CN107786709A - Call noise-reduction method, device, terminal device and computer-readable recording medium - Google Patents
Call noise-reduction method, device, terminal device and computer-readable recording medium Download PDFInfo
- Publication number
- CN107786709A CN107786709A CN201711098921.6A CN201711098921A CN107786709A CN 107786709 A CN107786709 A CN 107786709A CN 201711098921 A CN201711098921 A CN 201711098921A CN 107786709 A CN107786709 A CN 107786709A
- Authority
- CN
- China
- Prior art keywords
- noise
- voice signal
- spectrum
- belonging
- call
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 43
- 238000001228 spectrum Methods 0.000 claims abstract description 290
- 238000011946 reduction process Methods 0.000 claims abstract description 68
- 230000009467 reduction Effects 0.000 claims description 51
- 230000015654 memory Effects 0.000 claims description 20
- 238000003860 storage Methods 0.000 claims description 13
- 238000004590 computer program Methods 0.000 claims description 7
- 238000004364 calculation method Methods 0.000 claims 1
- 238000004891 communication Methods 0.000 description 11
- 230000006870 function Effects 0.000 description 10
- 238000005516 engineering process Methods 0.000 description 8
- 230000002093 peripheral effect Effects 0.000 description 5
- 230000001629 suppression Effects 0.000 description 4
- 230000009885 systemic effect Effects 0.000 description 4
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000010295 mobile communication Methods 0.000 description 3
- 230000009471 action Effects 0.000 description 2
- 230000008878 coupling Effects 0.000 description 2
- 230000007423 decrease Effects 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 230000002708 enhancing effect Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000000630 rising effect Effects 0.000 description 2
- 230000005236 sound signal Effects 0.000 description 2
- 238000005728 strengthening Methods 0.000 description 2
- 208000027418 Wounds and injury Diseases 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000006378 damage Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 210000004209 hair Anatomy 0.000 description 1
- 208000014674 injury Diseases 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 230000000149 penetrating effect Effects 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 229920000642 polymer Polymers 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
Classifications
-
- 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
-
- 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
- G10L21/0232—Processing in the frequency domain
Landscapes
- Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Computational Linguistics (AREA)
- Quality & Reliability (AREA)
- Health & Medical Sciences (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
- Multimedia (AREA)
- Soundproofing, Sound Blocking, And Sound Damping (AREA)
Abstract
The embodiment of the invention discloses one kind call noise-reduction method, device, terminal device and computer-readable recording medium, this method to include:Obtain the call voice signal that the microphone of local terminal collects, spectrum signature parsing is carried out to call voice signal, obtain the spectrum signature that call voice signal includes, determine in the spectrum signature that call voice signal includes, with the presence or absence of the target spectrum feature for belonging to nonstationary noise, if target spectrum feature be present, noise reduction process then is carried out to the nonstationary noise belonging to target spectrum feature in call voice signal, allow to by way of identifying the nonstationary noise in call voice signal selectivity carries out noise reduction process to the nonstationary noise, without carrying out noise reduction process to whole call voice signal, the voice of caller is protected not to be destroyed, improve the quality of call.
Description
Technical field
The present invention relates to communication technical field, more particularly to a kind of call noise-reduction method, device, terminal device and computer
Readable storage medium storing program for executing.
Background technology
Bring one of development of society than it is more serious the problem of be noise problem, communicated in noise circumstance, meeting
The definition of communication speech is had influence on, especially the high-energy unstable state such as is blown a whistle similar to vehicle when being introduced in call voice signal
When noise, the ear-piercing sound of opposite end caller's uppick can be caused, communication quality is had a strong impact on and the hearing to people produces
Injury.For carrying out communication issue in noise circumstance, existing solution is noise (such as white noise for suppressing stable state mostly
Sound), for nonstationary noise, nonstationary noise can be suppressed by the method for adaptive-filtering, but the energy of nonstationary noise
Measure it is unstable, it is necessary to strengthen the suppression to nonstationary noise when the energy of nonstationary noise is too high, enhancing suppress can pair
Whole call voice signal is suppressed, and so as to weaken the voice of caller, instead results in speech quality reduction.
Therefore, can be to whole call voice signal in the prior art there is when suppression of the enhancing to nonstationary noise
Suppressed, so as to which the voice of caller can be weakened, instead result in speech quality reduction.
The content of the invention
The main purpose of the embodiment of the present invention is to provide a kind of call noise-reduction method, device, terminal device and computer
Readable storage medium storing program for executing, solve present in prior art when strengthening the suppression to nonstationary noise, can be to whole call voice
Signal is suppressed, and so as to weaken the voice of caller, instead results in the technical problem of speech quality reduction.
To achieve the above object, first aspect of the embodiment of the present invention provides a kind of call noise-reduction method, and methods described includes:
Obtain the call voice signal that the microphone of local terminal collects;
Spectrum signature parsing is carried out to the call voice signal, it is special to obtain the frequency spectrum that the call voice signal includes
Sign;
Determine in the spectrum signature that the call voice signal includes, if the target spectrum for belonging to nonstationary noise be present
Feature, if the target spectrum feature be present, to non-steady belonging to target spectrum feature described in the call voice signal
State noise carries out noise reduction process.
To achieve the above object, second aspect of the embodiment of the present invention provides a kind of call denoising device, and described device includes:
Acquisition module, the call voice signal that the microphone for obtaining local terminal collects;
Parsing module, for carrying out spectrum signature parsing to the call voice signal, obtain the call voice signal
Comprising spectrum signature;
Noise reduction module is determined, in the spectrum signature included for determining the call voice signal, if exist and belong to non-
The target spectrum feature of steady-state noise, if the target spectrum feature be present, to target described in the call voice signal
Nonstationary noise belonging to spectrum signature carries out noise reduction process.
To achieve the above object, the third aspect of the embodiment of the present invention provides a kind of terminal device, including:Memory, processing
Device and storage are on a memory and the computer program that can run on a processor, it is characterised in that the computing device institute
When stating computer program, each step in the call noise-reduction method described in first aspect is realized.
To achieve the above object, fourth aspect of the embodiment of the present invention provides a kind of computer-readable recording medium, deposits thereon
Contain computer program, it is characterised in that when the computer program is executed by processor, realize the call described in first aspect
Each step in noise-reduction method.
The embodiment of the present invention provides a kind of call noise-reduction method, and this method includes:What the microphone of acquisition local terminal collected
Call voice signal, spectrum signature parsing is carried out to call voice signal, obtains the spectrum signature that call voice signal includes, really
Determine in the spectrum signature that call voice signal includes, if the target spectrum feature for belonging to nonstationary noise be present, if mesh be present
Spectrum signature is marked, then noise reduction process is carried out to the nonstationary noise belonging to target spectrum feature in call voice signal.With it is existing
Technology is compared, however, it is determined that the target spectrum feature for belonging to nonstationary noise in the spectrum signature that call voice signal includes be present,
Noise reduction process then is carried out to the nonstationary noise belonging to the target spectrum feature so that can be by identifying in call voice signal
Nonstationary noise mode selectivity to the nonstationary noise carry out noise reduction process, without to whole call voice believe
Number carry out noise reduction process, protect the voice of caller not to be destroyed, improve the quality of call.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those skilled in the art, on the premise of not paying creative work, can also basis
These accompanying drawings obtain other accompanying drawings.
