CN111510559B - Method for adaptively adjusting sound magnitude of caller according to environment noise amplitude and caller sound frequency - Google Patents
Method for adaptively adjusting sound magnitude of caller according to environment noise amplitude and caller sound frequency Download PDFInfo
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- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
- H04M1/72454—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to context-related or environment-related conditions
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Abstract
In view of the above-mentioned drawbacks in the prior art, the present invention detects the amplitude of the ambient noise around the current listener through the handset microphone, detects the amplitude of the sound of the current caller according to the amplitude detection unit, detects the level of the sound frequency of the current caller according to the frequency detection unit, and amplifies or reduces the sound of the caller with different sound frequencies and sound amplitudes by different times when the ambient noise is determined. When the size of the ambient noise around the receiver changes, the amplification or reduction factor of the sound of the caller changes along with the change of the ambient noise, and the sound of the caller is heard by the receiver through self-adaptive adjustment of the amplification factor of the sound of the caller. The method and the device not only ensure the call quality during answering, but also avoid the trouble of back and forth volume adjustment of the user, and greatly improve the experience of the user.
Description
Technical Field
The invention relates to the technical field of mobile phones, in particular to a method for adaptively adjusting the sound size of a caller according to the environmental noise amplitude and the sound frequency of the caller.
Background
When a user makes or receives a call in life, the prior art has the following defects.
When the ambient noise around the user is large and the voice of the caller is small, the user often cannot hear the voice of the caller easily, at this time, the user generally chooses to turn the volume of the mobile phone large, and then presses the mobile phone close to the ear of the user.
When the ambient noise around us is small, the speaking voice of a caller is large, which causes discomfort, and generally, the user can select to turn down the volume of the mobile phone or move the mobile phone away from ears of the user.
The prior art can not effectively detect the environmental noise when people answer the call, can not automatically adjust the sound size of the caller according to the current environmental noise, and can not adaptively adjust the sound size of the caller according to the speaking sound frequency and the sound amplitude of the caller.
Disclosure of Invention
In view of the above-mentioned drawbacks in the prior art, the present invention detects the amplitude of the ambient noise around the current listener through the handset microphone, detects the amplitude of the sound of the current caller according to the amplitude detection unit, detects the level of the sound frequency of the current caller according to the frequency detection unit, and amplifies or reduces the sound of the caller with different sound frequencies and sound amplitudes by different times when the ambient noise is determined.
When the size of the ambient noise around the receiver changes, the amplification or reduction factor of the sound of the caller changes along with the change of the ambient noise, and the sound of the caller is heard by the receiver through self-adaptive adjustment of the amplification factor of the sound of the caller. The method and the device not only ensure the call quality during answering, but also avoid the trouble of back and forth volume adjustment of the user, and greatly improve the experience of the user.
The invention is realized by adopting the following technical scheme, and the method for adaptively adjusting the sound size of the caller according to the environmental noise amplitude and the sound frequency of the caller is designed according to the purpose as follows.
After answering the call, the mobile phone microphone of the receiver detects the current environmental noise and determines the environmental noise amplitude value.
The condition when the mobile phone microphone detects the current environmental noise is as follows: when the recipient is not speaking, when the caller is speaking, or when neither the recipient nor the caller is speaking.
When a user uses a mobile phone to talk, in order to avoid the microphone of the mobile phone from inputting the voice of a receiver as environmental noise, the microphone of the mobile phone does not detect the environmental noise during the speaking period of the receiver.
In another aspect, the handset microphone detects the listener's current ambient noise only during periods when the caller is speaking or during periods when neither the listener nor the caller is speaking.
The mobile phone microphone continuously samples the current environmental noise of a listener and only averages the environmental noise amplitude value sampled for the last time or multiple times.
After answering the call, the digital baseband chip of the mobile phone of the receiver demodulates the received code element according to the wireless communication protocol, and then decodes the code element according to the transmission format to obtain a digital voice signal.
