CN104616662A - Active noise reduction method and device - Google Patents
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Abstract
The invention provides an active noise reduction method and device, wherein the device comprises the following steps: a storage unit in which signal samples of at least one effective sound are stored in advance; an acquisition unit for acquiring an ambient sound signal; the comparison unit is used for comparing the environmental sound signal obtained by the acquisition unit with at least one signal sample of effective sound stored in the storage unit in advance to obtain all classes of effective sound with the similarity degree with the environmental sound signal larger than a preset threshold; an extraction unit, which is used for extracting the noise signal excluding the signal corresponding to the effective sound from the environment sound signal obtained by the acquisition unit according to the type of the effective sound obtained by the comparison unit; and the generating unit is used for generating a noise reduction signal according to the noise signal obtained by the extracting unit, and the noise reduction signal is used for offsetting the environment sound after all effective sounds are eliminated. The invention can solve the problem that active noise reduction can shield effective sound in environmental sound.
Description
Technical field
The present invention relates to audio-frequency information processing technology field, be specifically related to a kind of active denoising method and device.
Background technology
Active noise control technology (Active Noise Control, ANC) be principle according to two sound wave destructive interference or Reduction of acoustic radiation, produce and the sound wave equal and opposite in direction being cancelled sound source (elementary sound source), acoustic irradiation that phase place is contrary by offsetting sound source (secondary sound source), cancel out each other, thus reach the object reducing noise.This technology has been widely used in and has produced and in life, had active noise reduction earphone to sell at present, can eliminate the impact of external environment noise well at present, is especially applicable to home theater and uses, and makes people can appreciate film from ambient noise interference.
But while ambient noise is eliminated, the sound wave of some effective sound equally likely can be fallen by said process in conductively-closed, thus user is made to can't hear effective sound in ambient sound, such as fire alarm sound, tap-tap and incoming ring tone etc.But, remove noise only by simple filtering method can not retain effective sound effectively.This is main because the type of effective sound varies, and all in different frequency ranges, has different distribution separately.The usual frequency of such as chimes of doom is higher, and the frequency of tap-tap is then usually lower, and likely can be distributed in multiple discontinuous frequency range.
Summary of the invention
For defect of the prior art, the invention provides a kind of active denoising method and device, the problem that active noise reduction can shield the effective sound in ambient sound can be solved.
First aspect, the invention provides a kind of active denoising method, the method comprises:
Prestore the sample of signal of the effective sound of at least one;
Obtain environmental sound signal;
The sample of signal of described environmental sound signal with the effective sound of described at least one prestored is compared, is greater than the classification of effective sound of predetermined threshold value with the similarity degree obtaining all and described environmental sound signal;
From described environmental sound signal, the noise signal after getting rid of the signal corresponding with effective sound is extracted according to the classification of described effective sound;
Generate de-noising signal according to described noise signal, described de-noising signal is for offsetting the ambient sound eliminated after all effective sound.
Alternatively, described in prestore the sample of signal of the effective sound of at least one, comprising:
Preset at least a kind of effectively sound;
Sound effective described in each is sampled, obtains the sample information corresponding with sound effective described in each;
Signature analysis and signal extraction are carried out to described sample information, to set up and to store the described sample of signal corresponding with sound effective described in each.
Alternatively, the described classification according to described effective sound extracts the noise signal after getting rid of the signal corresponding with effective sound from described environmental sound signal, comprising:
The frequency range at described environmental sound signal place is divided into several frequency ranges;
In several frequency ranges described, get rid of the frequency range at each effective sound place in the classification of described effective sound, and the signal extracted from described environmental sound signal in residue frequency range is as noise signal.
Alternatively, described according to described noise signal generation de-noising signal, described de-noising signal, for offsetting the ambient sound eliminated after all effective sound, comprising:
In each frequency range in several frequency ranges described, generate and the described noise signal amplitude in this frequency range and frequency is identical, phase place is contrary de-noising signal;
Described de-noising signal in all frequency ranges is superposed with source signal to be played.
Second aspect, present invention also offers a kind of active noise reducing device, and this device comprises:
Be previously stored with the storage unit of the sample of signal of the effective sound of at least one;
Acquiring unit, for obtaining environmental sound signal;
Comparing unit, sample of signal for the effective sound of at least one prestored in the environmental sound signal that obtained by described acquiring unit and described storage unit compares, and is greater than the classification of effective sound of predetermined threshold value with the similarity degree obtaining all and described environmental sound signal;
Extraction unit, the classification for the effective sound obtained according to described comparing unit extracts the noise signal after getting rid of the signal corresponding with effective sound from the environmental sound signal that described acquiring unit obtains;
Generation unit, generate de-noising signal for the noise signal obtained according to described extraction unit, described de-noising signal is for offsetting the ambient sound eliminated after all effective sound.
