CN109712639A - A kind of audio collecting system and method based on wavelet filter - Google Patents
A kind of audio collecting system and method based on wavelet filter Download PDFInfo
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- CN109712639A CN109712639A CN201811406537.2A CN201811406537A CN109712639A CN 109712639 A CN109712639 A CN 109712639A CN 201811406537 A CN201811406537 A CN 201811406537A CN 109712639 A CN109712639 A CN 109712639A
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Abstract
The present invention relates to a kind of audio collecting system and method based on wavelet filter, technical characterstic are: including sound pick up equipment and sound conversion module；The sound conversion module includes bandpass filter, amplifying circuit, stereo process module, audio coder and central processing unit；The output end of the sound pick up equipment successively in sound conversion module bandpass filter and amplifying circuit be connected, for effective audio signal to be amplified after multiple sound analog signal is filtered pretreatment；The output end of the amplifying circuit is connected with stereo process module, for realizing multi-channel sound signal integration；The output end of the stereo process module is connected with audio coder, for multiple sound analog signal to be converted to digital quantity voice signal；The output end of the audio coder is connected with central processing unit, for carrying out digital filtering and compaction algorithms.The speech intelligibility that the present invention acquires is high and can save memory capacity.
Description
Technical field
The invention belongs to audio mining technique fields, are related to ship navigating data logger sound conversion module, especially
A kind of audio collecting system and method based on wavelet filter.
Background technique
The audio mining technique of wavelet filter is applied to ship navigating data logger sound conversion module, naval vessels boat
The major function of row data logger is acquisition ship navigating data, and the analysis processing for navigation accident, emergency event is provided with
Strong evidence evidence, and audio data most can intuitively reflect that the process of accident, the quality of collection effect directly affect the judgement to accident.
But since naval vessels acoustic environment is complicated, while with different degrees of noise, while the data volume for needing to acquire is again
It is very big, ship navigating data logger limited storage space, using the acquisition of existing audio mining technique speech intelligibility not
It is high and a large amount of memory space need to be occupied.
Summary of the invention
It is an object of the invention to overcome the deficiencies in the prior art, propose that a kind of design is reasonable, speech intelligibility is high and energy
Enough save the audio collecting system and method for memory capacity.
The present invention solves its realistic problem and adopts the following technical solutions to achieve:
A kind of audio collecting system based on wavelet filter, including sound pick up equipment or audio frequency apparatus and sound modulus of conversion
Block；The sound conversion module includes bandpass filter, amplifying circuit, stereo process module, audio coder and central processing
Unit；The output end of the sound pick up equipment or audio frequency apparatus successively with the bandpass filter and amplifying circuit in sound conversion module
It is connected, amplifies effective audio signal for multiple sound analog signal to be filtered after pretreatment；The amplification
The output end of circuit is connected with stereo process module, for realizing multi-channel sound signal integration；The stereo process module
Output end is connected with audio coder, for multiple sound analog signal to be converted to digital quantity voice signal；The audio
The output end of encoder is connected with central processing unit, for carrying out digital filtering and compaction algorithms.
Moreover, the output end of the audio coder is connected with Ethernet driver, by Ethernet interface by network
Data are sent to host computer.
A kind of audio collection method based on wavelet filter, comprising the following steps:
Step 1, selected wavelet function and the wavelet decomposition number of plies；
Step 2 carries out one-dimensional discrete small echo (/ packet) decomposition to data with wavelet decomposition function；
Step 3, the wavelet coefficient for extracting effective frequency range:
Step 4 carries out wavelet noise processing to the wavelet coefficient of extraction:
Step 5 carries out wavelet reconstruction to the signal after de-noising；
Moreover, the step 2 method particularly includes: each layer frequency band is compared with the effective band of actual signal, thus
Determine wavelet decomposition.
Moreover, the specific method of the step 4 is: utilizing signal analytically basic theories, construct a function, utilize it
The default threshold that can produce signal recycles this threshold value to carry out wavelet noise processing, or in detection device installation and debugging
In the process, the noise size at the scene of measuring, and then find out threshold value.The advantages of the present invention:
1, of the invention to pass through design simulation audio signal bandpass filter hardware circuit and wavelet threshold short-time spectrum amplitude
The voice software of Minimum Mean Squared Error estimation enhances algorithm, realizes software and hardware two-stage noise suppressed, obtains good audio
Effect, and greatly improve signal-to-noise ratio.