At the moment, the frequency detection unit detects the sound frequency in the digital voice signal of the current caller so as to determine the sound frequency value when the caller speaks; the amplitude detection unit detects the magnitude of the sound amplitude in the digital voice signal of the current caller so as to determine the sound amplitude value when the caller speaks.
The frequency detection unit continuously samples the sound frequency in the current caller digital voice signal and only averages the sound frequency value sampled for the last time or a plurality of times.
The amplitude detection unit continuously samples the sound amplitude in the current caller digital voice signal and only averages the sound amplitude values sampled for the last time or multiple times.
Then, determining the optimal sound amplitude value according to the current environment noise amplitude value and the sound frequency value of the caller, and searching and matching: and obtaining the current environmental noise amplitude value and the optimal sound amplitude value corresponding to the caller sound frequency value according to the data in the environmental noise amplitude value-caller sound frequency value-optimal sound amplitude value comparison table.
And the environment noise amplitude value-caller sound frequency value-optimal sound amplitude value comparison table corresponds to different optimal sound amplitude values for different environment noise amplitude values and caller sound frequency values.
Then, an optimal sound amplitude magnification is determined based on the optimal sound amplitude value and the current caller sound amplitude value.
Optimal sound amplitude amplification factor: optimal sound amplitude magnification = optimal sound amplitude value/caller sound amplitude value.
Then, the digital voice signal of the caller is amplified to obtain the final digital voice signal.
Final digital speech signal: final digital speech signal = caller's digital speech signal x optimal sound amplitude amplification.
The relationship among the environmental noise amplitude value, the caller sound frequency value, the optimal sound amplitude value and the optimal sound amplitude magnification is as follows.
Under the condition that the environmental noise amplitude values are the same, the higher the voice frequency value of the caller is, the smaller the optimal voice amplitude value is, and the smaller the amplification factor of the optimal voice amplitude is; under the condition that the environmental noise amplitude values are the same, the lower the voice frequency value of the caller is, the larger the optimal voice amplitude value is, and the larger the amplification factor of the optimal voice amplitude is; under the condition that the voice frequency values of the caller are the same, the larger the environmental noise amplitude value is, the larger the optimal voice amplitude value is, and the larger the amplification factor of the optimal voice amplitude is; under the condition that the caller sound frequency values are the same, the smaller the environmental noise amplitude value is, the smaller the optimal sound amplitude value is, and the smaller the optimal sound amplitude amplification factor is.
Then, the final digital voice signal is subjected to digital-to-analog conversion to obtain an analog signal.
Then, the speaker or earphone in the receiver's handset plays the amplified sound of the caller.
Then, continuously and circularly adjusting the optimal sound amplitude amplification factor to realize self-adaptation! That is, the optimum sound amplitude magnification varies with the current environmental noise amplitude value, caller sound amplitude value, and caller sound frequency value.
Therefore, the listener can hear the voice and the speaking content of the caller by adaptively adjusting the optimal voice amplitude amplification factor. The method not only ensures the call quality during answering, but also avoids the trouble of the user in adjusting the volume back and forth.
The program flow of the invention in operation is as follows.
Step S11: after answering the call, the digital baseband chip of the mobile phone of the receiver demodulates the received code element according to the wireless communication protocol, and then decodes the code element according to the transmission format to obtain a digital voice signal.
Step S12: the frequency detection unit continuously samples the sound frequency in the current caller digital voice signal and only averages the sound frequency value sampled for the last time or a plurality of times.
Step S13: the amplitude detection unit continuously samples the sound amplitude in the current caller digital voice signal and only averages the sound amplitude values sampled for the last time or a plurality of times.
Step S14: the receiver's handset microphone continuously samples the current ambient noise and only averages the most recently sampled ambient noise amplitude values. The microphone detects the listener's current ambient noise only during periods when the caller is speaking or during periods when neither the listener nor the caller is speaking.
Step S15: by finding and matching: and obtaining the current environmental noise amplitude value and the optimal sound amplitude value corresponding to the caller sound frequency value according to the data in the environmental noise amplitude value-caller sound frequency value-optimal sound amplitude value comparison table.