Alternatively, this device also comprises:
Sampling unit, for sampling to the voice signal of effective sound;
Set up unit, set up the sample of signal corresponding with sound effective described in each for the sampled result according to described sampling unit, and be stored in described storage unit.
Alternatively, described extraction unit comprises:
Divide module, the frequency range for the environmental sound signal place obtained by described acquiring unit is divided into several frequency ranges;
Extraction module, for getting rid of the frequency range at each effective sound place in the classification of described effective sound in several frequency ranges of obtaining in described division module, and the signal extracted from described environmental sound signal in residue frequency range is as noise signal.
Alternatively, described generation unit comprises:
Generation module, in each frequency range in several frequency ranges of obtaining in described division module, generates and noise signal amplitude that the described extraction module in this frequency range obtains and frequency is identical, phase place is contrary de-noising signal;
Laminating module, superposes with source signal to be played for the de-noising signal obtained by the described generation module in all frequency ranges.
Alternatively, described active noise reducing device also comprises broadcast unit, and this broadcast unit is used for after described comparing unit obtains the classification of described effective sound, plays the sample of signal corresponding with the classification of described effective sound.
Alternatively, described effective sound comprises following one or more: doorbell sound, tap-tap, alarm of fire sound, vagitus, telephone bell, electrical equipment chimes of doom, vehicle whistle sound, subway are called out the stops sound.
As shown from the above technical solution, the present invention can by the sample of signal of effective sound comparing environmental sound signal and preset, the noise signal not comprising effective sound is extracted according to comparing the similarity degree obtained, thus active noise reduction can be avoided the shielding of effective sound, the problem that active noise reduction can shield the effective sound in ambient sound can be solved.
Compare and directly environmental sound signal is carried out to the technical scheme of filtering, the present invention has stronger specific aim, more effectively can remove noise and retain effective sound; Meanwhile, the setting that the present invention can be compared by sample of signal and similarity degree changes the effect of noise reduction neatly, has better dirigibility.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, simply introduce doing one to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the steps flow chart schematic diagram of a kind of active denoising method in one embodiment of the invention;
Fig. 2 is the steps flow chart schematic diagram of the obtain manner of the sample of signal of a kind of effective sound in one embodiment of the invention;
Fig. 3 is a kind of steps flow chart schematic diagram extracting noise signal in one embodiment of the invention;
Fig. 4 is a kind of steps flow chart schematic diagram carrying out active noise reduction in one embodiment of the invention;
Fig. 5 is the structured flowchart of a kind of active noise reducing device in one embodiment of the invention;
Fig. 6 is the structural representation of a kind of active noise reducing device in a preferred embodiment of the present invention.
Embodiment
For making the object of the embodiment of the present invention, technical scheme and advantage clearly, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
Fig. 1 is the steps flow chart schematic diagram of a kind of active denoising method in one embodiment of the invention.See Fig. 1, the method comprises:
Step 101: the sample of signal prestoring the effective sound of at least one.
Specifically, can be that the sample of signal of effective at least one sound is stored in arbitrary storer with the form of file or database, read in order to follow-up flow process.Effective sound wherein can be set by the user in advance, also can be that can also be connected with Cloud Server and upgrade at any time, the present invention does not limit this according to the use habit of user by factory pre-sets.
Step 102: obtain environmental sound signal.
For example, step 102 can comprise employing audio input device and carry out sampling recording to ambient sound, and obtains environmental sound signal through a series of Audio Signal Processing.Certainly, in the embodiment of the present invention, said signal can be simulating signal also can be digital signal, and those skilled in the art can be arranged according to actual needs flexibly, and the present invention does not limit this.
Step 103: the sample of signal of described environmental sound signal with the effective sound of described at least one prestored is compared, is greater than the classification of effective sound of predetermined threshold value with the similarity degree obtaining all and described environmental sound signal.
Such as, step 103 can specifically comprise following flow process: after the sample of signal having prestored tap-tap, alarm of fire sound and these three kinds of effective sound of vagitus, the sample of signal of the environmental sound signal and these the three kinds of effective sound that obtain in step 102 is compared one by one, obtains 0.5%, 98% and 20% 3 corresponding similarity degree numerical value with default similarity degree algorithm.Be under the prerequisite of 95% in predetermined threshold value, through relatively just showing that the classification of above-mentioned effective sound comprises alarm of fire sound.Certainly, in other embodiments of the invention, the classification of above-mentioned effective sound can comprise multiple simultaneously, and the setting of similarity degree algorithm and predetermined threshold value is all that those skilled in the art are easily arranged according to prior art, does not repeat them here.