Fig. 1 is a kind of structured flowchart of terminal device;
Fig. 2 is the schematic flow sheet for the call noise-reduction method that first embodiment of the invention provides;
Fig. 3 is the schematic flow sheet for the call noise-reduction method that second embodiment of the invention provides;
Fig. 4 is the schematic flow sheet of the refinement step of the step 305 in embodiment illustrated in fig. 3;
Fig. 5 is the schematic flow sheet for the call noise-reduction method that third embodiment of the invention provides;
Fig. 6 is the structural representation for the call denoising device that fourth embodiment of the invention provides;
Fig. 7 is the structural representation for the call denoising device that fifth embodiment of the invention provides;
Fig. 8 is the refinement structural representation of the first noise reduction module 703 in embodiment illustrated in fig. 7;
Fig. 9 is the structural representation for the call denoising device that sixth embodiment of the invention provides.
Embodiment
To enable goal of the invention, feature, the advantage of the present invention more obvious and understandable, below in conjunction with the present invention
Accompanying drawing in embodiment, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described reality
It is only part of the embodiment of the present invention to apply example, and not all embodiments.Based on the embodiment in the present invention, people in the art
The every other embodiment that member is obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.
Fig. 1 shows a kind of structured flowchart of terminal device.Call noise-reduction method provided in an embodiment of the present invention can be applied
In terminal device 10 as shown in Figure 1, terminal device 10 can be, but not limited to include:Need to rely on battery maintain normal operation and
Support network and the smart mobile phone of download function, notebook, tablet personal computer, wearing smart machine etc..
As shown in figure 1, terminal device 10 includes memory 101, storage control 102, one or more (is only shown in figure
One) processor 103, Peripheral Interface 104, radio-frequency module 105, key-press module 106, audio-frequency module 107 and Touch Screen
108.These components are mutually communicated by one or more communication bus/signal wire 109.
It is appreciated that the structure shown in Fig. 1 is only to illustrate, it does not cause to limit to the structure of terminal device.Terminal is set
Standby 10 may also include more either less components than shown in Fig. 1 or have the configuration different from shown in Fig. 1.Shown in Fig. 1
Each component can use hardware, software or its combination to realize.
Memory 101 can be used for storage software program and module, such as the call noise-reduction method in the embodiment of the present invention and
Programmed instruction/module corresponding to terminal device, processor 103 by operation be stored in software program in memory 101 and
Module, so as to perform various function application and data processing, that is, realize above-mentioned call noise-reduction method.
Memory 101 may include high speed random access memory, may also include nonvolatile memory, such as one or more magnetic
Property storage device, flash memory or other non-volatile solid state memories.In some instances, memory 101 can further comprise
Relative to the remotely located memory of processor 103, these remote memories can pass through network connection to terminal device 10.On
The example for stating network includes but is not limited to internet, intranet, LAN, mobile radio communication and combinations thereof.Processor 103
And access of other possible components to memory 101 can be carried out under the control of storage control 102.
Various input/output devices are coupled to CPU and memory 101 by Peripheral Interface 104.The operation of processor 103 is deposited
Various softwares in reservoir 101, instruction are to perform the various functions of terminal device 10 and carry out data processing.
In certain embodiments, Peripheral Interface 104, processor 103 and storage control 102 can be in one single chips
Realize.In some other example, they can be realized by independent chip respectively.
Radio-frequency module 105 is used to receiving and sending electromagnetic wave, realizes the mutual conversion of electromagnetic wave and electric signal, so that with
Communication network or other equipment are communicated.Radio-frequency module 105 may include the various existing electricity for being used to perform these functions
Circuit component, for example, antenna, RF transceiver, digital signal processor, encryption/deciphering chip, subscriber identity module (SIM) card,
Memory etc..Radio-frequency module 105 can be with the wireless network progress of various networks such as internet, intranet, preset type
Communication is communicated by the wireless network of preset type with other equipment.The wireless network of above-mentioned preset type can wrap
Include cellular telephone networks, WLAN or Metropolitan Area Network (MAN).The wireless network of above-mentioned preset type can use various communications
Standard, agreement and technology, including but not limited to global system for mobile communications (Global System for Mobile
Communication, GSM), enhanced mobile communication technology (Enhanced Data GSM Environment, EDGE) is wide
Band CDMA (Wideband Code Division Multiple Access, W-CDMA), CDMA
(Code Division Access, CDMA), TDMA (Time Division Multiple Access, TDMA),
Bluetooth, adopting wireless fidelity technology (Wireless-Fidelity, WiFi) (such as American Institute of Electrical and Electronics Engineers's standard IEEE
802.11a, IEEE 802.11b, IEEE802.11g and/or IEEE 802.11n), the networking telephone (Voice over
Internet Protocal, VoIP), worldwide interoperability for microwave accesses (Worldwide Interoperability for
Microwave Access, Wi-Max), other are used for the agreement of mail, instant messaging and short message, and any other is suitable
Communications protocol.
Key-press module 106 provides the interface that is inputted to terminal device of user, user can by press it is different by
Key is so that terminal device 10 performs different functions.
Audio-frequency module 107 provides a user COBBAIF, and it may include one or more microphones, one or more raises
Sound device and voicefrequency circuit.Microphone is used for after call connection is established, and gathers the call voice signal of local terminal.Voicefrequency circuit from
Voice data is received at Peripheral Interface 104, voice data is converted into power information, power information is transmitted to loudspeaker.Loudspeaker
Power information is converted into the sound wave that human ear can hear.Voicefrequency circuit receives power information also at microphone, converts electrical signals to
Voice data, and by data transmission in network telephony into Peripheral Interface 104 to be further processed.Voice data can be from storage
Obtained at device 101 or by radio-frequency module 105.In addition, voice data can also store into memory 101 or by penetrating
Frequency module 105 is transmitted.In some instances, audio-frequency module 107 may also include an earphone and broadcast hole, for earphone or
Other equipment provides COBBAIF.
Touch Screen 108 provides an output and inputting interface simultaneously between terminal device and user.Specifically, touch-control
Screen 108 shows video frequency output to user, and the contents of these video frequency outputs may include word, figure, video and its any group
Close.Some output results correspond to some user interface objects.Touch Screen 108 also receives the input of user, such as user
Click, the gesture operation such as slip, so that input of the user interface object to these users responds.Detect user's input
Technology can be based on resistance-type, condenser type or other any possible touch control detection technologies.The display unit of Touch Screen 108
Instantiation include but is not limited to liquid crystal display or light emitting polymer displays.
Noise-reduction method of being conversed in the embodiment of the present invention is described based on above-mentioned terminal device.