2, the present invention is by designing wavelet threshold short-time spectrum amplitude Minimum Mean Squared Error estimation in central processing unit
Voice enhancement algorithm should use a kind of threshold with Infinite Order continuous derivative based on the audio collection method of wavelet filter
Value function, the shortcomings that overcoming conventional threshold values function soft-threshold function and hard threshold function, while one is obtained based on unbiased esti-mator
Kind wavelet threshold denoising method, can adaptively search optimal threshold, meet the real-time processing of time varying signal.This algorithm significantly mentions
High s/n ratio ensure that with optimal quantization method and huffman coding and make compression ratio accomplish satisfied effect in the given distortion factor
Fruit.
Detailed description of the invention
Fig. 1 is circuit block diagram of the invention；
Fig. 2 (a) is the test effect figure of the not sound conversion module using digital filtering processing (wavelet filter)；
Fig. 2 (b) is the test effect of the sound conversion module using digital filtering processing (wavelet filter) of the invention
Fruit figure；
Fig. 3 is process flow diagram of the invention.
Specific embodiment
The embodiment of the present invention is described in further detail below in conjunction with attached drawing:
A kind of audio collecting system based on wavelet filter, as shown in Figure 1, comprising: sound pick up equipment or audio frequency apparatus
With sound conversion module；The sound conversion module includes bandpass filter, amplifying circuit, stereo process module, audio coding
Device and central processing unit；The output end of the sound pick up equipment or audio frequency apparatus successively with the bandpass filtering in sound conversion module
Device is connected with amplifying circuit, puts effective audio signal for multiple sound analog signal to be filtered after pretreatment
Greatly；The output end of the amplifying circuit is connected with stereo process module, for realizing multi-channel sound signal integration；The audio mixing
The output end of processing module is connected with audio coder, for multiple sound analog signal to be converted to digital quantity sound letter
Number；The output end of the audio coder is connected with central processing unit, for carrying out digital filtering and compaction algorithms.
In the present embodiment, the output end of the audio coder is connected with Ethernet driver, is connect by Ethernet
Network data is sent to host computer by mouth.
A kind of course of work of audio collecting system based on wavelet filter of the invention is:
The multichannel external voice analog signal of the acquisition of sound pick up equipment or audio frequency apparatus is simulated through bandpass filter
Filter preprocessing is measured, the unresolvable frequency signal of human ear is filtered out, is then had through analog quantity amplifying circuit to collected
Effect audio signal amplifies, and then multi-channel sound signal integration is realized by multichannel mixer circuit, most afterwards through audio coder
Digital quantity voice signal is converted to, by central processing unit further progress digital filtering and compaction algorithms, and passes through Ethernet
Interface is sent.
A kind of audio collection method based on wavelet filter, as shown in Figure 3, comprising the following steps:
Step 1, selected wavelet function and the wavelet decomposition number of plies；
Step 2 carries out one-dimensional discrete small echo (/ packet) decomposition to data with wavelet decomposition function；
The step 2 method particularly includes: in general, the signal of an one-dimensional discrete, its high frequency section influences
Be wavelet decomposition high frequency first layer, low frequency part influence is wavelet decomposition bottommost layer and its low frequency layer.By each layer frequency
Band is compared with the effective band of actual signal, so that it may determine wavelet decomposition.
Step 3, the wavelet coefficient for extracting effective frequency range:
The wavelet coefficient for extracting useful frequency range also can be regarded as wavelet filtering, that is, the small echo except useful band
Decomposition coefficient pressure sets 0.
Step 4 carries out wavelet noise processing to the wavelet coefficient of extraction:
The specific method of the step 4 is: using signal analytically basic theories, a function is constructed, it can be with using it
The default threshold for generating signal recycles this threshold value to carry out wavelet noise processing, or in detection device installation and debugging process
In, the noise size at the scene of measuring, and then find out threshold value.
