communication technology according to the actual application scene and the network coverage condition.
As shown in fig. 6, in one embodiment, the sound processing apparatus includes:
the device wake-up module 601 is configured to obtain a sound signal decibel in a real-time monitoring environment; judging whether the sound signal decibel reaches a preset threshold value or not;
the sound collection module 602 is configured to collect sound signals within a wide frequency range;
a file generating module 603, configured to process the collected sound signal, generate a sound file, and store the sound file;
the data analysis module 604 is configured to process the sound file by using a gradient frequency-reducing signal processing algorithm, so as to obtain sound data in a human audible frequency range; the gradient frequency-reducing signal processing algorithm gradually reduces the frequency range of the sound signal through sound frequency segmentation and frequency mapping.
In the embodiment of the application, by collecting the sound signals in a wide frequency range, richer and more detailed sound information in different frequency ranges can be captured, and the quality and accuracy of sound collection are improved; by processing the collected sound signals, a sound file is generated, the quality of the collected sound data is guaranteed to be high, information loss is reduced, and the reliability of an analysis result is further improved; the voice signal is further processed by adopting a gradient frequency-reducing signal processing algorithm, and the voice signal is processed into voice in an audible frequency range, so that a user can acquire a valuable result more quickly, the research efficiency is improved, meanwhile, the key characteristics hidden in the voice signal can be extracted, and more valuable data support is provided for research and practice in the fields of environmental protection, wild animal conservation and the like.
FIG. 7 illustrates an internal block diagram of a computer device in one embodiment. As shown in fig. 7, the computer device includes a processor, a memory, a network interface, an input device, and a display screen connected by a system bus. The memory includes a nonvolatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system and may also store a computer program which, when executed by a processor, causes the processor to implement a method of field sound collection. The internal memory may also have stored therein a computer program which, when executed by the processor, causes the processor to perform the method of collecting wild sound. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the structure shown in FIG. 7 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, the field sound collecting apparatus provided by the present application may be implemented in the form of a computer program that is executable on a computer device as shown in fig. 7. The memory of the computer device may store various program modules constituting the field sound collecting apparatus, such as a device wake-up module 601, a sound collecting module 602, a file generating module 603 and a data analyzing module 604 shown in fig. 6. The computer program constituted by the respective program modules causes the processor to execute the steps in the outdoor sound collection method of the respective embodiments of the present application described in the present specification.
For example, the computer device shown in fig. 7 may perform steps S202 to S208 through the device wake-up module 601 in the outdoor sound collecting apparatus as shown in fig. 6.
In one embodiment, a computer device is presented, the computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
collecting sound signals within a wide frequency range, wherein the wide frequency range is 0.5Hz to 450 KHz;
processing the collected sound signals, generating a sound file and storing the sound file;
processing the sound file by adopting a gradient frequency-reducing signal processing algorithm to obtain sound data in a human audible frequency range;
the gradient frequency-reducing signal processing algorithm gradually reduces the frequency range of the sound signal through sound frequency segmentation and frequency mapping.
In one embodiment, a computer readable storage medium is provided, having a computer program stored thereon, which when executed by a processor causes the processor to perform the steps of: collecting sound signals within a wide frequency range, wherein the wide frequency range is 0.5Hz to 450 KHz;
processing the collected sound signals, generating a sound file and storing the sound file;
processing the sound file by adopting a gradient frequency-reducing signal processing algorithm to obtain sound data in a human audible frequency range;
the gradient frequency-reducing signal processing algorithm gradually reduces the frequency range of the sound signal through sound frequency segmentation and frequency mapping.
It should be understood that, although the steps in the flowcharts of the embodiments of the present application are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in various embodiments may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the sub-steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
Those skilled in the art will appreciate that all or part of the processes in the methods of the above embodiments may be implemented by a computer program for instructing relevant hardware, where the program may be stored in a non-volatile computer readable storage medium, and where the program, when executed, may include processes in the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.
The foregoing description of the preferred embodiments of the application is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the application.