Due to that in the prior art, when strengthening the suppression to nonstationary noise, can press down to whole call voice signal
System, so as to which the voice of caller can be weakened, instead result in the technical problem of speech quality reduction.
In order to solve the above problems, the present invention proposes a kind of call noise-reduction method, however, it is determined that call voice signal includes
The target spectrum feature for belonging to nonstationary noise in spectrum signature be present, then to the nonstationary noise belonging to the target spectrum feature
Carry out noise reduction process so that can by way of identifying the nonstationary noise in call voice signal selectivity it is non-steady to this
State noise carries out noise reduction process, without carrying out noise reduction process to whole call voice signal, protects the voice of caller not
It is destroyed, improve the quality of call.
In embodiments of the present invention, nonstationary noise refer to energy can exponentially type rise noise, and noise intensity with
Time and fluctuate, some is in periodic noise, such as hammer, some is in irregular fluctuation noise, such as traffic noise.It is non-
Steady-state noise has obvious feature relative to other noises (such as steady-state noise) on frequency spectrum, for example, amplitude can be in short-term
Interior rapid growth, and it is far longer than the amplitude thresholds that human ear feels comfortably cool.Spectrum signature based on nonstationary noise, Neng Gouyou
The differentiation nonstationary noise and steady-state noise of effect, the technical scheme in the embodiment of the present invention is to be proposed based on the point, below
It will be discussed in detail.
Referring to Fig. 2, be a kind of schematic flow sheet for noise-reduction method of conversing in first embodiment of the invention, including:
Step 201, obtain the call voice signal that the microphone of local terminal collects;
In embodiments of the present invention, after establishing and conversing, microphone gathers the call voice signal of local terminal in real time, and local terminal
Processor then can obtain the call voice signal that collects in real time of a microphone every preset duration.
Wherein, call establishes the terminal device of the terminal device for representing local terminal and opposite end in an ON state, Ke Yijin
Row call, wherein, the terminal device of local terminal has and the call voice signal that collected can be performed in the embodiment of the present invention
The function of call noise-reduction method, the terminal device include but is not limited to mobile terminal, intelligent watch, vehicle-mounted Bluetooth equipment etc..
Wherein, above-mentioned preset duration can be that systemic presupposition or user are set in advance, for example, this is default
Duration can be 0.5 second, 1 second etc., and user can be configured according to the actual requirements.
It should be noted that the processor in local terminal obtains the call that collects in real time of a microphone every preset duration
After voice signal, regardless of whether carrying out noise reduction process to the call voice signal, it is required for call voice signal being sent to pair
Hold (if having carried out noise reduction process to the call voice signal, what is sent is the call voice signal after noise reduction process), be
There is discontinuous phenomenon in the call voice signal for avoiding opposite end from receiving, and above-mentioned preset duration should be arranged to one will not
The duration for the call voice signal that opposite end receives is influenceed, can be carried out in actual applications according to the specific performance of terminal device
Set, do not limit herein.
Step 202, spectrum signature parsing is carried out to the call voice signal, obtain what the call voice signal included
Spectrum signature;
In embodiments of the present invention, spectrum signature parsing is carried out to the call voice signal for containing muli-sounds, can be with
Obtain spectrum signature corresponding to every kind of sound.
Wherein, spectrum signature is the main physical parameters of sound, and the spectrum signature of sound can be shown with electro-kinetic instrument, frequency
Spectrum signature is the sound wave spectrum for the carrying information that can be watched when being shown with electro-kinetic instrument, and the frequency spectrum of each sound is special
Sign is all differed, and different sound can be distinguished by the spectrum signature of sound.
Step 203, determine in the spectrum signature that the call voice signal includes, if exist and belong to nonstationary noise
Target spectrum feature, if the target spectrum feature be present, to target spectrum feature institute described in the call voice signal
The nonstationary noise of category carries out noise reduction process.
In embodiments of the present invention, nonstationary noise referred within observing time, and sound level fluctuates larger noise, and this is non-
The amplitude of sound when the amplitude of steady-state noise is spoken far above people.Wherein, the nonstationary noise includes energy exponentially in type
Noise risen etc..
In embodiments of the present invention, however, it is determined that in the spectrum signature that the call voice of local terminal includes, exist and belong to unstable state
The target spectrum feature of noise, then it can determine nonstationary noise in the call voice of local terminal be present, and to target spectrum feature
Affiliated nonstationary noise carries out noise reduction process.
In embodiments of the present invention, the call voice signal that the microphone of local terminal collects is obtained, to call voice signal
Spectrum signature parsing is carried out, obtains the spectrum signature that call voice signal includes, determines that the frequency spectrum that call voice signal includes is special
In sign, if the target spectrum feature for belonging to nonstationary noise be present, if target spectrum feature be present, to call voice signal
Nonstationary noise belonging to middle target spectrum feature carries out noise reduction process.Compared with prior art, however, it is determined that call voice signal
Comprising spectrum signature in exist and belong to the target spectrum feature of nonstationary noise, then to non-steady belonging to the target spectrum feature
State noise carry out noise reduction process so that can by way of identifying the nonstationary noise in call voice signal selectivity pair
The nonstationary noise carries out noise reduction process, without carrying out noise reduction process to whole call voice signal, protects caller's
Voice is not destroyed, and improves the quality of call.
Referring to Fig. 3, be a kind of schematic flow sheet for noise-reduction method of conversing in second embodiment of the invention, including:
Step 301, obtain the call voice signal that the microphone of local terminal collects;
Step 302, spectrum signature parsing is carried out to the call voice signal, obtain what the call voice signal included
Spectrum signature;
In embodiments of the present invention, in above-mentioned steps 301 and step 302 describe content and first embodiment of the invention
The content that step 201 and step 202 describe is consistent, is not repeated here herein.
Step 303, the spectrum signature that the call voice signal is included and preset spectrum signature ATL progress
Match somebody with somebody, the spectrum signature ATL includes the noise spectrum feature templates for the nonstationary noise for needing to carry out noise reduction process;
In embodiments of the present invention, spectrum signature ATL is prefixed in terminal device, the spectrum signature ATL is to be
To unite default, the spectrum signature ATL includes the noise spectrum feature templates for the nonstationary noise for needing to carry out noise reduction process,
Because the energy of each nonstationary noise distribution trend that exponentially type is distributed is different, need to set multiple noises
Spectrum signature template.Specifically set-up mode is:During Default Value, the noise spectrum that nonstationary noise is preserved in terminal device is special
Levy template.
In embodiments of the present invention, the spectrum signature that above-mentioned call voice signal includes is referred in the call voice signal
Spectrum signature corresponding to all sound, the spectrum signature that the call voice signal is included successively with spectrum signature ATL
Each noise spectrum feature templates is matched, to determine in spectrum signature that call voice signal includes, if exist with
The spectrum signature of any noise spectrum feature templates matching in spectrum signature ATL, to determine to be in above-mentioned call voice signal
It is no to include nonstationary noise.