Step S16: and determining the optimal sound amplitude amplification factor according to the optimal sound amplitude value and the current caller sound amplitude value.
Optimal sound amplitude amplification factor: optimal sound amplitude magnification = optimal sound amplitude value/caller sound amplitude value.
The relationship among the environmental noise amplitude value, the caller sound frequency value, the optimal sound amplitude value and the optimal sound amplitude magnification is as follows.
Under the condition that the environmental noise amplitude values are the same, the higher the voice frequency value of the caller is, the smaller the optimal voice amplitude value is, and the smaller the amplification factor of the optimal voice amplitude is; under the condition that the environmental noise amplitude values are the same, the lower the voice frequency value of the caller is, the larger the optimal voice amplitude value is, and the larger the amplification factor of the optimal voice amplitude is; under the condition that the voice frequency values of the caller are the same, the larger the environmental noise amplitude value is, the larger the optimal voice amplitude value is, and the larger the amplification factor of the optimal voice amplitude is; under the condition that the caller sound frequency values are the same, the smaller the environmental noise amplitude value is, the smaller the optimal sound amplitude value is, and the smaller the optimal sound amplitude amplification factor is.
Step S17: and amplifying the digital voice signal of the caller to obtain a final digital voice signal.
Final digital speech signal: final digital speech signal = caller's digital speech signal x optimal sound amplitude amplification.
Step S18: the final digital voice signal is converted into an analog signal through digital-to-analog conversion, and a loudspeaker or an earphone in the mobile phone of the receiver plays the amplified voice of the caller.
Step S19: continuously and circularly adjusting the optimal sound amplitude amplification factor to realize self-adaptation! That is, the optimum sound amplitude magnification varies with the current environmental noise amplitude value, caller sound amplitude value, and caller sound frequency value.
Drawings
FIG. 1 is a flowchart of the process of the present invention.
Detailed Description
The invention is further illustrated with reference to the accompanying drawings and specific examples.
A first embodiment.
Scenario 1.
Supposing that the boy A answers the call of the boy B on a noisy street, when the boy A does not speak or both the boy A and the boy B do not speak, the mobile phone microphone of the boy A detects the magnitude of the environmental noise amplitude of the current street in real time, samples are continuously taken, and the average value of the environmental noise amplitude values sampled for the last time or a plurality of times is taken.
The digital baseband chip in the boy B mobile phone demodulates the received code element sent by the boy B mobile phone according to a wireless communication protocol, and then decodes the code element in real time according to a transmission format to obtain a digital voice signal sent by the boy B mobile phone.
At the moment, a frequency detection unit in the boy A mobile phone detects the sound frequency in the digital voice signal sent by the boy B mobile phone in real time so as to determine the sound frequency value when the boy B speaks; the amplitude detection unit in the boy A mobile phone detects the magnitude of the sound amplitude in the digital voice signal sent by the boy B mobile phone in real time, so that the sound amplitude value when the boy B speaks is determined.
The frequency detection unit in the mobile phone of the boy A continuously samples the sound frequency in the digital voice signal sent by the mobile phone of the boy B and only averages the sound frequency value sampled for the last time or a plurality of times.
The amplitude detection unit in the mobile phone of boy A continuously samples the sound amplitude in the digital voice signal sent by the mobile phone of boy B and only averages the sound amplitude value sampled for the last time or a plurality of times.
Then, determining an optimal sound amplitude value according to the environmental noise amplitude value of the street where the boy A is located and the sound frequency value in the digital voice signal sent by the mobile phone of the boy B, and searching and matching through a program in the mobile phone of the boy A: and obtaining the environmental noise amplitude value of the street where the boy A is located and the optimal sound amplitude value corresponding to the sound frequency value when the boy B speaks according to the environmental noise amplitude value, the caller sound frequency value and the data in the optimal sound amplitude value comparison table.
Then, the mobile phone of the boy student A processes the obtained data, and determines the optimal sound amplitude amplification factor according to the optimal sound amplitude value and the sound amplitude value when the boy student B speaks.
Optimal sound amplitude amplification factor: optimal sound amplitude magnification = optimal sound amplitude value/sound amplitude value of boy B.
