CN110198374A - A kind of mobile phone speech noise-reduction method and device based on error correction learning rules - Google Patents
A kind of mobile phone speech noise-reduction method and device based on error correction learning rules Download PDFInfo
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- CN110198374A CN110198374A CN201910462684.XA CN201910462684A CN110198374A CN 110198374 A CN110198374 A CN 110198374A CN 201910462684 A CN201910462684 A CN 201910462684A CN 110198374 A CN110198374 A CN 110198374A
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- 230000007613 environmental effect Effects 0.000 claims abstract description 64
- 230000006854 communication Effects 0.000 claims abstract description 21
- 238000004891 communication Methods 0.000 claims abstract description 19
- 238000001228 spectrum Methods 0.000 claims description 12
- 238000012216 screening Methods 0.000 claims description 9
- 238000000605 extraction Methods 0.000 claims description 6
- 238000001914 filtration Methods 0.000 abstract description 2
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L21/00—Speech or voice signal processing techniques 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
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L21/00—Speech or voice signal processing techniques 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
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/02—Constructional features of telephone sets
- H04M1/19—Arrangements of transmitters, receivers, or complete sets to prevent eavesdropping, to attenuate local noise or to prevent undesired transmission; Mouthpieces or receivers specially adapted therefor
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
- H04M1/72454—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to context-related or environment-related conditions
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- Audiology, Speech & Language Pathology (AREA)
- Computational Linguistics (AREA)
- Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
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- Environmental & Geological Engineering (AREA)
- Computer Networks & Wireless Communication (AREA)
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Abstract
The invention discloses a kind of mobile phone speech noise-reduction methods and device based on error correction learning rules, and wherein method includes: raw tone when obtaining mobile phone communication；Acquire the environmental noise in raw tone；According to environmental noise matching and the approximate aid in noise of its noise characteristic；Aid in noise is coupled by sef-adapting filter with raw tone, to offset the environmental noise in raw tone.The present invention is by filtering out the aid in noise to match with environmental noise in call voice, aid in noise is coupled by sef-adapting filter with raw tone, to offset the environmental noise in raw tone, to achieve the purpose that improve signal-to-noise ratio, the clarity of voice communication is substantially increased.
Description
Technical field
The present invention relates to voice de-noising field, more specifically a kind of mobile phone speech noise reduction based on error correction learning rules
Method and device.
Background technique
Present requirement of the people to mobile phone is not only to be limited to hear other side that is said or talked about, and the voice for being desirable to hear is
More and more clearly, or even in the environment of having noise jamming, it is also desirable to which gem-pure can hearing other side, what is said or talked about.But
It is unsatisfactory to the processing of voice de-noising at present, especially in the case where there is noise jamming, it can not clearly export other side institute
Word, it is fuzzy so as to cause call voice, other side catch by content, cause user experience poor.
Summary of the invention
It is an object of the invention to overcome the deficiencies of the prior art and provide a kind of mobile phone speech based on error correction learning rules
Noise-reduction method and device.
To achieve the above object, the invention adopts the following technical scheme: a kind of mobile phone speech based on error correction learning rules
Noise-reduction method, comprising:
Obtain raw tone when mobile phone communication；
Acquire the environmental noise in raw tone；
According to environmental noise matching and the approximate aid in noise of its noise characteristic；
Aid in noise is coupled by sef-adapting filter with raw tone, to offset the environmental noise in raw tone.
Its further technical solution are as follows: the step according to environmental noise matching and the approximate aid in noise of its noise characteristic
Suddenly, specifically includes the following steps:
Extract the noise spectrum feature of environmental noise in a period of time；
Screening differs the smallest aid in noise with the noise spectrum feature of environmental noise.
Its further technical solution are as follows: the aid in noise is coupled by sef-adapting filter with raw tone, to offset
The step of environmental noise in raw tone, specifically includes the following steps:
Obtain the noise parameter that environmental noise changes over time；
The noise parameter that aid in noise is updated by sef-adapting filter joins the noise of its noise parameter and environmental noise
Number is adapted.
A kind of mobile phone speech denoising device based on error correction learning rules, described device include acquiring unit, acquisition unit,
Matching unit and offset unit；
The acquiring unit, for obtaining raw tone when mobile phone communication；
The acquisition unit, for acquiring the environmental noise in raw tone；
The matching unit, for according to environmental noise matching and the approximate aid in noise of its noise characteristic；
The offset unit is coupled for aid in noise by sef-adapting filter with raw tone, to offset original language
Environmental noise in sound.