If in the spectrum signature that step 304, the call voice signal include, exist with the spectrum signature ATL
The matching of any noise spectrum feature templates spectrum signature, then it is special the spectrum signature of matching to be defined as the target spectrum
Sign;
Step 305, noise reduction is carried out to the nonstationary noise belonging to target spectrum feature described in the call voice signal
Processing.
In embodiments of the present invention, if in the spectrum signature that the call voice signal includes, exist and spectrum signature template
The spectrum signature of any noise spectrum feature templates matching in storehouse, then be defined as target spectrum spy by the spectrum signature of matching
Sign, the target spectrum feature is the spectrum signature for needing to carry out the nonstationary noise of noise reduction process, to the target spectrum feature
Affiliated nonstationary noise carries out noise reduction process.
In embodiments of the present invention, the preset spectrum signature ATL in terminal device, because above-mentioned spectrum signature template
Storehouse includes the noise spectrum feature templates for the nonstationary noise for needing to carry out noise reduction process, then by by above-mentioned call voice signal
Comprising spectrum signature matched with preset spectrum signature ATL, it may be determined that in the call voice signal of local terminal whether
The target spectrum feature for the nonstationary noise for needing to carry out noise reduction process is included, if comprising to belonging to the target spectrum feature
Nonstationary noise carry out noise reduction process so that can be selected by way of identifying the nonstationary noise in call voice signal
Property noise reduction process is carried out to the nonstationary noise, without carrying out noise reduction process to whole call voice signal, protection is logical
The voice of words person is not destroyed, and improves the quality of call.
Referring to Fig. 4, the schematic flow sheet of the refinement step for the step 305 in embodiment illustrated in fig. 3, including:
Step 401, determine language of the nonstationary noise in the call voice signal belonging to the target spectrum feature
Sound amplitude;
In embodiments of the present invention, the target spectrum is characterized in the sound wave spectrum for carrying information, using terminal device to sound
Wave frequency spectrum is analyzed, it may be determined that voice width of the nonstationary noise in call voice signal belonging to the target spectrum feature
Value.
Step 402, the voice amplitude to the nonstationary noise belonging to the target spectrum feature carry out noise reduction process.
In embodiments of the present invention, the noise reduction capability of each terminal device is limited, so in Default Value
When will preset a system noise reduction limiting value, the system noise reduction limiting value represent nonstationary noise amplitude decline maximum
Degree.Therefore, the specific implementation of noise reduction process is carried out to the voice amplitude of the nonstationary noise belonging to above-mentioned target spectrum feature
Process is:The voice amplitude of nonstationary noise belonging to above-mentioned target spectrum feature is subtracted into default system noise reduction limiting value,
Target voice amplitude can be obtained, is the target language by the voice range-adjusting of the nonstationary noise belonging to the target spectrum feature
Sound amplitude.For example, default system noise reduction limiting value is 100db, if the voice of the nonstationary noise belonging to target spectrum feature
Amplitude is 200db, then can be 100db by the voice range-adjusting of the nonstationary noise belonging to target spectrum feature;If target
The voice amplitude of nonstationary noise belonging to spectrum signature is 150db, then the unstable state belonging to target spectrum feature can be made an uproar
The voice range-adjusting of sound is 50db.
It should be noted that because the nonstationary noise in the embodiment of the present invention is a kind of high-energy and energy exponentially type
The noise of rising, so the voice amplitude of the nonstationary noise belonging to the target spectrum feature is subtracted into system noise reduction limiting value
Afterwards, its difference is necessarily greater than 0.
In embodiments of the present invention, it is determined that the nonstationary noise belonging to the target spectrum feature is believed in above-mentioned call voice
After voice amplitude in number, the voice amplitude of the nonstationary noise belonging to above-mentioned target spectrum feature is subtracted into default system and dropped
Make an uproar limiting value, target voice amplitude can be obtained, by the voice range-adjusting of the nonstationary noise belonging to the target spectrum feature
For the target voice amplitude, maximization noise reduction process can be carried out to the nonstationary noise belonging to target spectrum feature, do not damaged
While the sound of the caller of evil local terminal, the amplitude of nonstationary noise is reduced, ensure that speech quality.
Referring to Fig. 5, be a kind of schematic flow sheet for noise-reduction method of conversing in third embodiment of the invention, including:
Step 501, obtain the call voice signal that the microphone of local terminal collects;
Step 502, spectrum signature parsing is carried out to the call voice signal, obtain what the call voice signal included
Spectrum signature;
Step 503, determine in the spectrum signature that the call voice signal includes, if exist and belong to nonstationary noise
Target spectrum feature, if the target spectrum feature be present, to target spectrum feature institute described in the call voice signal
The nonstationary noise of category carries out noise reduction process;
In embodiments of the present invention, above-mentioned steps 501, step 502 and step 503 and the step in first embodiment of the invention
Rapid 201, the content that step 202 and step 203 describe is consistent, is not repeated here herein.
Step 504, using preset frequency decay parameter to belonging to the target spectrum feature nonstationary noise carry out
Frequency decay processing.
Because frequency values can influence tone color, frequency is higher, and tone color is sharper, easily makes one to produce sense of fatigue acoustically, examines
Consider nonstationary noise and the too high feature of frequency be present, therefore in order to avoid nonstationary noise makes one to produce fatigue acoustically
Sense to nonstationary noise, it is necessary to further carry out frequency decay processing.
In embodiments of the present invention, it is determined that in the spectrum signature that above-mentioned call voice signal includes, exist and belong to non-steady
After the target spectrum feature of state noise, using preset frequency decay parameter to the nonstationary noise belonging to the target spectrum feature
Carry out frequency decay processing so that tone color becomes gentle.Concrete processing procedure is:Target spectrum feature is determined using terminal device
Frequency of the sound wave spectrum at each time point, the frequency at each above-mentioned time point divided by preset frequency decay are joined
Number, obtains the nonstationary noise after frequency decay.
Wherein, the frequency decay parameter is systemic presupposition, and the frequency decay parameter show also the frequency reducing of terminal device
The limiting value of ability.
It should be noted that above-mentioned steps 504 can carry out noise reduction to the nonstationary noise belonging to target spectrum feature
Performed before processing, the nonstationary noise belonging to target spectrum feature can also carried out to perform after noise reduction process.
In embodiments of the present invention, by being carried out to the nonstationary noise belonging to the target spectrum feature at frequency decay
Reason, reduce the frequency of the nonstationary noise belonging to the target spectrum feature so that tone color becomes gentle, avoids people from producing acoustically
Sense of fatigue, improve Consumer's Experience.
Referring to Fig. 6, be a kind of structural representation for denoising device of conversing in fourth embodiment of the invention, including:
Acquisition module 601, the call voice signal that the microphone for obtaining local terminal collects;
In embodiments of the present invention, after call is established, microphone gathers the call voice signal of local terminal in real time, and obtains
Module 601 then can be every the call voice signal that a preset duration microphone of acquisition collects in real time.