Then, the mobile phone of boy student A amplifies the digital voice signal of boy student B to obtain the final digital voice signal.
Final digital speech signal: final digital speech signal = boy B digital speech signal x optimal sound amplitude amplification.
Then, the final digital voice signal is subjected to digital-to-analog conversion to obtain an analog signal.
Then, the speaker or earphone in the mobile phone of boy A plays the amplified sound of boy B.
Then, the mobile phone of the boy A continuously and circularly processes and adjusts the optimal sound amplitude amplification factor, so that the boy A can hear the sound and the speaking content of the boy B clearly by adaptively adjusting the optimal sound amplitude amplification factor. The method not only ensures the call quality during answering, but also avoids the trouble of adjusting the volume back and forth.
A second embodiment.
Supposing that boy A answers the call of boy B on a noisy street, when boy A does not speak or both boy A and boy B do not speak, the microphone of the mobile phone of boy A detects that the environmental noise amplitude value of the current street is large, the amplitude detection unit in the mobile phone of boy A detects that the sound amplitude value of boy B is small, the frequency detection unit in the mobile phone of boy A detects that the sound frequency value of boy B is low, and at the moment, the mobile phone of boy A automatically searches: determining the optimal sound amplitude value according to the data in the comparison table of the environmental noise amplitude value, the caller sound frequency value and the optimal sound amplitude value, and according to the formula: optimal sound amplitude magnification = optimal sound amplitude value/sound amplitude value of boy B calculated optimal sound amplitude magnification. At this time, the mobile phone of boy A amplifies the voice of boy B in the process of communication, so that boy A can hear the voice and the speaking content of boy B clearly.
In the process of communicating with a boy B, the boy A walks into a quiet room from a noisy street, at the moment, the room where the boy A is located is quiet, the environmental noise amplitude value is reduced, the size of the voice amplitude value and the voice frequency value of the boy B speaking are not changed, at the moment, the mobile phone of the boy A automatically searches: determining the optimal sound amplitude value according to the data in the comparison table of the environmental noise amplitude value, the caller sound frequency value and the optimal sound amplitude value, and according to the formula: optimal sound amplitude magnification = optimal sound amplitude value/boy B sound amplitude value, a new optimal sound amplitude magnification is calculated. At this time, the mobile phone of boy a performs amplitude reduction processing on the voice of boy B during the call, so that the voice of boy B is not heard as loud.
When the ambient noise around the mobile phone of the boy student A changes, the mobile phone of the boy student A performs self-adaptive amplification or reduction processing on the sound amplitude of the boy student B in the conversation process, so that the boy student A can hear the sound and the speaking content of the boy student B clearly.
When the boy A finishes the indoor conversation with the boy B, the boy A answers the call of the girl C indoors.
If the voice of the girl C is large and the voice frequency value is high, the indoor place where the boy A is located is quiet, and the environmental noise amplitude value is small, at the moment, the mobile phone of the boy A automatically searches: determining the optimal sound amplitude value according to the data in the comparison table of the environmental noise amplitude value, the caller sound frequency value and the optimal sound amplitude value, and according to the formula: optimal sound amplitude magnification = optimal sound amplitude value/sound amplitude value of girl C, a new optimal sound amplitude magnification is calculated. At this time, the mobile phone of boy a reduces the voice of girl C during the call, so that the voice of girl C is not very loud.
The sound of a boy is generally low, the sound frequency value is low, the sound of a girl is generally sharp, the sound frequency value is high relative to that of the boy, the sound penetration capacity of the girl is higher in the environment with the same noise amplitude value, people can clearly hear the sound of the girl, and therefore the sound amplification factor of the girl with the high sound frequency value is smaller than that of the girl with the low sound frequency value in the environment with the same noise amplitude value.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention; all equivalent changes and modifications made according to the present invention are covered by the scope of the claims of the present invention.