Its further technical solution are as follows: the matching unit includes extraction module and screening module；
The extraction module, for extracting the noise spectrum feature of environmental noise in a period of time；
General's modeling block, differs the smallest aid in noise with the noise spectrum feature of environmental noise for screening.
Its further technical solution are as follows: the offset unit includes obtaining module and update module；
The acquisition module, the noise parameter changed over time for obtaining environmental noise；
The update module makes its noise parameter for updating the noise parameter of aid in noise by sef-adapting filter
It is adapted with the noise parameter of environmental noise.
Compared with the prior art, the invention has the advantages that: a kind of mobile phone speech based on error correction learning rules of the present invention
Noise-reduction method and device are passed through by filtering out the aid in noise to match with environmental noise in call voice, aid in noise
Sef-adapting filter is coupled with raw tone, to offset the environmental noise in raw tone, to reach the mesh for improving signal-to-noise ratio
, substantially increase the clarity of voice communication.
The above description is only an overview of the technical scheme of the present invention, can in order to better understand technical measure
It is implemented in accordance with the contents of the specification, and in order to make above and other objects of the present invention, feature and advantage brighter
Show understandable, special below to lift preferred embodiment, detailed description are as follows.
Detailed description of the invention
Fig. 1 is a kind of flow chart of the mobile phone speech noise-reduction method specific embodiment based on error correction learning rules of the present invention
One；
Fig. 2 is a kind of flow chart of the mobile phone speech noise-reduction method specific embodiment based on error correction learning rules of the present invention
Two；
Fig. 3 is a kind of flow chart of the mobile phone speech noise-reduction method specific embodiment based on error correction learning rules of the present invention
Three；
Fig. 4 is a kind of structure chart of the mobile phone speech denoising device specific embodiment based on error correction learning rules of the present invention
One；
Fig. 5 is a kind of structure chart of the mobile phone speech denoising device specific embodiment based on error correction learning rules of the present invention
Two；
Fig. 6 is a kind of structure chart of the mobile phone speech denoising device specific embodiment based on error correction learning rules of the present invention
Three；
Fig. 7 is noise adaptive cancellation schematic diagram in the specific embodiment of the invention；
Fig. 8 is the learning curve figure of sef-adapting filter in the specific embodiment of the invention；
Fig. 9 is the simulation result diagram for carrying out noise reduction in the specific embodiment of the invention to one end call voice.
Specific embodiment
In order to more fully understand technology contents of the invention, combined with specific embodiments below to technical solution of the present invention into
One step introduction and explanation, but not limited to this.
It should be appreciated that herein, relational terms such as first and second and the like are used merely to an entity/behaviour
Work/object is distinguished with another entity/operation/object, without necessarily requiring or implying these entity/operation/objects
Between there are any actual relationship or orders.
It is also understood that the terms "include", "comprise" or any other variant thereof is intended to cover non-exclusive inclusion,
So that the process, method, article or the system that include a series of elements not only include those elements, but also including not having
The other element being expressly recited, or further include for this process, method, article or the intrinsic element of system.Do not having
In the case where having more limitations, the element that is limited by sentence "including a ...", it is not excluded that include the element process,
There is also other identical elements in method, article or system.
As shown in Figure 1-3, the present invention provides a kind of mobile phone speech noise-reduction method based on error correction learning rules, this method
The following steps are included:
Raw tone when S10, acquisition mobile phone communication；
Environmental noise in S20, acquisition raw tone；
S30, it is matched and the approximate aid in noise of its noise characteristic according to environmental noise；
S40, aid in noise are coupled by sef-adapting filter with raw tone, are made an uproar with the environment offset in raw tone
Sound.
Further, step S30 specifically includes the following steps:
S301, the noise spectrum feature for extracting environmental noise in a period of time；
S302, screening differ the smallest aid in noise with the noise spectrum feature of environmental noise.
Further, step S40 specifically includes the following steps:
S401, the noise parameter that environmental noise changes over time is obtained；
S402, the noise parameter that aid in noise is updated by sef-adapting filter, make its noise parameter and environmental noise
Noise parameter is adapted.
Specifically, the noise that the present invention copes with is to be with actual scenes such as factory noise, the noise of people and automobile noises
Main object, generally meets following hypothesis: noise be additivity, local stationary, noise and speech sound statistics are independent or not phase
It closes.