Wherein, call establishes the terminal device of the terminal device for representing local terminal and opposite end in an ON state, Ke Yijin
Row call, wherein, the terminal device of local terminal has and the call voice signal that collected can be performed in the embodiment of the present invention
The function of call noise-reduction method, the terminal device include but is not limited to mobile terminal, intelligent watch, vehicle-mounted Bluetooth equipment etc..
Wherein, above-mentioned preset duration can be that systemic presupposition or user are set in advance, for example, this is default
Duration can be 0.5 second, 1 second etc., and user can be configured according to the actual requirements.
It should be noted that the processor in local terminal obtains the call that collects in real time of a microphone every preset duration
After voice signal, regardless of whether carrying out noise reduction process to the call voice signal, it is required for call voice signal being sent to pair
Hold (if having carried out noise reduction process to the call voice signal, what is sent is the call voice signal after noise reduction process), be
There is discontinuous phenomenon in the call voice signal for avoiding opposite end from receiving, and above-mentioned preset duration should be arranged to one will not
The duration for the call voice signal that opposite end receives is influenceed, can be carried out in actual applications according to the specific performance of terminal device
Set, do not limit herein.
Parsing module 602, for carrying out spectrum signature parsing to the call voice signal, obtain the call voice letter
Number spectrum signature included;
In embodiments of the present invention, it is special to carry out frequency spectrum to the call voice signal for containing muli-sounds for parsing module 602
Sign parsing, can obtain spectrum signature corresponding to every kind of sound.
Wherein, spectrum signature is the main physical parameters of sound, and the spectrum signature of sound can be shown with electro-kinetic instrument, frequency
Spectrum signature is the sound wave spectrum for the carrying information that can be watched when being shown with electro-kinetic instrument, and the frequency spectrum of each sound is special
Sign is all differed, and different sound can be distinguished by the spectrum signature of sound.
Noise reduction module 603 is determined, in the spectrum signature included for determining the call voice signal, if exist and belong to
The target spectrum feature of nonstationary noise, if the target spectrum feature be present, to mesh described in the call voice signal
Mark the nonstationary noise belonging to spectrum signature and carry out noise reduction process.
In embodiments of the present invention, nonstationary noise referred within observing time, and sound level fluctuates larger noise, and this is non-
The amplitude of sound when the amplitude of steady-state noise is spoken far above people.Wherein, the nonstationary noise includes energy exponentially in type
Noise risen etc..
In embodiments of the present invention, however, it is determined that in the spectrum signature that the call voice of the determination local terminal of noise reduction module 603 includes,
In the presence of the target spectrum feature for belonging to nonstationary noise, then it can determine nonstationary noise in the call voice of local terminal be present, really
Determine noise reduction module 603 and noise reduction process is carried out to the nonstationary noise belonging to target spectrum feature.
In embodiments of the present invention, acquisition module 601 obtains the call voice signal that the microphone of local terminal collects, parsing
Module 602 carries out spectrum signature parsing to call voice signal, obtains the spectrum signature that call voice signal includes, determines noise reduction
Module 603 is determined in the spectrum signature that call voice signal includes, if the target spectrum feature for belonging to nonstationary noise be present,
If target spectrum feature be present, determine that noise reduction module 603 is made an uproar to the unstable state belonging to target spectrum feature in call voice signal
Sound carries out noise reduction process.Compared with prior art, however, it is determined that exist in the spectrum signature that call voice signal includes and belong to non-steady
The target spectrum feature of state noise, it is determined that noise reduction module 603 drops to the nonstationary noise belonging to the target spectrum feature
Make an uproar processing so that can by way of identifying the nonstationary noise in call voice signal selectivity to the nonstationary noise
Noise reduction process is carried out, without carrying out noise reduction process to whole call voice signal, protects the voice of caller not to be destroyed,
Improve the quality of call.
Referring to Fig. 7, be a kind of structural representation for denoising device of conversing in fifth embodiment of the invention, including:
Acquisition module 601, the call voice signal that the microphone for obtaining local terminal collects;
Parsing module 602, for carrying out spectrum signature parsing to the call voice signal, obtain the call voice letter
Number spectrum signature included;
In embodiments of the present invention, the content of above-mentioned acquisition module 601 and parsing module 602 description and the present invention the 4th are real
It is consistent to apply the content that the acquisition module 601 in example and parsing module 602 describe, is not repeated here herein.
Matching module 701, for spectrum signature and the preset spectrum signature template for including the call voice signal
Storehouse is matched, and the spectrum signature ATL includes the noise spectrum character modules for the nonstationary noise for needing to carry out noise reduction process
Plate;
In embodiments of the present invention, spectrum signature ATL is prefixed in terminal device, the spectrum signature ATL is to be
To unite default, the spectrum signature ATL includes the noise spectrum feature templates for the nonstationary noise for needing to carry out noise reduction process,
Because the energy of each nonstationary noise distribution trend that exponentially type is distributed is different, need to set multiple noises
Spectrum signature template.Specifically set-up mode is:During Default Value, the noise spectrum that nonstationary noise is preserved in terminal device is special
Levy template.
In embodiments of the present invention, the spectrum signature that above-mentioned call voice signal includes is referred in the call voice signal
Spectrum signature corresponding to all sound, the spectrum signature that matching module 701 includes the call voice signal are special with frequency spectrum successively
Each noise spectrum feature templates in sign ATL are matched, to determine spectrum signature that call voice signal includes
In, if exist with the spectrum signature that any noise spectrum feature templates match in spectrum signature ATL, it is above-mentioned logical to determine
Whether nonstationary noise is included in language sound signal.
First determining module 702, if in the spectrum signature included for the call voice signal, existing and the frequency spectrum
The spectrum signature of any noise spectrum feature templates matching in feature templates storehouse, then the spectrum signature of matching is defined as described
Target spectrum feature;
First noise reduction module 703, for the unstable state belonging to target spectrum feature described in the call voice signal
Noise carries out noise reduction process.
In embodiments of the present invention, if the first determining module 702 is determined in the spectrum signature that the call voice signal includes,
In the presence of the spectrum signature matched with any noise spectrum feature templates in spectrum signature ATL, then by the spectrum signature of matching
It is defined as target spectrum feature, the target spectrum feature is the spectrum signature for needing to carry out the nonstationary noise of noise reduction process,
First noise reduction module 703 carries out noise reduction process to the nonstationary noise belonging to the target spectrum feature.
In embodiments of the present invention, the preset spectrum signature ATL in terminal device, because above-mentioned spectrum signature template
Storehouse includes the noise spectrum feature templates for the nonstationary noise for needing to carry out noise reduction process, then by by above-mentioned call voice signal
Comprising spectrum signature matched with preset spectrum signature ATL, it may be determined that in the call voice signal of local terminal whether
The target spectrum feature for the nonstationary noise for needing to carry out noise reduction process is included, if comprising the first noise reduction module 703 is to the target
Nonstationary noise belonging to spectrum signature carries out noise reduction process so that can be by identifying that the unstable state in call voice signal is made an uproar
The mode selectivity of sound carries out noise reduction process to the nonstationary noise, without carrying out noise reduction to whole call voice signal
Processing, protects the voice of caller not to be destroyed, improves the quality of call.