Claims (3)
1. A method for adaptively adjusting the magnitude of a caller's voice based on the magnitude of ambient noise and the frequency of the caller's voice, the method comprising the steps of:
step S11: after answering the call, the digital baseband chip of the mobile phone of the receiver demodulates the received code element according to the wireless communication protocol, and then decodes according to the transmission format to obtain a digital voice signal;
step S12: the frequency detection unit continuously samples the sound frequency in the current caller digital voice signal and only averages the sound frequency value sampled for the last time or multiple times;
step S13: the amplitude detection unit continuously samples the sound amplitude in the current caller digital voice signal and only averages the sound amplitude values sampled for the last time or multiple times;
step S14: continuously sampling the current environmental noise by a mobile phone microphone of a listener and only averaging the environmental noise amplitude value sampled for the last time or a plurality of times;
step S15: by finding and matching: obtaining the current environmental noise amplitude value and the optimal sound amplitude value corresponding to the caller sound frequency value according to the data in the environmental noise amplitude value-caller sound frequency value-optimal sound amplitude value comparison table;
step S16: determining the optimal sound amplitude amplification factor according to the optimal sound amplitude value and the current caller sound amplitude value;
optimal sound amplitude amplification factor: optimal sound amplitude magnification = optimal sound amplitude value/caller sound amplitude value;
step S17: amplifying the digital voice signal of the caller to obtain a final digital voice signal; final digital speech signal: final digital speech signal = caller's digital speech signal x optimal sound amplitude amplification;
step S18: the final digital voice signal is converted by digital-to-analog to obtain an analog signal, and a loudspeaker or an earphone in the mobile phone of the receiver plays the amplified voice of the caller;
step S19: continuously and circularly adjusting the optimal sound amplitude amplification factor to realize self-adaptation, namely the optimal sound amplitude amplification factor changes along with the change of the current environmental noise amplitude value, the caller sound amplitude value and the caller sound frequency value;
the microphone detects the listener's current ambient noise only during periods when the caller is speaking or during periods when neither the listener nor the caller is speaking.
2. The method of claim 1 wherein the relationship between the ambient noise amplitude value, the caller sound frequency value, the optimal sound amplitude value and the optimal sound amplitude magnification is four:
under the condition that the environmental noise amplitude values are the same, the higher the voice frequency value of the caller is, the smaller the optimal voice amplitude value is, and the smaller the amplification factor of the optimal voice amplitude is; under the condition that the environmental noise amplitude values are the same, the lower the voice frequency value of the caller is, the larger the optimal voice amplitude value is, and the larger the amplification factor of the optimal voice amplitude is;
under the condition that the voice frequency values of the caller are the same, the larger the environmental noise amplitude value is, the larger the optimal voice amplitude value is, and the larger the amplification factor of the optimal voice amplitude is; under the condition that the caller sound frequency values are the same, the smaller the environmental noise amplitude value is, the smaller the optimal sound amplitude value is, and the smaller the optimal sound amplitude amplification factor is.
3. The method of adaptively adjusting the magnitude of a caller's voice according to the magnitude of ambient noise and the frequency of the caller's voice as claimed in claim 1, wherein: and the environment noise amplitude value-caller sound frequency value-optimal sound amplitude value comparison table corresponds to different optimal sound amplitude values for different environment noise amplitude values and caller sound frequency values.