As shown in fig. 7, s (n) be clean speech, v0 (n) be environmental noise, d (n) be noisy speech (clean speech and
The combination of environmental noise), v1 (n) is then aid in noise, and y (n) is then by sef-adapting filter treated aid in noise, e
It (n) is the useful voice of output.During mobile phone communication, clean speech is not only contained, but also there are also environmental noise, and ring
Border noise exactly influences an important factor for voice communication clarity, and environmental noise can not be eliminated directly, in order to solve this
Problem matches one and its approximate aid in noise according to the environmental noise, the limit of aid in noise and environmental noise on the contrary, because
This can be canceled each other out, to realize the useful voice of output.Due in communication process, environmental noise be it is continually changing, because
This needs to update variation of the aid in noise to adapt to ambient noise by sef-adapting filter.
As shown in figure 8, abscissa represents the voice communication time, ordinate indicates the useful voice and clean speech of output
Error, it can be seen that the voice communication time is longer, by the effect of sef-adapting filter so that the useful voice of output more connects
Nearly clean speech, and then reach call more and more clearly purpose.Fig. 9 be carry out noise reduction simulation result, with call when
Between it is longer, export that useful voice is more clear, and error is smaller.
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process
Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present invention constitutes any limit
It is fixed.
Corresponding to a kind of mobile phone speech noise-reduction method based on error correction learning rules of above-described embodiment, the present invention also provides
A kind of mobile phone speech denoising device based on error correction learning rules, as Figure 4-Figure 6, the device include acquiring unit 1, acquisition
Unit 2, matching unit 3 and offset unit 4；
Acquiring unit 1, for obtaining raw tone when mobile phone communication；
Acquisition unit 2, for acquiring the environmental noise in raw tone；
Matching unit 3, for according to environmental noise matching and the approximate aid in noise of its noise characteristic；
Offset unit 4 is coupled for aid in noise by sef-adapting filter with raw tone, to offset in raw tone
Environmental noise, and export clean speech.
Further, matching unit 3 includes extraction module 31 and screening module 32；
Extraction module, for extracting the noise spectrum feature of environmental noise in a period of time；
Handsome modeling block differs the smallest aid in noise with the noise spectrum feature of environmental noise for screening.
Further, offset unit 4 includes obtaining module 41 and update module 42；
Obtain module, the noise parameter changed over time for obtaining environmental noise；
Update module makes its noise parameter and ring for updating the noise parameter of aid in noise by sef-adapting filter
The noise parameter of border noise is adapted.
Specifically, the noise that the present invention copes with is to be with actual scenes such as factory noise, the noise of people and automobile noises
Main object, generally meets following hypothesis: noise be additivity, local stationary, noise and speech sound statistics are independent or not phase
It closes.
As shown in fig. 7, s (n) be clean speech, v0 (n) be environmental noise, d (n) be noisy speech (clean speech and
The combination of environmental noise), v1 (n) is then aid in noise, and y (n) is then by sef-adapting filter treated aid in noise, e
It (n) is the useful voice of output.During mobile phone communication, clean speech is not only contained, but also there are also environmental noise, and ring
Border noise exactly influences an important factor for voice communication clarity, and environmental noise can not be eliminated directly, in order to solve this
Problem matches one and its approximate aid in noise according to the environmental noise, the limit of aid in noise and environmental noise on the contrary, because
This can be canceled each other out, to realize the useful voice of output.Due in communication process, environmental noise be it is continually changing, because
This needs to update variation of the aid in noise to adapt to ambient noise by sef-adapting filter.
As shown in figure 8, abscissa represents the voice communication time, ordinate indicates the useful voice and clean speech of output
Error, it can be seen that the voice communication time is longer, by the effect of sef-adapting filter so that the useful voice of output more connects
Nearly clean speech, and then reach call more and more clearly purpose.Fig. 9 be carry out noise reduction simulation result diagram, from figure it is found that with
Call time it is longer, the useful voice of output is more clear, and error is smaller.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can store in a computer readable storage medium.Based on this understanding, the technical solution of the embodiment of the present invention
Substantially all or part of the part that contributes to existing technology or the technical solution can be with software product in other words
Form embody, which is stored in a storage medium, including some instructions use so that one
Computer equipment (can be personal computer, server or the network equipment etc.) or processor (processor) execute this hair
The all or part of the steps of each embodiment the method in bright.And storage medium above-mentioned include: USB flash disk, it is mobile hard disk, read-only
Memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or
The various media that can store program code such as person's CD.
