CN107257528A - A kind of detection method of uttering long and high-pitched sounds based on weighted spectral entropy - Google Patents
A kind of detection method of uttering long and high-pitched sounds based on weighted spectral entropy Download PDFInfo
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- CN107257528A CN107257528A CN201710448371.XA CN201710448371A CN107257528A CN 107257528 A CN107257528 A CN 107257528A CN 201710448371 A CN201710448371 A CN 201710448371A CN 107257528 A CN107257528 A CN 107257528A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R3/00—Circuits for transducers, loudspeakers or microphones
- H04R3/04—Circuits for transducers, loudspeakers or microphones for correcting frequency response
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L21/00—Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
- G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
- G10L21/0208—Noise filtering
- G10L21/0216—Noise filtering characterised by the method used for estimating noise
- G10L21/0232—Processing in the frequency domain
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/03—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the type of extracted parameters
- G10L25/18—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the type of extracted parameters the extracted parameters being spectral information of each sub-band
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/03—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the type of extracted parameters
- G10L25/21—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the type of extracted parameters the extracted parameters being power information
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/45—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the type of analysis window
Abstract
The invention discloses a kind of detection method of uttering long and high-pitched sounds based on weighted spectral entropy, belong to communication technical field.The detection method of uttering long and high-pitched sounds based on weighted spectral entropy of the present invention, first voice signal adding window framing to be detected, the power spectrum for obtaining signal is calculated, and thus calculates power spectrum rate of change, the power spectral envelope of current frame signal and the weighted spectral entropy of signal, detection judgement is carried out according to weighted spectral entropy.The detection method of uttering long and high-pitched sounds based on weighted spectral entropy of the invention can lift detection robustness, ensure compared with high detection rate while, can be effectively reduced false alarm rate based on weighted spectral entropy, with good application value.
Description
Technical field
The present invention relates to communication technical field, a kind of detection method of uttering long and high-pitched sounds based on weighted spectral entropy is specifically provided.
Background technology
Sound reinforcement system is typically the system that the sound of talker is amplified in real time to hearer, and talker and hearer are usual
In same acoustic enviroment.It is a kind of common phenomenon in modern sound reinforcement system to utter long and high-pitched sounds.The generation for phenomenon of uttering long and high-pitched sounds can serious shadow
The performance of sound reinforcement system is rung, reduction sound reinforcement system exports the quality of voice, influences the subjective auditory perception of people.The generation uttered long and high-pitched sounds
Process is, when signal meets phase and gain condition at the same time, self-oscillation to be produced at a certain frequency, so as to cause to expand
The amplitude of the signal of sound system output is continuously increased, and then produces ear-piercing utter long and high-pitched sounds.
Chauvent's criterion algorithm based on trapper, because uttering long and high-pitched sounds phenomenon effect substantially with suppression, computation complexity is low to be easy to
Realize, and be widely used to exporting the advantages of voice quality impairments are smaller.Detection of uttering long and high-pitched sounds is uttered long and high-pitched sounds based on trapper
The key technology of suppressing method.Because signal of uttering long and high-pitched sounds is a kind of single-frequency narrow band signal, the spy constantly increased with the time with energy
Point, many at this stage utter long and high-pitched sounds detection method be based on following characteristics, including：Peak-Average-Power Ratio (Peak-to-
Average Power Ratio, PAPR), peak value harmonic power ratio (Peak-to-Harmonic Power Ratio, PHPR) and
Interframe amplitude spectrum slope deviation (Interframe Magnitude Slope Deviation, IMSD) etc..But these are traditional
The problem of trapper chauvent's criterion method generally existing false alarm rate is higher, substantially can export quality of speech signal by reduction public address.
The content of the invention
The technical assignment of the present invention is to be lifted to detect robustness there is provided one kind for above-mentioned problem, is being ensured
While compared with high detection rate, the detection method of uttering long and high-pitched sounds based on weighted spectral entropy of false alarm rate can be effectively reduced.