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Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101437065A (en) * | 2007-11-13 | 2009-05-20 | 索尼爱立信移动通信日本株式会社 | Audio signal processing apparatus, audio signal processing method, and communication terminal |
| CN101740036A (en) * | 2009-12-14 | 2010-06-16 | 深圳华为通信技术有限公司 | Method and device for automatically adjusting call volume |
| CN102413218A (en) * | 2011-08-03 | 2012-04-11 | 宇龙计算机通信科技(深圳)有限公司 | Method, device and communication terminal for automatically adjusting speaking tone |
| CN202889458U (en) * | 2012-11-02 | 2013-04-17 | 姚西 | Automatic call volume regulation mobile phone based on environmental noise |
| CN104780259A (en) * | 2014-01-14 | 2015-07-15 | 深圳富泰宏精密工业有限公司 | Automatic adjustment system and method for call voice quality |
| CN105592222A (en) * | 2015-12-22 | 2016-05-18 | 努比亚技术有限公司 | Device and method for automatically adjusting volume of terminal |
| CN105812581A (en) * | 2016-05-12 | 2016-07-27 | 乐视控股（北京）有限公司 | Volume automatic adjustment method and device |
| CN106534563A (en) * | 2016-11-29 | 2017-03-22 | 努比亚技术有限公司 | Sound adjusting method and device and terminal |
| CN107277207A (en) * | 2017-07-14 | 2017-10-20 | 广东欧珀移动通信有限公司 | Adaptive call method, device, mobile terminal and storage medium |
| CN108647005A (en) * | 2018-05-15 | 2018-10-12 | 努比亚技术有限公司 | Audio frequency playing method, mobile terminal and computer readable storage medium |
| CN109918039A (en) * | 2019-02-21 | 2019-06-21 | 维沃移动通信有限公司 | A kind of volume adjusting method and mobile terminal |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101883164A (en) * | 2010-06-29 | 2010-11-10 | 瑞声声学科技(深圳)有限公司 | Adaptive volume gain device and method |
| CN101917656A (en) * | 2010-08-30 | 2010-12-15 | 鸿富锦精密工业（深圳）有限公司 | Automatic volume adjustment device and method |
| CN103915103B (en) * | 2014-04-15 | 2017-04-19 | 成都凌天科创信息技术有限责任公司 | Voice quality enhancement system |
| KR101640055B1 (en) * | 2014-12-09 | 2016-07-18 | 현대자동차주식회사 | Terminal, audio device communicating with the terminal and vehicle |
| CN105791530B (en) * | 2014-12-26 | 2019-04-16 | 联芯科技有限公司 | Output volume adjusting method and apparatus |
| US9781537B2 (en) * | 2016-01-12 | 2017-10-03 | Disney Enterprises, Inc. | Systems and methods for adjusting audio based on ambient sounds |
| CN108833681A (en) * | 2018-05-25 | 2018-11-16 | 上海与德通讯技术有限公司 | A kind of volume adjusting method and mobile terminal |
-
2020
- 2020-04-30 CN CN202010359513.7A patent/CN111510559B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101437065A (en) * | 2007-11-13 | 2009-05-20 | 索尼爱立信移动通信日本株式会社 | Audio signal processing apparatus, audio signal processing method, and communication terminal |
| CN101740036A (en) * | 2009-12-14 | 2010-06-16 | 深圳华为通信技术有限公司 | Method and device for automatically adjusting call volume |
| CN102413218A (en) * | 2011-08-03 | 2012-04-11 | 宇龙计算机通信科技(深圳)有限公司 | Method, device and communication terminal for automatically adjusting speaking tone |
| CN202889458U (en) * | 2012-11-02 | 2013-04-17 | 姚西 | Automatic call volume regulation mobile phone based on environmental noise |
| CN104780259A (en) * | 2014-01-14 | 2015-07-15 | 深圳富泰宏精密工业有限公司 | Automatic adjustment system and method for call voice quality |
| CN105592222A (en) * | 2015-12-22 | 2016-05-18 | 努比亚技术有限公司 | Device and method for automatically adjusting volume of terminal |
| CN105812581A (en) * | 2016-05-12 | 2016-07-27 | 乐视控股（北京）有限公司 | Volume automatic adjustment method and device |
| CN106534563A (en) * | 2016-11-29 | 2017-03-22 | 努比亚技术有限公司 | Sound adjusting method and device and terminal |
| CN107277207A (en) * | 2017-07-14 | 2017-10-20 | 广东欧珀移动通信有限公司 | Adaptive call method, device, mobile terminal and storage medium |
| CN108647005A (en) * | 2018-05-15 | 2018-10-12 | 努比亚技术有限公司 | Audio frequency playing method, mobile terminal and computer readable storage medium |
| CN109918039A (en) * | 2019-02-21 | 2019-06-21 | 维沃移动通信有限公司 | A kind of volume adjusting method and mobile terminal |
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