Referring to Fig. 8, be the refinement structural representation of the first noise reduction module 703 in embodiment illustrated in fig. 7, including:
Second determining module 801, for determining the nonstationary noise belonging to the target spectrum feature in the call language
Voice amplitude in sound signal;
In embodiments of the present invention, the target spectrum is characterized in the sound wave spectrum for carrying information, utilizes the second determining module
801 pairs of sound wave spectrums are analyzed, it may be determined that the nonstationary noise belonging to the target spectrum feature is in call voice signal
Voice amplitude.
Second noise reduction module 802, for the voice amplitude progress to the nonstationary noise belonging to the target spectrum feature
Noise reduction process.
In embodiments of the present invention, the noise reduction capability of each terminal device is limited, so in Default Value
When will preset a system noise reduction limiting value, the system noise reduction limiting value represent nonstationary noise amplitude decline maximum
Degree.Therefore, the specific implementation of noise reduction process is carried out to the voice amplitude of the nonstationary noise belonging to above-mentioned target spectrum feature
Process is:The voice amplitude of nonstationary noise belonging to above-mentioned target spectrum feature is subtracted into default system noise reduction limiting value,
Target voice amplitude can be obtained, is the target language by the voice range-adjusting of the nonstationary noise belonging to the target spectrum feature
Sound amplitude.For example, default system noise reduction limiting value is 100db, if the voice of the nonstationary noise belonging to target spectrum feature
Amplitude is 200db, and the voice range-adjusting of the nonstationary noise belonging to target spectrum feature can be by the second noise reduction module 802
100db;If the voice amplitude of the nonstationary noise belonging to target spectrum feature is 150db, the second noise reduction module 802 can be by mesh
The voice range-adjusting for marking the nonstationary noise belonging to spectrum signature is 50db.
It should be noted that because the nonstationary noise in the embodiment of the present invention is a kind of high-energy and energy exponentially type
The noise of rising, so the voice amplitude of the nonstationary noise belonging to the target spectrum feature is subtracted into system noise reduction limiting value
Afterwards, its difference is necessarily greater than 0.
In embodiments of the present invention, the nonstationary noise belonging to the target spectrum feature is determined in the second determining module 801
After voice amplitude in above-mentioned call voice signal, the second noise reduction module 802 will be non-steady belonging to above-mentioned target spectrum feature
The voice amplitude of state noise subtracts default system noise reduction limiting value, can obtain target voice amplitude, the second noise reduction module 802
It is the target voice amplitude by the voice range-adjusting of the nonstationary noise belonging to the target spectrum feature, can be to target spectrum
Nonstationary noise belonging to feature carries out maximization noise reduction process, while the sound of caller of local terminal is not damaged, reduces
The amplitude of nonstationary noise, ensure that speech quality.
Referring to Fig. 9, be a kind of structural representation for denoising device of conversing in sixth embodiment of the invention, including:
Acquisition module 601, the call voice signal that the microphone for obtaining local terminal collects;
Parsing module 602, spectrum signature parsing is carried out for the call voice signal, obtains the call voice signal
Comprising spectrum signature;
Noise reduction module 603 is determined, in the spectrum signature included for determining the call voice signal, if exist and belong to
The target spectrum feature of nonstationary noise, if the target spectrum feature be present, to mesh described in the call voice signal
Mark the nonstationary noise belonging to spectrum signature and carry out noise reduction process;
In embodiments of the present invention, above-mentioned acquisition module 601, parsing module 602 and determination noise reduction module 603 and the present invention
The content that acquisition module 601, parsing module 602 and determination noise reduction module 603 in fourth embodiment describe is consistent, herein no longer
It is repeated here.
Frequency decay module 901, for utilizing preset frequency decay parameter to non-belonging to the target spectrum feature
Steady-state noise carries out frequency decay processing.
Because frequency values can influence tone color, frequency is higher, and tone color is sharper, easily makes one to produce sense of fatigue acoustically, examines
Consider nonstationary noise and the too high feature of frequency be present, therefore in order to avoid nonstationary noise makes one to produce fatigue acoustically
Sense to nonstationary noise, it is necessary to further carry out frequency decay processing.
In embodiments of the present invention, it is determined that in the spectrum signature that above-mentioned call voice signal includes, exist and belong to non-steady
After the target spectrum feature of state noise, frequency decay module 901 is using preset frequency decay parameter to the target spectrum feature
Affiliated nonstationary noise carries out frequency decay processing so that tone color becomes gentle.Concrete processing procedure is:Utilize frequency decay
Module 901 determines frequency of the sound wave spectrum of target spectrum feature at each time point, by the frequency at each above-mentioned time point
Rate all divided by preset frequency decay parameter, obtains the nonstationary noise after frequency decay.
Wherein, the frequency decay parameter is systemic presupposition, and the frequency decay parameter show also the frequency reducing of terminal device
The limiting value of ability.
It should be noted that said frequencies attenuation module 901 can be to the nonstationary noise belonging to target spectrum feature
Performed before noise reduction process, the nonstationary noise belonging to target spectrum feature can also carried out to hold after noise reduction process
OK.
In embodiments of the present invention, by frequency decay module 901 to the nonstationary noise belonging to the target spectrum feature
Frequency decay processing is carried out, reduces the frequency of the nonstationary noise belonging to the target spectrum feature so that tone color becomes gentle, keeps away
Exempt from the sense of fatigue of people's generation acoustically, improve Consumer's Experience.
In several embodiments provided herein, it should be understood that disclosed apparatus and method, it can be passed through
Its mode is realized.For example, device embodiment described above is only schematical, for example, the division of the module, only
Only a kind of division of logic function, there can be other dividing mode when actually realizing, such as multiple module or components can be tied
Another system is closed or is desirably integrated into, or some features can be ignored, or do not perform.It is another, it is shown or discussed
Mutual coupling or direct-coupling or communication connection can be the INDIRECT COUPLINGs or logical by some interfaces, device or module
Letter connection, can be electrical, mechanical or other forms.
The module illustrated as separating component can be or may not be physically separate, show as module
The part shown can be or may not be physical module, you can with positioned at a place, or can also be distributed to multiple
On mixed-media network modules mixed-media.Some or all of module therein can be selected to realize the mesh of this embodiment scheme according to the actual needs
's.
In addition, each functional module in each embodiment of the present invention can be integrated in a processing module, can also
That modules are individually physically present, can also two or more modules be integrated in a module.Above-mentioned integrated mould
Block can both be realized in the form of hardware, can also be realized in the form of software function module.