Step 104: extract the noise signal after getting rid of the signal corresponding with effective sound according to the classification of described effective sound from described environmental sound signal.
For the simplest situation, when the classification of above-mentioned effective sound only includes alarm of fire sound one, can judge to there is effective sound in ambient sound, therefore whole environmental sound signal can be judged to be that effective voice signal retains, and obtain blank noise signal; When the classification of above-mentioned effective sound does not comprise any one default effective sound, whole environmental sound signal can be judged to be noise signal.
Certainly, when judging to there is effective sound in ambient sound in upper example, can also only get rid of a part of signal corresponding with fire alarm sound in environmental sound signal, and using remainder as noise signal.The mode got rid of can be carry out signal subtraction with environmental sound signal after carrying out convergent-divergent and frequency correction in proportion to the sample of signal of fire alarm sound, to obtain in environmental sound signal remainder as noise signal.
It will be appreciated by those skilled in the art that the classification of the effective sound of above-mentioned basis extracts the noise signal after getting rid of the signal corresponding with effective sound and can have embodiment like multiple types from environmental sound signal based on above-mentioned example, the present invention is not all restricted.
Step 105: generate de-noising signal according to described noise signal, described de-noising signal is for offsetting the ambient sound eliminated after all effective sound.
Such as, but de-noising signal that phase place contrary all equal with frequency with noise signal amplitude can be produced according to noise signal, and after being superposed with source signal to be played by this de-noising signal, just can play the effect of the noise in reduction ambient sound.Certainly, depending on the difference of active noise reduction process embodiment, step 105 also can have corresponding change, and the present invention does not limit this.
The steps flow chart of the embodiment of the present invention is described above.Can find out, the embodiment of the present invention can by the sample of signal of effective sound comparing environmental sound signal and preset, the noise signal not comprising effective sound is extracted according to comparing the similarity degree obtained, thus active noise reduction can be avoided the shielding of effective sound, the problem that active noise reduction can shield the effective sound in ambient sound can be solved.Compare and directly environmental sound signal is carried out to the technical scheme of filtering, the embodiment of the present invention has stronger specific aim, more effectively can remove noise and retain effective sound; Meanwhile, the setting that the embodiment of the present invention can be compared by sample of signal and similarity degree changes the effect of noise reduction neatly, has better dirigibility.
Further, above-mentionedly preset at least a kind of effective sound and can comprise following one or more: doorbell sound, tap-tap, alarm of fire sound, vagitus, telephone bell, electrical equipment chimes of doom, vehicle whistle sound, subway are called out the stops sound.These sound all have obvious signal characteristic, and for general user, all carry useful information, therefore using any one in these sound or multiplely at least a kind of effectively sound can be preset in above-described embodiment, the shielding that active noise reduction can be avoided to carry out these sound, promotes Consumer's Experience effectively.
And for any one effective sound, the acquisition of sample of signal can be carried out in the following manner, i.e. above-mentioned steps 101: the sample of signal prestoring the effective sound of at least one, specifically can comprise the steps flow chart of the obtain manner of the sample of signal of a kind of effective sound in the one embodiment of the invention shown in Fig. 2:
Step 101a: sample to sound effective described in each, obtains the sample information corresponding with sound effective described in each;
Step 101b: carry out signature analysis and signal extraction to described sample information, to set up and to store the described sample of signal corresponding with sound effective described in each.
Wherein, above-mentioned sampling process of carrying out sound effective described in each can comprise and be not limited only to sound recording (sense audio is to obtain simulating signal), signal amplification, signal shaping, signal filtering, analog to digital conversion or digital-to-analog conversion etc.Above-mentioned sample information for example can be the data acquisition obtained by certain frequency interval down-sampling.The above-mentioned signature analysis that carries out described sample information and signal extraction can comprise and be not limited only to frequency domain conversion, spectrum analysis, spectral filtering and characteristic frequency and extract etc., and above-mentioned sample of signal can comprise the characteristic frequency value of effective sound and the size of characteristic frequency place signal amplitude, or also can be comprise other forms of signal characteristic.Based on step 101a and step 101b, user oneself can be made to carry out the setting of effective sound, thus in use can switch the set-up mode of effective sound flexibly, promote the treatment effect of active noise reduction further.
On the other hand, above-mentioned steps 104: extract the noise signal after getting rid of the signal corresponding with effective sound according to the classification of described effective sound from described environmental sound signal, specifically can comprise a kind of steps flow chart extracting noise signal in the one embodiment of the invention shown in Fig. 3:
Step 104a: the frequency range at described environmental sound signal place is divided into several frequency ranges;
Step 104b: the frequency range getting rid of each effective sound place in the classification of described effective sound in several frequency ranges described, and the signal extracted from described environmental sound signal in residue frequency range is as noise signal.