Claims (10)
1. A method of collecting field sounds, comprising:
collecting sound signals within a wide frequency range, wherein the wide frequency range is 0.5Hz to 450 KHz;
processing the collected sound signals, generating a sound file and storing the sound file;
processing the sound file by adopting a gradient frequency-reducing signal processing algorithm to obtain sound data in a human audible frequency range;
the gradient frequency-reducing signal processing algorithm gradually reduces the frequency range of the sound signal through sound frequency segmentation and frequency mapping.
2. The method of claim 1, wherein the step of collecting the sound signal in a wide frequency range comprises the steps of:
capturing sound signals in different frequency ranges through a pickup matrix; the pick-up matrix comprises at least: the low frequency pickup assembly, intermediate frequency pickup assembly and high frequency pickup assembly.
3. The method of claim 2, wherein the step of collecting the sound signal in a wide frequency range further comprises the steps of:
acquiring sound signal decibels in a real-time monitoring environment;
judging whether the sound signal decibel reaches a preset threshold value or not;
when the sound signal decibel reaches a preset threshold value, generating a wake-up signal; the wake-up signal is used for waking up the pickup matrix from a low-power consumption state to a normal working state;
and when the sound signal decibel does not reach the preset threshold value, continuously acquiring the sound signal decibel in the real-time monitoring environment.
4. The method of claim 1, wherein the processing the collected sound signals to generate and store sound files comprises the steps of:
receiving an acquired sound signal and converting the sound signal into a sound digital signal;
preliminarily processing the sound digital signal to generate a wavx sound format file for storage;
the preliminary treatment comprises at least: filtering and amplifying; the wavx sound format file contains at least metadata and audio data.
5. The method of claim 4, wherein the metadata and the audio data comprise:
the metadata includes: file size, compression mode, sampling rate, bit depth, number of channels, lowest frequency, highest frequency, timestamp, geographic location, device information, file type identification;
the audio data includes: audio data block, audio data block size, number of audio data blocks.
6. The method of claim 1, wherein the step of processing the sound file using a gradient down-conversion signal processing algorithm comprises the steps of:
dividing the sound file into a plurality of frequency bins, each frequency bin having a portion of an audible human frequency range;
frequency mapping is carried out on each frequency segment to obtain a plurality of audio signals, the frequency mapping reduces the frequency of an ultrasonic frequency band to a human audible frequency range in a space unfolding mode or a time unfolding mode, and the frequency of a sub-audio frequency band is lifted to the human audible frequency range;
combining all the audio signals to obtain audible audio signals;
and carrying out digital coding on the audible audio signal to obtain audio analysis data and storing the audio analysis data.
7. A field sound collecting device, the device comprising:
a waterproof box for providing waterproof protection;
a solar panel for generating energy;
a battery; for storing energy generated by the solar panel;
the sound processing equipment is used for processing the collected sound to obtain sound in a human audible frequency range;
and the network backhaul component is used for realizing remote data transmission.
8. The outdoor sound collecting apparatus of claim 7, wherein the sound processing device comprises:
the equipment wake-up module is used for acquiring sound signal decibels in a real-time monitoring environment; judging whether the sound signal decibel reaches a preset threshold value or not;
the sound collection module is used for collecting sound signals within a wide frequency range;
the file generation module is used for processing the collected sound signals, generating sound files and storing the sound files;
the data analysis module is used for processing the sound file by adopting a gradient frequency-reducing signal processing algorithm to obtain sound data in a human audible frequency range; the gradient frequency-reducing signal processing algorithm gradually reduces the frequency range of the sound signal through sound frequency segmentation and frequency mapping.
9. A computer device comprising a memory and a processor, the memory having stored therein a computer program which, when executed by the processor, causes the processor to perform the steps of a method of collecting wild sound as claimed in any one of claims 1 to 6.
10. A computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, which computer program, when being executed by a processor, causes the processor to perform the steps of a method for collecting outdoor sound according to any one of claims 1 to 6.
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