If the integrated module is realized in the form of software function module and is used as independent production marketing or use
When, it can be stored in a computer read/write memory medium.Based on such understanding, technical scheme is substantially
The part to be contributed in other words to prior art or all or part of the technical scheme can be in the form of software products
Embody, the computer software product is stored in a storage medium, including some instructions are causing a computer
Equipment (can be personal computer, server, or network equipment etc.) performs the complete of each embodiment methods described of the present invention
Portion or part steps.And foregoing storage medium includes:USB flash disk, mobile hard disk, read-only storage (ROM, Read-Only
Memory), random access memory (RAM, Random Access Memory), magnetic disc or CD etc. are various can store journey
The medium of sequence code.
It should be noted that for foregoing each method embodiment, in order to which simplicity describes, therefore it is all expressed as a series of
Combination of actions, but those skilled in the art should know, the present invention is not limited by described sequence of movement because
According to the present invention, some steps can use other orders or carry out simultaneously.Secondly, those skilled in the art should also know
Know, embodiment described in this description belongs to preferred embodiment, and involved action and module might not all be this hairs
Necessary to bright.
In the above-described embodiments, the description to each embodiment all emphasizes particularly on different fields, and does not have the portion being described in detail in some embodiment
Point, it may refer to the associated description of other embodiments.
It is to a kind of call noise-reduction method, device, terminal device and computer-readable storage provided by the present invention above
The description of medium, for those skilled in the art, according to the thought of the embodiment of the present invention, in embodiment and using model
There will be changes are placed, to sum up, this specification content should not be construed as limiting the invention.
Claims (12)
1. one kind call noise-reduction method, it is characterised in that methods described includes:
Obtain the call voice signal that the microphone of local terminal collects;
Spectrum signature parsing is carried out to the call voice signal, obtains the spectrum signature that the call voice signal includes;
Determine in the spectrum signature that the call voice signal includes, if the target spectrum spy for belonging to nonstationary noise be present
Sign, if the target spectrum feature be present, to the unstable state belonging to target spectrum feature described in the call voice signal
Noise carries out noise reduction process.
2. according to the method for claim 1, it is characterised in that the frequency spectrum spy for determining the call voice signal and including
In sign, if the target spectrum feature for belonging to nonstationary noise be present, if the target spectrum feature be present, to the call
Nonstationary noise belonging to target spectrum feature described in voice signal carries out noise reduction process, including:
The spectrum signature that the call voice signal includes is matched with preset spectrum signature ATL, the frequency spectrum is special
Sign ATL includes the noise spectrum feature templates for the nonstationary noise for needing to carry out noise reduction process;
If in the spectrum signature that the call voice signal includes, exist and any noise frequency in the spectrum signature ATL
The spectrum signature of spectrum signature template matches, then the spectrum signature of matching is defined as the target spectrum feature;
Noise reduction process is carried out to the nonstationary noise belonging to target spectrum feature described in the call voice signal.
3. according to the method for claim 2, it is characterised in that described to target spectrum described in the call voice signal
Nonstationary noise belonging to feature carries out noise reduction process, including:
Determine voice amplitude of the nonstationary noise in the call voice signal belonging to the target spectrum feature;
Noise reduction process is carried out to the voice amplitude of the nonstationary noise belonging to the target spectrum feature.
4. according to the method for claim 3, it is characterised in that the unstable state to belonging to the target spectrum feature is made an uproar
The voice amplitude of sound carries out noise reduction process, including:
The voice amplitude of nonstationary noise belonging to the target spectrum feature is subtracted into default system noise reduction limiting value, obtained
Target voice amplitude;
Noise reduction is carried out to the voice amplitude of the nonstationary noise belonging to the target spectrum feature using the target voice amplitude
Processing.
5. according to the method described in any one of Claims 1-4, it is characterised in that methods described also includes:
Frequency decay processing is carried out to the nonstationary noise belonging to the target spectrum feature using preset frequency decay parameter.
6. one kind call denoising device, it is characterised in that described device includes:
Acquisition module, the call voice signal that the microphone for obtaining local terminal collects;
Parsing module, for carrying out spectrum signature parsing to the call voice signal, obtain the call voice signal and include
Spectrum signature;
Noise reduction module is determined, in the spectrum signature included for determining the call voice signal, if exist and belong to unstable state
The target spectrum feature of noise, if the target spectrum feature be present, to target spectrum described in the call voice signal
Nonstationary noise belonging to feature carries out noise reduction process.
7. device according to claim 6, it is characterised in that the determination noise reduction module includes:
Matching module, for spectrum signature and the preset spectrum signature ATL progress for including the call voice signal
Match somebody with somebody, the spectrum signature ATL includes the noise spectrum feature templates for the nonstationary noise for needing to carry out noise reduction process;
First determining module, if in the spectrum signature included for the call voice signal, existing and the spectrum signature mould
The spectrum signature of any noise spectrum feature templates matching in plate storehouse, then the spectrum signature of matching is defined as the target frequency
Spectrum signature;
First noise reduction module, for being carried out to the nonstationary noise belonging to target spectrum feature described in the call voice signal
Noise reduction process.
8. device according to claim 7, it is characterised in that first noise reduction module includes:
Second determining module, for determining the nonstationary noise belonging to the target spectrum feature in the call voice signal
Voice amplitude;
Second noise reduction module, for being carried out to the voice amplitude of the nonstationary noise belonging to the target spectrum feature at noise reduction
Reason.
9. device according to claim 8, it is characterised in that second noise reduction module is specifically used for:
The voice amplitude of nonstationary noise belonging to the target spectrum feature is subtracted into default system noise reduction limiting value, obtained
Target voice amplitude;
Noise reduction is carried out to the voice amplitude of the nonstationary noise belonging to the target spectrum feature using the target voice amplitude
Processing.
10. according to the device described in any one of claim 6 to 9, it is characterised in that described device also includes:
Frequency decay module, for utilizing preset frequency decay parameter to the nonstationary noise belonging to the target spectrum feature
Carry out frequency decay processing.
11. a kind of terminal device, including:Memory, processor and storage are on a memory and the meter that can run on a processor
Calculation machine program, it is characterised in that described in the computing device during computer program, realize claim 1 to 5 any one institute
Each step in the call noise-reduction method stated.