To achieve the above object, the invention provides following technical scheme：
A kind of detection method of uttering long and high-pitched sounds based on weighted spectral entropy, the detection method of uttering long and high-pitched sounds first adds voice signal to be detected
Window framing, calculates the power spectrum for obtaining signal, and thus calculate the weighting work(of the power spectrum rate of change of signal, current frame signal
Rate is composed and weighted spectral entropy, and detection judgement is carried out according to weighted spectral entropy；Specifically include following steps：
S1：By voice signal adding window framing to be detected, the power spectrum for obtaining signal is calculated；
S2：According to the power spectrum rate of change of the spectra calculation signal of step S1 signal；
S3：The power spectral envelope of current frame signal is calculated according to step S2 power spectrum rate of change；
S4：Weighted spectral entropy is calculated according to step S3 power spectral envelope；
S5：Detection judgement is carried out according to step S4 weighted spectral entropy
The detection threshold T0 of weighted spectral entropy is set, if the weighted spectral entropy of current frame signal is less than weighted spectral entropy threshold T0,
Judgement present frame is frame of uttering long and high-pitched sounds, and otherwise judgement is speech frame.
Preferably, in step S1, the power spectrum of signal is
Wherein, Sx(n,wk) for n-th frame signal in frequency wkThe power spectrum at place, x (nNS+ m) for the of n-th frame voice signal
M numerical value, m is per frame data index value, m=0,1,2 ..., NW- 1, NWFor the length of every frame signal, NSMoved for every frame signal
Length, h (m) be length NWHamming window, e represents the nature truth of a matter, and j represents imaginary number.
Preferably, in step S2, power spectrum rate of change is
Wherein, Fx(n,wk) for n-th frame signal in frequency wkThe power spectrum rate of change at place, R is the number for being elected to be reference frame, l
For frame index value.
Preferably, in step S3, the power spectral envelope of current frame signal is
Wherein, SF(n,wk) for n-th frame signal in frequency wkThe power spectral envelope at place.
Preferably, in step S4, weighted spectral entropy is
Wherein, Ex(n) it is the weighted spectral entropy of current n-th signal, M is the number of Frequency point.
Compared with prior art, the detection method of uttering long and high-pitched sounds of the invention based on weighted spectral entropy has beneficial effect following prominent
Really：Compared with the detection method of uttering long and high-pitched sounds based on PAPR, the detection method of uttering long and high-pitched sounds of the present invention based on weighted spectral entropy is improved
Robustness under different acoustic fields environment, can be effectively reduced false alarm rate, hence it is evident that improve the quality that public address exports voice signal, have
Good application value.
Brief description of the drawings
Fig. 1 is the flow chart of the detection method of uttering long and high-pitched sounds of the present invention based on weighted spectral entropy.
Embodiment
Below in conjunction with drawings and examples, the detection method of uttering long and high-pitched sounds based on weighted spectral entropy to the present invention makees further detailed
Describe in detail bright.
Embodiment
As shown in figure 1, the detection method of uttering long and high-pitched sounds based on weighted spectral entropy of the present invention, first voice signal adding window to be detected
Framing, calculates the power spectrum for obtaining signal, and thus calculate the power spectrum rate of change of signal, the weighted power of current frame signal
Spectrum and weighted spectral entropy, detection judgement is carried out according to weighted spectral entropy.
The detection method of uttering long and high-pitched sounds specifically includes following steps：
S1：By voice signal adding window framing to be detected, the power spectrum for obtaining signal is calculated
Wherein, Sx(n,wk) for n-th frame signal in frequency wkThe power spectrum at place, x (nNS+ m) for the of n-th frame voice signal
M numerical value, m is per frame data index value, m=0,1,2 ..., NW- 1, NWFor the length of every frame signal, NSMoved for every frame signal
Length, h (m) be length NWHamming window, e represents the nature truth of a matter, and j represents imaginary number.
S2：According to the power spectrum rate of change of the spectra calculation signal of signal
Wherein, Fx(n,wk) for n-th frame signal in frequency wkThe power spectrum rate of change at place, R is the number for being elected to be reference frame, l
For frame index value.
S3：The power spectral envelope of current frame signal is calculated according to power spectrum rate of change
Wherein, SF(n,wk) for n-th frame signal in frequency wkThe power spectral envelope at place.
S4：Weighted spectral entropy is calculated according to the power spectral envelope of frame signal
Wherein, Ex(n) it is the weighted spectral entropy of current n-th signal, M is the number of Frequency point.