Visible, here environmental sound signal frequency-division section is processed, from several frequency ranges determined, get rid of the frequency range at effective sound place, thus using the environmental sound signal in sound frequency range as noise signal.Based on this processing mode, effective sound can be retained to greatest extent in conjunction with Audio Signal Processing technology, and effectively can distinguish the noise in ambient sound, play good noise signal extraction effect.Certainly, it is less that several frequency ranges above-mentioned divide, and the extraction effect played is better, but data processing amount also can be larger thereupon, and those skilled in the art can carry out selection according to actual needs and arrange.
Under frequency-division section processing mode, corresponding above-mentioned steps 105: generate de-noising signal according to described noise signal, described de-noising signal, for offsetting the ambient sound eliminated after all effective sound, also specifically can comprise a kind of steps flow chart carrying out active noise reduction in the one embodiment of the invention shown in Fig. 4:
Step 105a: in each frequency range in several frequency ranges described, generates and the described noise signal amplitude in this frequency range and frequency is identical, phase place is contrary de-noising signal;
Step 105b: the described de-noising signal in all frequency ranges is superposed with source signal to be played.
Visible, be equivalent to correspond to each frequency range here and be all provided with a switch, and the conducting of this switch is determined with the frequency range whether shutoff belongs to by corresponding frequency band the noise signal place that above-mentioned steps 104b obtains.And under switch-turn-ON states, the de-noising signal (under off state, this treatment facility does not work) that the noise signal in corresponding frequency band will be generated amplitude by the treatment facility corresponding with this frequency range and frequency is identical, phase place is contrary.Finally, only need all de-noising signals to superpose with source signal to be played, after playing superposition, the noise in ambient sound can be offset at Ren Erchu when signal, play the effect of active noise reduction.Based on above-mentioned steps flow process, the frequency-division section process of whole steps flow chart can be realized, and according to this corresponding implement device can be set framework, be suitable for the application under each scene.
Based on same inventive concept, embodiments provide a kind of active noise reducing device, shown in Figure 5 go out one embodiment of the invention in a kind of structured flowchart of active noise reducing device, this device comprises:
Be previously stored with the storage unit 51 of the sample of signal of the effective sound of at least one;
Acquiring unit 52, for obtaining environmental sound signal;
Comparing unit 53, sample of signal for the effective sound of at least one prestored in the environmental sound signal that obtained by above-mentioned acquiring unit 52 and said memory cells 51 compares, and is greater than the classification of effective sound of predetermined threshold value with the similarity degree obtaining all and above-mentioned environmental sound signal;
Extraction unit 54, the classification for the effective sound obtained according to above-mentioned comparing unit 53 extracts the noise signal after getting rid of the signal corresponding with effective sound from the environmental sound signal that above-mentioned acquiring unit 52 obtains;
Generation unit 55, generate de-noising signal for the noise signal obtained according to said extracted unit 54, above-mentioned de-noising signal is for offsetting the ambient sound eliminated after all effective sound.
Be understandable that, unit in this device can have following annexation: storage unit 51 is connected with comparing unit 53, acquiring unit 52 is all connected with comparing unit 53, extraction unit 54, and comparing unit 53 is connected with extraction unit 54, and extraction unit is also connected with generation unit 55.Particularly, this device can be active active noise reduction earphone, active active noise reduction audio amplifier or any other there is device or the equipment of active noise reduction function.
Can find out, the embodiment of the present invention can by the sample of signal of effective sound comparing environmental sound signal and preset, the noise signal not comprising effective sound is extracted according to comparing the similarity degree obtained, thus active noise reduction can be avoided the shielding of effective sound, the problem that active noise reduction can shield the effective sound in ambient sound can be solved.Compare and directly environmental sound signal is carried out to the technical scheme of filtering, the embodiment of the present invention has stronger specific aim, more effectively can remove noise and retain effective sound; Meanwhile, the setting that the embodiment of the present invention can be compared by sample of signal and similarity degree changes the effect of noise reduction neatly, has better dirigibility.
In addition, the active noise reducing device of the present embodiment can perform in the embodiment of the method shown in aforesaid Fig. 1 that step 102 is to the flow process of step 105, and the present embodiment does not describe in detail at this.
Above-mentionedly preset at least a kind of effective sound and can comprise following one or more: doorbell sound, tap-tap, alarm of fire sound, vagitus, telephone bell, electrical equipment chimes of doom, vehicle whistle sound, subway are called out the stops sound.These sound all have obvious signal characteristic, and for general user, all carry useful information, therefore using any one in these sound or multiplely at least a kind of effectively sound can be preset in above-described embodiment, the shielding that active noise reduction can be avoided to carry out these sound, promotes Consumer's Experience effectively.
