CN204119309U - A kind of mobile phone estimating adjustment In Call automatically based on noise - Google Patents
A kind of mobile phone estimating adjustment In Call automatically based on noise Download PDFInfo
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- CN204119309U CN204119309U CN201420550786.XU CN201420550786U CN204119309U CN 204119309 U CN204119309 U CN 204119309U CN 201420550786 U CN201420550786 U CN 201420550786U CN 204119309 U CN204119309 U CN 204119309U
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Abstract
A kind of mobile phone estimating adjustment In Call automatically based on noise, comprise Speech input module, noise estimation module, audio frequency control module, audio amplification block and sound output module, described Speech input module comprises mobile phone microphone, and Speech input module is connected with noise estimation module; Described noise estimation module is connected with audio amplification block by audio frequency control module; Described audio amplification block connects with voice output module; Described voice output module comprises earpiece; Described noise estimation module carries out noise estimation by signal to noise ratio or difference power; The mobile phone of adjustment In Call automatically should be estimated based on noise, by carrying out noise estimation to the audio signal received, then being exported by receiver after amplifying, automatic regulating volume, effectively preventing noise on the impact of call; The utility model is provided with noise-stop device in the reception of voice, and the convenient noise that effectively prevents is on the impact of call.
Description
Technical field
The utility model relates to field of mobile phones, especially a kind of mobile phone estimating adjustment In Call automatically based on noise.
Background technology
In daily life, more noisy noisy call environment, can have a strong impact on the communication effect of phone, the factor affecting speech quality mainly receiver to be transferred to the sound of recipient less, the powerful background sound in received side flooded; As the noises such as the music of KTV, the sound of crowd and mechanical shock sound all can have influence on speech quality; For the factor affecting speech quality, mobile phone loudspeaker (application number: 200810207501.1) be widely used.Above-mentioned mobile phone loudspeaker can improve the little and speech quality in the larger situation of background noise of earpiece sound, and its deficiency existed needs manually by key control receiver broadcast sound volume size, there is inconvenience; Therefore how the speech quality of convenient effective raising under strong noisy environment is urgent problem.
Utility model content
The utility model aims to provide a kind of mobile phone estimating adjustment In Call automatically based on noise of effective noise control.
For achieving the above object, the utility model provides following technical scheme: a kind of mobile phone estimating adjustment In Call automatically based on noise, comprise Speech input module, noise estimation module, audio frequency control module, audio amplification block and sound output module, described Speech input module comprises mobile phone microphone, and Speech input module is connected with noise estimation module; Described noise estimation module is connected with audio amplification block by audio frequency control module; Described audio amplification block connects with voice output module; Described voice output module comprises earpiece; Described noise estimation module carries out noise estimation by signal to noise ratio.
Preferably, described noise estimation module carries out noise estimation by difference power.
Preferably, described audio frequency control module can be set to hardware module or software module.
Preferably, described noise estimation module by sampling unit, sound template, signal-to-noise ratio (SNR) estimation unit forms or sampling unit, Fourier transformation unit, power spectrum unit form.
Compared with prior art, the beneficial effects of the utility model are: the mobile phone should estimating adjustment In Call automatically based on noise, by carrying out noise estimation to the audio signal received, is then exported by receiver after amplifying, automatic regulating volume, effectively prevents noise on the impact of call; The utility model is provided with noise-stop device in the reception of voice, and the convenient noise that effectively prevents is on the impact of call.
Accompanying drawing explanation
Fig. 1 is the workflow diagram receiving denoising device;
Fig. 2 is the fundamental diagram of audio frequency control module;
Fig. 3 is the workflow diagram of embodiment one noise estimation module;
Fig. 4 is the workflow diagram of embodiment two noise estimation module.
Embodiment
Below in conjunction with the accompanying drawing in the utility model embodiment, be clearly and completely described the technical scheme in the utility model embodiment, obviously, described embodiment is only the utility model part embodiment, instead of whole embodiments.Based on the embodiment in the utility model, those of ordinary skill in the art are not making the every other embodiment obtained under creative work prerequisite, all belong to the scope of the utility model protection.
Embodiment one
Refer to Fig. 1-3, in the utility model embodiment, a kind of mobile phone estimating adjustment In Call automatically based on noise, comprise Speech input module 1, noise estimation module 2, audio frequency control module 3, audio amplification block 4 and sound output module 5, described Speech input module 1 comprises mobile phone microphone, microphone not only gathers the voice signal of cellie, gathers the noise of current environment simultaneously, and Speech input module 1 is connected with noise estimation module 2; Described noise estimation module 2 is connected with audio amplification block 4 by audio frequency control module 3; Described audio amplification block 4 connects with voice output module 5; Described voice output module 5 comprises earpiece, for exporting sound after treatment; Described Speech input module 1 can the speech simulation data of sample user, and send noise estimation module 2 to as the sound template in noiselessness situation; The audio signal collected is sent to noise estimation module 2 by described Speech input module 1, and audio signal and sound template are compared by noise estimation module 2, obtains noise estimated result; Audio frequency control module 3 receives noise estimated result, and audio frequency control module 3 is amplification coefficients that the noise profile situation estimated according to noise estimation module 2 determines the audio signal received, and the noise of estimation is stronger, and its amplification coefficient is larger, thus improves communication effect; Audio amplification block 4 is for amplifying the audio signal collected, and its amplification coefficient is determined by audio frequency control module 3, and the audio signal after amplification is sent to voice output module 5, is play by voice output module 5; Described audio frequency control module 3 can be set to hardware module or software module, when audio frequency control module 3 is as a hardware module, using the output of tone decoding module as input, after regulating its size, export to D/A converter module, when audio frequency control module 3 is as a software module, the position in the middle of digital-to-analogue conversion and receiver, after regulating D/A converter module to export the size of data, then export to receiver by D/A converter module.