It is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each function
Can unit, module division progress for example, in practical application, can according to need and by above-mentioned function distribution by different
Functional unit, module are completed, i.e., the internal structure of described device is divided into different functional unit or module, more than completing
The all or part of function of description.Each functional unit in embodiment, module can integrate in one processing unit, can also
To be that each unit physically exists alone, can also be integrated in one unit with two or more units, it is above-mentioned integrated
Unit both can take the form of hardware realization, can also realize in the form of software functional units.In addition, each function list
Member, the specific name of module are also only for convenience of distinguishing each other, the protection scope being not intended to limit this application.Above-mentioned apparatus
The specific work process of middle unit, module, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
Those of ordinary skill in the art may be aware that list described in conjunction with the examples disclosed in the embodiments of the present disclosure
Member and algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually
It is implemented in hardware or software, the specific application and design constraint depending on technical solution.Professional technician
Each specific application can be used different methods to achieve the described function, but this realization is it is not considered that exceed
The scope of the present invention.
In embodiment provided by the present invention, it should be understood that disclosed device and method can pass through others
Mode is realized.For example, the apparatus embodiments described above are merely exemplary, for example, the division of the module or unit,
Only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units or components can be with
In conjunction with or be desirably integrated into another device, or some features can be ignored or not executed.Another point, it is shown or discussed
Mutual coupling or direct-coupling or communication connection can be through some interfaces, the INDIRECT COUPLING of device or unit or
Communication connection can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
It is above-mentioned that technology contents of the invention are only further illustrated with embodiment, in order to which reader is easier to understand, but not
It represents embodiments of the present invention and is only limitted to this, any technology done according to the present invention extends or recreation, by of the invention
Protection.Protection scope of the present invention is subject to claims.
Claims (6)
1. a kind of mobile phone speech noise-reduction method based on error correction learning rules characterized by comprising
Obtain raw tone when mobile phone communication；
Acquire the environmental noise in raw tone；
According to environmental noise matching and the approximate aid in noise of its noise characteristic；
Aid in noise is coupled by sef-adapting filter with raw tone, to offset the environmental noise in raw tone.
2. a kind of mobile phone speech noise-reduction method based on error correction learning rules according to claim 1, which is characterized in that institute
The step of stating aid in noise approximate with its noise characteristic according to environmental noise matching, specifically includes the following steps:
Extract the noise spectrum feature of environmental noise in a period of time；
Screening differs the smallest aid in noise with the noise spectrum feature of environmental noise.
3. a kind of mobile phone speech noise-reduction method based on error correction learning rules according to claim 1, which is characterized in that institute
It states aid in noise and is coupled with raw tone by sef-adapting filter, the step of to offset the environmental noise in raw tone, had
Body the following steps are included:
Obtain the noise parameter that environmental noise changes over time；
The noise parameter that aid in noise is updated by sef-adapting filter, makes noise parameter phase of its noise parameter with environmental noise
It adapts to.
4. a kind of mobile phone speech denoising device based on error correction learning rules, which is characterized in that described device include acquiring unit,
Acquisition unit, matching unit and offset unit；
The acquiring unit, for obtaining raw tone when mobile phone communication；
The acquisition unit, for acquiring the environmental noise in raw tone；
The matching unit, for according to environmental noise matching and the approximate aid in noise of its noise characteristic；
The offset unit is coupled for aid in noise by sef-adapting filter with raw tone, to offset in raw tone
Environmental noise.
5. a kind of mobile phone speech denoising device based on error correction learning rules according to claim 4, which is characterized in that institute
Stating matching unit includes extraction module and screening module；
The extraction module, for extracting the noise spectrum feature of environmental noise in a period of time；
General's modeling block, differs the smallest aid in noise with the noise spectrum feature of environmental noise for screening.
6. a kind of mobile phone speech denoising device based on error correction learning rules according to claim 4, which is characterized in that institute
Stating offset unit includes obtaining module and update module；
The acquisition module, the noise parameter changed over time for obtaining environmental noise；
The update module makes its noise parameter and ring for updating the noise parameter of aid in noise by sef-adapting filter
The noise parameter of border noise is adapted.
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| CN101853667A (en) * | 2010-05-25 | 2010-10-06 | 无锡中星微电子有限公司 | Voice noise reduction device |
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