S5：Detection judgement is carried out according to weighted spectral entropy
The detection threshold T0 of weighted spectral entropy is set, if the weighted spectral entropy of current frame signal is less than weighted spectral entropy threshold T0,
Judgement present frame is frame of uttering long and high-pitched sounds, and otherwise judgement is speech frame.
Embodiment described above, is the present invention more preferably embodiment, those skilled in the art is at this
The usual variations and alternatives carried out in the range of inventive technique scheme all should be comprising within the scope of the present invention.
Claims (5)
1. a kind of detection method of uttering long and high-pitched sounds based on weighted spectral entropy, it is characterised in that：The detection method of uttering long and high-pitched sounds is first to be detected
Voice signal adding window framing, calculates the power spectrum for obtaining signal, and thus calculate the power spectrum rate of change of signal, present frame letter
Number power spectral envelope and weighted spectral entropy, according to weighted spectral entropy carry out detection judgement；Specifically include following steps：
S1：By voice signal adding window framing to be detected, the power spectrum for obtaining signal is calculated；
S2：According to the power spectrum rate of change of the spectra calculation signal of step S1 signal；
S3：The power spectral envelope of current frame signal is calculated according to step S2 power spectrum rate of change；
S4：Weighted spectral entropy is calculated according to step S3 power spectral envelope；
S5：Detection judgement is carried out according to step S4 weighted spectral entropy
The detection threshold T0 of weighted spectral entropy is set, if the weighted spectral entropy of current frame signal is less than weighted spectral entropy threshold T0, adjudicated
Present frame is frame of uttering long and high-pitched sounds, and otherwise judgement is speech frame.
2. the detection method of uttering long and high-pitched sounds according to claim 1 based on weighted spectral entropy, it is characterised in that：In step S1, signal
Power spectrum be
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3. the detection method of uttering long and high-pitched sounds according to claim 1 or 2 based on weighted spectral entropy, it is characterised in that：In step S2, work(
Rate composes rate of change
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4. the detection method of uttering long and high-pitched sounds according to claim 3 based on weighted spectral entropy, it is characterised in that：In step S3, currently
The power spectral envelope of frame signal is
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5. the detection method of uttering long and high-pitched sounds according to claim 4 based on weighted spectral entropy, it is characterised in that：In step S4, weighting
Composing entropy is
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Wherein, Ex(n) it is the weighted spectral entropy of current n-th signal, M is the number of Frequency point.
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| CN107910019A (en) * | 2017-11-30 | 2018-04-13 | 中国科学院微电子研究所 | A kind of human acoustical signal's processing and analysis method |
| CN110213694A (en) * | 2019-04-16 | 2019-09-06 | 浙江大华技术股份有限公司 | A kind of audio frequency apparatus and its processing method, the computer storage medium uttered long and high-pitched sounds |
| CN110444222A (en) * | 2019-05-17 | 2019-11-12 | 成都航天通信设备有限责任公司 | A kind of speech noise-reduction method based on comentropy weighting |
| CN110677796A (en) * | 2019-03-14 | 2020-01-10 | 深圳市攀高电子有限公司 | Audio signal processing method and hearing aid |
| CN113724725A (en) * | 2021-11-04 | 2021-11-30 | 北京百瑞互联技术有限公司 | Bluetooth audio squeal detection suppression method, device, medium and Bluetooth device |
| CN114724575A (en) * | 2022-06-09 | 2022-07-08 | 广州市保伦电子有限公司 | Howling detection method, device and system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107910019A (en) * | 2017-11-30 | 2018-04-13 | 中国科学院微电子研究所 | A kind of human acoustical signal's processing and analysis method |
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| CN113724725A (en) * | 2021-11-04 | 2021-11-30 | 北京百瑞互联技术有限公司 | Bluetooth audio squeal detection suppression method, device, medium and Bluetooth device |
| CN113724725B (en) * | 2021-11-04 | 2022-01-18 | 北京百瑞互联技术有限公司 | Bluetooth audio squeal detection suppression method, device, medium and Bluetooth device |
| CN114724575A (en) * | 2022-06-09 | 2022-07-08 | 广州市保伦电子有限公司 | Howling detection method, device and system |
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