And for any one effective sound, following structure can be utilized to carry out the acquisition of sample of signal, namely said apparatus also comprises unshowned following structure in Fig. 5:
Sampling unit 56, for sampling to the voice signal of effective sound;
Set up unit 57, set up the sample of signal corresponding with each above-mentioned effective sound for the sampled result according to above-mentioned sampling unit 56, and be stored in said memory cells 51.
Wherein, above-mentioned sampling process of carrying out sound effective described in each can comprise and be not limited only to sound recording (sense audio is to obtain simulating signal), signal amplification, signal shaping, signal filtering, analog to digital conversion or digital-to-analog conversion etc.Above-mentioned sample information for example can be the data acquisition obtained by certain frequency interval down-sampling.The above-mentioned signature analysis that carries out described sample information and signal extraction can comprise and be not limited only to frequency domain conversion, spectrum analysis, spectral filtering and characteristic frequency and extract etc., and above-mentioned sample of signal can comprise the characteristic frequency value of effective sound and the size of characteristic frequency place signal amplitude, or also can be comprise other forms of signal characteristic.Based on sampling unit 56 with set up unit 57, user oneself can be made to carry out the setting of effective sound, thus in use can switch the set-up mode of effective sound flexibly, promote the treatment effect of active noise reduction further.
In addition, the active noise reducing device of the present embodiment can perform the flow process of step 101a to step 101b in the embodiment of the method shown in aforesaid Fig. 2, and the present embodiment does not describe in detail at this.
On the other hand, said extracted unit 54 specifically can comprise unshowned following structure in Fig. 5:
Divide module 54a, the frequency range for the environmental sound signal place obtained by above-mentioned acquiring unit 52 is divided into several frequency ranges;
Extraction module 54b, for getting rid of the frequency range at each effective sound place in the classification of above-mentioned effective sound in several frequency ranges of obtaining at above-mentioned division module 54a, and the signal extracted from above-mentioned environmental sound signal in residue frequency range is as noise signal.
Visible, here environmental sound signal frequency-division section is processed, from several frequency ranges determined, get rid of the frequency range at effective sound place, thus using the environmental sound signal in sound frequency range as noise signal.Based on this processing mode, effective sound can be retained to greatest extent in conjunction with Audio Signal Processing technology, and effectively can distinguish the noise in ambient sound, play good noise signal extraction effect.Certainly, it is less that several frequency ranges above-mentioned divide, and the extraction effect played is better, but data processing amount also can be larger thereupon, and those skilled in the art can carry out selection according to actual needs and arrange.
In addition, the active noise reducing device of the present embodiment can perform the flow process of step 104a to step 104b in the embodiment of the method shown in aforesaid Fig. 3, and the present embodiment does not describe in detail at this.
Under frequency-division section processing mode, corresponding above-mentioned generation unit 55 specifically can comprise unshowned following structure in Fig. 5:
Generation module 55a, in each frequency range in several frequency ranges of obtaining at above-mentioned division module 54a, generates and noise signal amplitude that the said extracted module 54b in this frequency range obtains and frequency is identical, phase place is contrary de-noising signal;
Laminating module 55b, superposes with source signal to be played for the de-noising signal obtained by the above-mentioned generation module 55a in all frequency ranges.
Visible, be equivalent to correspond to each frequency range here and be all provided with a switch, and the conducting of this switch is determined with the frequency range whether shutoff belongs to by corresponding frequency band the noise signal place that above-mentioned steps 104b obtains.And under switch-turn-ON states, the de-noising signal (under off state, this treatment facility does not work) that the noise signal in corresponding frequency band will be generated amplitude by the treatment facility corresponding with this frequency range and frequency is identical, phase place is contrary.Finally, only need all de-noising signals and source signal to be played to carry out superposing to play, after playing superposition, the noise in ambient sound can be offset at Ren Erchu when signal, play the effect of active noise reduction.Based on said structure, the frequency-division section process of whole steps flow chart can be realized, and according to this corresponding implement device can be set framework, be suitable for the application under each scene.
In addition, the active noise reducing device of the present embodiment can perform the flow process of step 105a to step 105b in the embodiment of the method shown in aforesaid Fig. 4, and the present embodiment does not describe in detail at this.