Described noise estimation module 2 carries out noise estimation by signal to noise ratio, and it forms primarily of sampling unit, sound template and signal-to-noise ratio (SNR) estimation unit; Rise at a moment that mobile phone communication is connected and start to record next section voice signal identical with audio signal template duration, after carrying out discrete sampling for this signal, compare with voice signal template, calculate the signal to noise ratio under current environment, computing formula is as follows:
Wherein
for voice signal template,
for the voice signal under current environment.
Voice signal amplifying circuit is divided into N number of grade according to amplification coefficient size, be respectively 1 grade, 2 grades ... N shelves, its amplification coefficient is expressed as P1, P2, P3 ..., PN, wherein gear is higher, represents that voice signal amplification coefficient is larger.The signal to noise ratio calculated under supposing current environment is SNR, determines shown in the following formula of amplification coefficient method according to this:
Embodiment two
Refer to Fig. 4, noise estimation module 2 carries out noise estimation by difference power, Fourier transform is carried out to the audio digital signals after discrete sampling, then asks for real part and the imaginary part of frequency-region signal frequency spectrum, the power spectrum square being this voice signal square adding imaginary part of real part.It is primarily of employing unit, Fourier transformation unit, spectra calculation unit composition.
Voice signal amplifying circuit is divided into N number of grade according to amplification coefficient size, be respectively 1 grade, 2 grades ... N shelves, its amplification coefficient is expressed as P1, P2, P3 ..., PN, wherein gear is higher, represents that voice signal amplification coefficient is larger.By comparing the watt level difference estimation noise of template signal and current speech signal.Power difference is larger, represents that noise is larger, otherwise less.The power supposing voice signal template is PT, and under current environment, voice signal power is PI, then according to voice signal power determination amplification coefficient mode as shown by the equation:
Wherein NT1, NT2 ..., NTN is each grade noise threshold of definition.
To those skilled in the art, obvious the utility model is not limited to the details of above-mentioned one exemplary embodiment, and when not deviating from spirit of the present utility model or essential characteristic, can realize the utility model in other specific forms.Therefore, no matter from which point, all should embodiment be regarded as exemplary, and be nonrestrictive, scope of the present utility model is limited by claims instead of above-mentioned explanation, and all changes be therefore intended in the implication of the equivalency by dropping on claim and scope are included in the utility model.Any Reference numeral in claim should be considered as the claim involved by limiting.
Noise estimation module is formed by sampling unit, sound template, signal-to-noise ratio (SNR) estimation unit or is adopted unit, Fourier transformation unit, spectra calculation unit to form.Last embodiment can according to last hardware case two scheme parallel or choosing wherein most matching scheme implement.
In addition, be to be understood that, although this specification is described according to execution mode, but not each execution mode only comprises an independently technical scheme, this narrating mode of specification is only for clarity sake, those skilled in the art should by specification integrally, and the technical scheme in each embodiment also through appropriately combined, can form other execution modes that it will be appreciated by those skilled in the art that.
Claims (4)
1. estimate the mobile phone of adjustment In Call automatically based on noise for one kind, comprise Speech input module (1), noise estimation module (2), audio frequency control module (3), audio amplification block (4) and sound output module (5), it is characterized in that, described Speech input module (1) comprises mobile phone microphone, and Speech input module (1) is connected with noise estimation module (2); Described noise estimation module (2) is connected with audio amplification block (4) by audio frequency control module (3); Described audio amplification block (4) connects with voice output module (5); Described voice output module (5) comprises earpiece; Described noise estimation module (2) carries out noise estimation by signal to noise ratio.
2. a kind of mobile phone estimating adjustment In Call automatically based on noise according to claim 1, it is characterized in that, described noise estimation module (2) carries out noise estimation by difference power or signal to noise ratio.
3. a kind of mobile phone estimating adjustment In Call automatically based on noise according to claim 1, it is characterized in that, described audio frequency control module (3) can be set to hardware module or software module.
4. a kind of mobile phone estimating adjustment In Call automatically based on noise according to claim 1, it is characterized in that, described noise estimation module (2) by sampling unit, sound template, signal-to-noise ratio (SNR) estimation unit forms or sampling unit, Fourier transformation unit, power spectrum unit form.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105635453A (en) * | 2015-12-28 | 2016-06-01 | 上海博泰悦臻网络技术服务有限公司 | Conversation volume automatic adjusting method and system, vehicle-mounted device, and automobile |
| CN111049972A (en) * | 2019-11-20 | 2020-04-21 | 维沃移动通信有限公司 | Audio playing method and terminal equipment |
| CN112235462A (en) * | 2020-10-14 | 2021-01-15 | 展讯通信（上海）有限公司 | Voice adjusting method, system, electronic equipment and computer readable storage medium |
-
2014
- 2014-09-24 CN CN201420550786.XU patent/CN204119309U/en not_active Expired - Fee Related
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105635453A (en) * | 2015-12-28 | 2016-06-01 | 上海博泰悦臻网络技术服务有限公司 | Conversation volume automatic adjusting method and system, vehicle-mounted device, and automobile |
| CN111049972A (en) * | 2019-11-20 | 2020-04-21 | 维沃移动通信有限公司 | Audio playing method and terminal equipment |
| CN111049972B (en) * | 2019-11-20 | 2021-04-27 | 维沃移动通信有限公司 | Audio playing method and terminal equipment |
| CN112235462A (en) * | 2020-10-14 | 2021-01-15 | 展讯通信（上海）有限公司 | Voice adjusting method, system, electronic equipment and computer readable storage medium |
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