12. a kind of computer-readable recording medium, is stored thereon with computer program, it is characterised in that the computer program
When being executed by processor, each step in the call noise-reduction method described in claim 1 to 5 any one is realized.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711098921.6A CN107786709A (en) | 2017-11-09 | 2017-11-09 | Call noise-reduction method, device, terminal device and computer-readable recording medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711098921.6A CN107786709A (en) | 2017-11-09 | 2017-11-09 | Call noise-reduction method, device, terminal device and computer-readable recording medium |
Publications (1)
Publication Number | Publication Date |
---|---|
CN107786709A true CN107786709A (en) | 2018-03-09 |
Family
ID=61433116
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201711098921.6A Pending CN107786709A (en) | 2017-11-09 | 2017-11-09 | Call noise-reduction method, device, terminal device and computer-readable recording medium |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107786709A (en) |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109361933A (en) * | 2018-11-13 | 2019-02-19 | 仲恺农业工程学院 | A kind of audio/video information processing method |
CN110782891A (en) * | 2019-10-10 | 2020-02-11 | 珠海格力电器股份有限公司 | Audio processing method and device, computing equipment and storage medium |
CN111796790A (en) * | 2019-04-09 | 2020-10-20 | 深圳市冠旭电子股份有限公司 | Sound effect adjusting method and device, readable storage medium and terminal equipment |
CN111863014A (en) * | 2019-04-26 | 2020-10-30 | 北京嘀嘀无限科技发展有限公司 | Audio processing method and device, electronic equipment and readable storage medium |
CN111986688A (en) * | 2020-09-09 | 2020-11-24 | 北京小米松果电子有限公司 | Method, device and medium for improving speech definition |
CN113345469A (en) * | 2021-05-24 | 2021-09-03 | 北京小米移动软件有限公司 | Voice signal processing method and device, electronic equipment and storage medium |
CN114615586A (en) * | 2022-03-25 | 2022-06-10 | 歌尔股份有限公司 | Earphone noise reduction method and device, electronic equipment and readable storage medium |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6032114A (en) * | 1995-02-17 | 2000-02-29 | Sony Corporation | Method and apparatus for noise reduction by filtering based on a maximum signal-to-noise ratio and an estimated noise level |
CN101154384A (en) * | 2006-09-25 | 2008-04-02 | 富士通株式会社 | Sound signal correcting method, sound signal correcting apparatus and computer program |
WO2010052749A1 (en) * | 2008-11-04 | 2010-05-14 | 三菱電機株式会社 | Noise suppression device |
CN102549659A (en) * | 2009-10-01 | 2012-07-04 | 高通股份有限公司 | Suppressing noise in an audio signal |
CN103578470A (en) * | 2012-08-09 | 2014-02-12 | 安徽科大讯飞信息科技股份有限公司 | Telephone recording data processing method and system |
CN104575513A (en) * | 2013-10-24 | 2015-04-29 | 展讯通信(上海)有限公司 | Burst noise processing system and burst noise detection and suppression method and device |
CN105405447A (en) * | 2015-10-27 | 2016-03-16 | 航宇救生装备有限公司 | Telephone transmitter respiration noise shielding method |
-
2017
- 2017-11-09 CN CN201711098921.6A patent/CN107786709A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6032114A (en) * | 1995-02-17 | 2000-02-29 | Sony Corporation | Method and apparatus for noise reduction by filtering based on a maximum signal-to-noise ratio and an estimated noise level |
CN101154384A (en) * | 2006-09-25 | 2008-04-02 | 富士通株式会社 | Sound signal correcting method, sound signal correcting apparatus and computer program |
WO2010052749A1 (en) * | 2008-11-04 | 2010-05-14 | 三菱電機株式会社 | Noise suppression device |
CN102549659A (en) * | 2009-10-01 | 2012-07-04 | 高通股份有限公司 | Suppressing noise in an audio signal |
CN103578470A (en) * | 2012-08-09 | 2014-02-12 | 安徽科大讯飞信息科技股份有限公司 | Telephone recording data processing method and system |
CN104575513A (en) * | 2013-10-24 | 2015-04-29 | 展讯通信(上海)有限公司 | Burst noise processing system and burst noise detection and suppression method and device |
CN105405447A (en) * | 2015-10-27 | 2016-03-16 | 航宇救生装备有限公司 | Telephone transmitter respiration noise shielding method |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109361933A (en) * | 2018-11-13 | 2019-02-19 | 仲恺农业工程学院 | A kind of audio/video information processing method |
CN111796790A (en) * | 2019-04-09 | 2020-10-20 | 深圳市冠旭电子股份有限公司 | Sound effect adjusting method and device, readable storage medium and terminal equipment |
CN111796790B (en) * | 2019-04-09 | 2023-09-08 | 深圳市冠旭电子股份有限公司 | Sound effect adjusting method and device, readable storage medium and terminal equipment |
CN111863014A (en) * | 2019-04-26 | 2020-10-30 | 北京嘀嘀无限科技发展有限公司 | Audio processing method and device, electronic equipment and readable storage medium |
CN110782891A (en) * | 2019-10-10 | 2020-02-11 | 珠海格力电器股份有限公司 | Audio processing method and device, computing equipment and storage medium |
CN110782891B (en) * | 2019-10-10 | 2022-02-18 | 珠海格力电器股份有限公司 | Audio processing method and device, computing equipment and storage medium |
CN111986688A (en) * | 2020-09-09 | 2020-11-24 | 北京小米松果电子有限公司 | Method, device and medium for improving speech definition |
CN113345469A (en) * | 2021-05-24 | 2021-09-03 | 北京小米移动软件有限公司 | Voice signal processing method and device, electronic equipment and storage medium |
CN114615586A (en) * | 2022-03-25 | 2022-06-10 | 歌尔股份有限公司 | Earphone noise reduction method and device, electronic equipment and readable storage medium |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107786709A (en) | Call noise-reduction method, device, terminal device and computer-readable recording medium | |
CN107172256A (en) | Earphone call self-adapting regulation method, device, mobile terminal and storage medium | |
CN109257500A (en) | Audio frequency playing method, device, electronic equipment and storage medium | |
CN107172313A (en) | Improve method, device, mobile terminal and the storage medium of hand-free call quality | |
CN107872555A (en) | Call recording method, device, terminal device and computer-readable recording medium | |
CN109151211B (en) | Voice processing method and device and electronic equipment | |
CN107395883A (en) | Voice signal adjusting method, communication terminal and computer-readable recording medium | |
CN106033337B (en) | A kind of instant messaging emoticon generation method and device | |
CN107948055A (en) | Shielding group members send out the method, apparatus and computer-readable recording medium of message | |
CN106657528A (en) | Incoming call management method and device | |
CN106488413A (en) | Notification message based reminding method and mobile terminal | |
CN107367327A (en) | Calibration method, device, mobile terminal and the readable storage medium storing program for executing of optical sensor | |
CN106951521A (en) | The reading/writing method of journal file, apparatus and system | |
CN107360332A (en) | Talking state display methods, device, mobile terminal and storage medium | |
CN107682553B (en) | Call signal sending method and device, mobile terminal and storage medium | |
CN107425568A (en) | Prevent battery from crossing the method, apparatus put, mobile terminal and storage medium | |
CN109951400A (en) | Instruction sending method, device, electronic equipment and the readable storage medium storing program for executing of terminal | |
CN105930084A (en) | Screenshot picture editing method and apparatus | |
CN107871015A (en) | Daily record data processing method and processing device, terminal and readable storage medium storing program for executing | |
CN107222629A (en) | Call processing method and related product | |
CN108363628A (en) | Message treatment method, device, terminal and computer readable storage medium | |
CN106488039A (en) | Volume adjusting method and system, mobile terminal and playback equipment | |
CN106488015A (en) | Incoming call processing method and device | |
CN109346102B (en) | Method and device for detecting audio beginning crackle and storage medium | |
CN108154886A (en) | Noise suppressing method and device, electronic device and computer readable storage medium |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180309 |
|
RJ01 | Rejection of invention patent application after publication |