Step 5 carries out wavelet reconstruction to the signal after de-noising；
The specific method of the step 5 is: the wavelet coefficient of the useful frequency range of extraction carries out wavelet reconstruction again after de-noising
Waveform.
Wavelet analysis can simultaneously when, signal is analyzed in frequency domain, and the mutation portion in signal can be efficiently differentiated
Point and noise, the spike and Mutational part in useful signal can be saved well, to realize the de-noising of signal.
Effectiveness of the invention is verified in the SoundRec performance test of Chinese Academy of Sciences's acoustic metrology testing station,
Not using and using sound conversion module Contrast on effect such as Fig. 2 (a) in testing of digital filtering processing (wavelet filter)
With Fig. 2 (b), whole features of original signal are remained in treated signal, but irrelevant information and noise have greatly reduced very
It is eliminated to whole.
It is emphasized that embodiment of the present invention be it is illustrative, without being restrictive, therefore the present invention includes
It is not limited to embodiment described in specific embodiment, it is all to be obtained according to the technique and scheme of the present invention by those skilled in the art
Other embodiments, also belong to the scope of protection of the invention.
Claims (5)
1. a kind of audio collecting system based on wavelet filter, it is characterised in that: including sound pick up equipment or audio frequency apparatus and
Sound conversion module；The sound conversion module includes bandpass filter, amplifying circuit, stereo process module, audio coder
And central processing unit；The output end of the sound pick up equipment or audio frequency apparatus successively with the bandpass filter in sound conversion module
It is connected with amplifying circuit, puts effective audio signal for multiple sound analog signal to be filtered after pretreatment
Greatly；The output end of the amplifying circuit is connected with stereo process module, for realizing multi-channel sound signal integration；The audio mixing
The output end of processing module is connected with audio coder, for multiple sound analog signal to be converted to digital quantity sound letter
Number；The output end of the audio coder is connected with central processing unit, for carrying out digital filtering and compaction algorithms.
2. a kind of audio collecting system based on wavelet filter according to claim 1, it is characterised in that: the sound
The output end of frequency encoder is connected with Ethernet driver, and network data is sent to host computer by Ethernet interface.
3. a kind of acquisition method of audio collecting system based on wavelet filter as described in claim 1 and 2, feature
It is: the following steps are included:
Step 1, selected wavelet function and the wavelet decomposition number of plies；
Step 2 carries out one-dimensional discrete small echo (/ packet) decomposition to data with wavelet decomposition function；
Step 3, the wavelet coefficient for extracting effective frequency range:
Step 4 carries out wavelet noise processing to the wavelet coefficient of extraction:
Step 5 carries out wavelet reconstruction to the signal after de-noising.
4. a kind of acquisition method of audio collecting system based on wavelet filter according to claim 3, feature
It is: the step 2 method particularly includes: each layer frequency band compares with the effective band of actual signal, so that it is determined that small echo
It decomposes.
5. a kind of acquisition method of audio collecting system based on wavelet filter according to claim 3, feature
Be: the specific method of the step 4 is: utilizing signal analytically basic theories, constructs a function, can produce using it
The default threshold of signal, recycle this threshold value carry out wavelet noise processing, or in detection device installation and debugging during, survey
Live noise size out, and then find out threshold value.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113766173A (en) * | 2021-09-22 | 2021-12-07 | 广东电网有限责任公司 | Power transformation defect elimination remote video consultation system and method based on bone oscillator sound transmission |
| CN114722885A (en) * | 2022-06-09 | 2022-07-08 | 山东山矿机械有限公司 | Intelligent detection method and system for abnormal operation of carrier roller carrying trolley |
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Effective date of registration: 20190722 Address after: 300131 Tianjin Road, No. 1, No. 1, Hongqiao District Applicant after: TIANJIN QISUO PRECISION ELECTROMECHANICAL TECHNOLOGY CO.,LTD. Address before: 300131 Tianjin Road, No. 1, No. 1, Hongqiao District Applicant before: CHINA SHIPBUILDING INDUSTRY CORPORATION NO.707 Research Institute |
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Application publication date: 20190503 |