More specifically, Fig. 6 is the structural representation of a kind of active noise reducing device in a preferred embodiment of the present invention.See Fig. 6, in this active noise reducing device, above-mentioned acquiring unit 52 and sampling module 56 all specifically comprise same microphone (as Suo Shi " 52/57 " in Fig. 6), thus the voice signal of above-mentioned environmental sound signal and above-mentioned effective sound all can be obtained by this microphone.Be previously stored with the sample of signal of the effective sound of at least one in storage unit 51, set up unit 57 simultaneously and also can set up the sample of signal corresponding with each effective sound according to the sampled result of above-mentioned sampling unit 56, and be stored in storage unit 51.The sample of signal of the effective sound of at least one prestored in the environmental sound signal that acquiring unit 52 can obtain by comparing unit 53 and storage unit 51 compares, thus the noise signal in one or more frequency range is optionally reached generation module 55a by several switches (as " 5-1 ", " 5-2 ", " 5-3 ", " 5-4 " etc. in Fig. 6) that can control to correspond in extraction unit 54 several frequency ranges after obtaining above-mentioned similarity degree.Then some sub-generation modules (as " 6-1 ", " 6-2 ", " 6-3 ", " 6-4 " etc. in Fig. 6) in generation module 55a generate with noise signal amplitude and the de-noising signal that frequency is identical, phase place is contrary in corresponding frequency band, and input to laminating module 55b respectively.Meanwhile, source signal to be played is also inputed to laminating module 55b by source signal device 61, makes source signal to be played and all de-noising signals carry out electricity and is added, and the signal finally obtained after superposition is delivered to loudspeaker 71 and exported.Because in the sound exported, the partial sound corresponding with above-mentioned de-noising signal can be cancelled out each other with the partial sound in ambient sound, thus people just can't hear the partial sound corresponding with above-mentioned noise signal, plays the effect of active noise reduction.
Visible, this device may be used for performing any one active denoising method above-mentioned, also be the concrete example of any one active noise reducing device above-mentioned simultaneously, it can by the sample of signal of effective sound comparing environmental sound signal and preset, the noise signal not comprising effective sound is extracted according to comparing the similarity degree obtained, thus active noise reduction can be avoided the shielding of effective sound, the problem that active noise reduction can shield the effective sound in ambient sound can be solved.Certainly, those skilled in the art can also obtain other concrete embodiments on the basis of the above description, and the present invention does not limit this.
In addition, this active noise reducing device can also comprise not shown broadcast unit, and this broadcast unit is used for after described comparing unit obtains the classification of described effective sound, plays the sample of signal corresponding with the classification of described effective sound.It is relatively too small and be difficult to cause user's Attention question that this broadcast unit can solve the signal intensity of effective sound, such as source signal mainly louder volume music signal and when almost having flooded the voice signal of the alarm of fire sound in ambient sound, this broadcast unit just can cause the attention of user by the sample of signal playing the alarm of fire sound be stored in storage unit 51 to user, avoid user to lose the important information entrained by effective sound, improve the warning degree of effective sound.
It should be noted that in describing the invention, term " on ", the orientation of the instruction such as D score or position relationship be based on orientation shown in the drawings or position relationship, only the present invention for convenience of description and simplified characterization, instead of indicate or imply that the device of indication or element must have specific orientation, with specific azimuth configuration and operation, therefore can not be interpreted as limitation of the present invention.Unless otherwise clearly defined and limited, term " installation ", " being connected ", " connection " should be interpreted broadly, and such as, can be fixedly connected with, also can be removably connect, or connect integratedly; Can be mechanical connection, also can be electrical connection; Can be directly be connected, also indirectly can be connected by intermediary, can be the connection of two element internals.For the ordinary skill in the art, above-mentioned term concrete meaning in the present invention can be understood as the case may be.
Also it should be noted that, in this article, the such as relational terms of first and second grades and so on is only used for an entity or operation to separate with another entity or operational zone, and not necessarily requires or imply the relation that there is any this reality between these entities or operation or sequentially.And, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thus make to comprise the process of a series of key element, method, article or equipment and not only comprise those key elements, but also comprise other key elements clearly do not listed, or also comprise by the intrinsic key element of this process, method, article or equipment.When not more restrictions, the key element limited by statement " comprising ... ", and be not precluded within process, method, article or the equipment comprising described key element and also there is other identical element.
Above embodiment only in order to technical scheme of the present invention to be described, is not intended to limit; Although with reference to previous embodiment to invention has been detailed description, those of ordinary skill in the art is to be understood that: it still can be modified to the technical scheme described in foregoing embodiments, or carries out equivalent replacement to wherein portion of techniques feature; And these amendments or replacement, do not make the essence of appropriate technical solution depart from the spirit and scope of various embodiments of the present invention technical scheme.
Claims (10)
1. an active denoising method, is characterized in that, comprising:
Prestore the sample of signal of the effective sound of at least one;
Obtain environmental sound signal;
The sample of signal of described environmental sound signal with the effective sound of described at least one prestored is compared, is greater than the classification of effective sound of predetermined threshold value with the similarity degree obtaining all and described environmental sound signal;
From described environmental sound signal, the noise signal after getting rid of the signal corresponding with effective sound is extracted according to the classification of described effective sound;
Generate de-noising signal according to described noise signal, described de-noising signal is for offsetting the ambient sound eliminated after all effective sound.
2. method according to claim 1, is characterized in that, described in prestore the sample of signal of the effective sound of at least one, comprising:
Preset at least a kind of effectively sound;
Sound effective described in each is sampled, obtains the sample information corresponding with sound effective described in each;
Signature analysis and signal extraction are carried out to described sample information, to set up and to store the described sample of signal corresponding with sound effective described in each.
3. method according to claim 1, is characterized in that, the described classification according to described effective sound extracts the noise signal after getting rid of the signal corresponding with effective sound from described environmental sound signal, comprising:
The frequency range at described environmental sound signal place is divided into several frequency ranges;
In several frequency ranges described, get rid of the frequency range at each effective sound place in the classification of described effective sound, and the signal extracted from described environmental sound signal in residue frequency range is as noise signal.
4. method according to claim 3, is characterized in that, described according to described noise signal generation de-noising signal, described de-noising signal, for offsetting the ambient sound eliminated after all effective sound, comprising:
In each frequency range in several frequency ranges described, generate and the described noise signal amplitude in this frequency range and frequency is identical, phase place is contrary de-noising signal;
Described de-noising signal in all frequency ranges is superposed with source signal to be played.
5. an active noise reducing device, is characterized in that, comprising:
Be previously stored with the storage unit of the sample of signal of the effective sound of at least one;
Acquiring unit, for obtaining environmental sound signal;
Comparing unit, sample of signal for the effective sound of at least one prestored in the environmental sound signal that obtained by described acquiring unit and described storage unit compares, and is greater than the classification of effective sound of predetermined threshold value with the similarity degree obtaining all and described environmental sound signal;
Extraction unit, the classification for the effective sound obtained according to described comparing unit extracts the noise signal after getting rid of the signal corresponding with effective sound from the environmental sound signal that described acquiring unit obtains;
Generation unit, generate de-noising signal for the noise signal obtained according to described extraction unit, described de-noising signal is for offsetting the ambient sound eliminated after all effective sound.
6. device according to claim 5, is characterized in that, this device also comprises:
Sampling unit, for sampling to the voice signal of effective sound;
Set up unit, set up the sample of signal corresponding with sound effective described in each for the sampled result according to described sampling unit, and be stored in described storage unit.
7. device according to claim 5, is characterized in that, described extraction unit comprises:
Divide module, the frequency range for the environmental sound signal place obtained by described acquiring unit is divided into several frequency ranges;
Extraction module, for getting rid of the frequency range at each effective sound place in the classification of described effective sound in several frequency ranges of obtaining in described division module, and the signal extracted from described environmental sound signal in residue frequency range is as noise signal.
8. device according to claim 7, is characterized in that, described generation unit comprises:
Generation module, in each frequency range in several frequency ranges of obtaining in described division module, generates and noise signal amplitude that the described extraction module in this frequency range obtains and frequency is identical, phase place is contrary de-noising signal;
Laminating module, superposes with source signal to be played for the de-noising signal obtained by the described generation module in all frequency ranges.
9. according to the device in claim 5 to 8 described in any one, it is characterized in that, described active noise reducing device also comprises broadcast unit, this broadcast unit is used for after described comparing unit obtains the classification of described effective sound, plays the sample of signal corresponding with the classification of described effective sound.
10. according to the device in claim 5 to 8 described in any one, it is characterized in that, described effective sound comprises following one or more: doorbell sound, tap-tap, alarm of fire sound, vagitus, telephone bell, electrical equipment chimes of doom, vehicle whistle sound, subway are called out the stops sound.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105304077A (en) * | 2015-09-22 | 2016-02-03 | 广东欧珀移动通信有限公司 | Acoustic treatment method and apparatus |
| CN105719657A (en) * | 2016-02-23 | 2016-06-29 | 惠州市德赛西威汽车电子股份有限公司 | Human voice extracting method and device based on microphone |
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| CN106453760A (en) * | 2016-10-11 | 2017-02-22 | 努比亚技术有限公司 | Method for improving environmental noise and terminal |
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Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020141599A1 (en) * | 2001-04-03 | 2002-10-03 | Philips Electronics North America Corp. | Active noise canceling headset and devices with selective noise suppression |
| CN101401399A (en) * | 2006-03-08 | 2009-04-01 | 索尼爱立信移动通讯有限公司 | Headset with ambient sound |
| CN101432798A (en) * | 2006-04-26 | 2009-05-13 | 伯斯有限公司 | Communicating with active noise reducing headset |
| CN101496384A (en) * | 2006-07-28 | 2009-07-29 | 索尼爱立信移动通讯股份有限公司 | System and method for noise canceling in a portable mobile communication device coupled with a headset assembly and corresponding computer program product |
| CN102209987A (en) * | 2008-11-24 | 2011-10-05 | 高通股份有限公司 | Systems, methods, apparatus, and computer program products for enhanced active noise cancellation |
| CN102481878A (en) * | 2009-09-10 | 2012-05-30 | 先锋株式会社 | Noise reduction device |
| CN102870154A (en) * | 2010-06-04 | 2013-01-09 | 苹果公司 | Active noise cancellation decisions in a portable audio device |
| CN202841468U (en) * | 2012-09-28 | 2013-03-27 | 安百特半导体有限公司 | Bluetooth earphone with hearing-aid and anti-noise functions |
| CN103139688A (en) * | 2013-02-27 | 2013-06-05 | 广州市天艺电子有限公司 | Method, device and hearing-aid for eliminating environmental noise |
| CN103262570A (en) * | 2010-12-16 | 2013-08-21 | 英特尔公司 | Adaptive noise cancellation |
| CN103606372A (en) * | 2013-11-08 | 2014-02-26 | 四川长虹电器股份有限公司 | Noise eliminating method based on intelligent home furnishing and system thereof |
| CN104303227A (en) * | 2012-03-26 | 2015-01-21 | 弗朗霍夫应用科学研究促进协会 | Apparatus and method for improving the perceived quality of sound reproduction by combining active noise cancellation and perceptual noise compensation |
-
2015
- 2015-01-27 CN CN201510041213.3A patent/CN104616662A/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020141599A1 (en) * | 2001-04-03 | 2002-10-03 | Philips Electronics North America Corp. | Active noise canceling headset and devices with selective noise suppression |
| CN101401399A (en) * | 2006-03-08 | 2009-04-01 | 索尼爱立信移动通讯有限公司 | Headset with ambient sound |
| CN101432798A (en) * | 2006-04-26 | 2009-05-13 | 伯斯有限公司 | Communicating with active noise reducing headset |
| CN101496384A (en) * | 2006-07-28 | 2009-07-29 | 索尼爱立信移动通讯股份有限公司 | System and method for noise canceling in a portable mobile communication device coupled with a headset assembly and corresponding computer program product |
| CN102209987A (en) * | 2008-11-24 | 2011-10-05 | 高通股份有限公司 | Systems, methods, apparatus, and computer program products for enhanced active noise cancellation |
| CN102481878A (en) * | 2009-09-10 | 2012-05-30 | 先锋株式会社 | Noise reduction device |
| CN102870154A (en) * | 2010-06-04 | 2013-01-09 | 苹果公司 | Active noise cancellation decisions in a portable audio device |
| CN103262570A (en) * | 2010-12-16 | 2013-08-21 | 英特尔公司 | Adaptive noise cancellation |
| CN104303227A (en) * | 2012-03-26 | 2015-01-21 | 弗朗霍夫应用科学研究促进协会 | Apparatus and method for improving the perceived quality of sound reproduction by combining active noise cancellation and perceptual noise compensation |
| CN202841468U (en) * | 2012-09-28 | 2013-03-27 | 安百特半导体有限公司 | Bluetooth earphone with hearing-aid and anti-noise functions |
| CN103139688A (en) * | 2013-02-27 | 2013-06-05 | 广州市天艺电子有限公司 | Method, device and hearing-aid for eliminating environmental noise |
| CN103606372A (en) * | 2013-11-08 | 2014-02-26 | 四川长虹电器股份有限公司 | Noise eliminating method based on intelligent home furnishing and system thereof |
Cited By (37)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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| US11087734B1 (en) | 2017-10-27 | 2021-08-10 | Byd Company Limited | Active noise reduction method, system, and new energy vehicle |
| CN109720288A (en) * | 2017-10-27 | 2019-05-07 | 比亚迪股份有限公司 | A kind of active denoising method, system and new energy vehicle |
| CN109720288B (en) * | 2017-10-27 | 2019-11-22 | 比亚迪股份有限公司 | A kind of active denoising method, system and new energy vehicle |
| CN108257617A (en) * | 2018-01-11 | 2018-07-06 | 会听声学科技（北京）有限公司 | A kind of noise scenarios identifying system and method |
| US11328705B2 (en) | 2018-05-04 | 2022-05-10 | Goertek Technology Co., Ltd. | Noise-reduction processing method and device, and earphones |
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