CN103796145A - Auditory sense threshold value determining method and device and hearing aid - Google Patents
Auditory sense threshold value determining method and device and hearing aid Download PDFInfo
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- CN103796145A CN103796145A CN201410037173.0A CN201410037173A CN103796145A CN 103796145 A CN103796145 A CN 103796145A CN 201410037173 A CN201410037173 A CN 201410037173A CN 103796145 A CN103796145 A CN 103796145A
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Abstract
The invention discloses an auditory sense threshold value determining method. The method comprises the steps that outside sound signals are received; the sound signals are segmented into a plurality of sound data frames comprising a plurality of first data frames and at least one second data frame, and each data frame comprises a plurality of data points; the maximum value of each data frame of the signals is judged according to the data points; the average value of the maximum values of the first data frames is calculated, and the average value serves as a primary threshold value; the maximum values of the second data frames are obtained one by one, and the primary threshold value is updated according to the maximum value of each second data frame; the updated primary threshold value serves as an auditory sense threshold value. The invention further provides an auditory sense threshold value determining device and a hearing aid. The auditory sense threshold value determining method and device can avoid discomfort caused by sudden sound increase, and can also avoid the situation that a user can not perceive sudden sound because only one specific threshold value is specified.
Description
Technical field
The present invention relates to hearing aids field, the threshold of audibility that relates in particular to a kind of hearing aids is determined method, threshold of audibility determining device and uses this threshold of audibility to determine the hearing aids of method and threshold of audibility determining device.
Background technology
In traditional hearing aids, normally directly join by testing testing of teacher of the joining the threshold of pain that obtains hearing loss patient, in the time that the sound of hearing aids output exceedes this pain territory, just sound is smoothed out.But everyone threshold of pain is not often a specific value, but a relative value.If according to the conventional method,, in the time that the sound of hearing aids output is greater than some definite values, just sound is filtered, will cause so different user in any environment that exceedes this definite value, all can only hear the sound of identical decibel.In this case, if certain user's pain territory is greater than this definite value, situation that will some bursts of perception, such as unexpected vehicle whistle is reminded, will cause very large inconvenience to user like this, even may cause because distinguishing emergency case and cause the situation of life danger to occur.
Summary of the invention
In order to address the above problem, the embodiment of the present invention provides a kind of threshold of audibility to determine method, comprises step: receive external sound signal; Described voice signal is divided into multiple voice data frames, and described multiple voice data frames comprise multiple the first Frames and at least one the second Frame, and each voice data frame comprises multiple data points; Judge the maximum of each data frame signal according to multiple described data points; Add up the peaked mean value of multiple the first Frames, and using described mean value as initial threshold; Obtain one by one the maximum of described the second Frame, and upgrade described initial threshold according to the maximum of each described the second Frame; And using the initial threshold after renewal as described threshold of audibility.
Another embodiment of the present invention provides a kind of threshold of audibility determining device, and it comprises: receiver module, for receiving external sound signal; Cut apart module, for described voice signal being divided into multiple voice data frames, described multiple voice data frames comprise multiple the first Frames and at least one the second Frame, and each voice data frame comprises multiple data points; Judge module, for judging the maximum of each data frame signal according to multiple described data points; Initial threshold statistical module, for adding up the peaked mean value of multiple described the first Frames, and using described mean value as initial threshold; Threshold value update module, for obtaining one by one the maximum of described the second Frame, and upgrades described initial threshold according to the maximum of each described the second Frame; And determination module, for the initial threshold after upgrading is defined as to described threshold of audibility.
Yet another embodiment of the invention provides a kind of hearing aids, and it comprises above-mentioned threshold of audibility determining device, and uses above-mentioned threshold of audibility to determine method.
Threshold of audibility of the present invention is determined method and threshold of audibility determining device, by dynamically updating described initial threshold, can either avoid unexpected sound to increase the sense of discomfort of bringing, can avoid again because only stipulating that a specific threshold causes the situation of the sound that user cannot perception emergency case produces.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, to the accompanying drawing of required use in embodiment or description of the Prior Art be briefly described below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skills, do not paying under the prerequisite of creative work, can also obtain according to these accompanying drawings other accompanying drawing.
The threshold of audibility that Fig. 1 provides for the embodiment of the present invention is determined the flow chart of method;
The functional block diagram of the threshold of audibility determining device that Fig. 2 provides for the embodiment of the present invention.
Embodiment
Below in conjunction with the drawings and specific embodiments, technical scheme of the present invention is made to further more detailed description.Obviously, described embodiment is only a part of embodiment of the present invention, rather than whole embodiment.Based on the embodiment in the present invention, the every other embodiment that those of ordinary skills obtain under the prerequisite of not making creative work, should belong to the scope of protection of the invention.
As shown in Figure 1, its threshold of audibility providing for the embodiment of the present invention is determined the flow chart of method 100.Described threshold of audibility determines that method 100 is applied in hearing aids, can dynamically update the threshold of audibility of hearing aids output for user, thereby easily whether perception ambient sound size, further to distinguish, emergency case occurs.Said method comprising the steps of:
Step S101: receive external sound signal.In the present embodiment, collect described external sound signal by microphone.
Step S103: described voice signal is divided into multiple voice data frames, and described multiple voice data frames comprise multiple the first Frames and at least one the second Frame, and each voice data frame comprises multiple data points.In present embodiment, described the second Frame is immediately following received in described the first Frame.In addition, in 3 milliseconds of modes as a frame, described voice signal is divided into multiple voice data frames.In the present embodiment, each voice data frame comprises 48 data points, and described 48 data points are points of sampling external sound, have sequencing.
Step S105: the maximum that judges each frame signal according to multiple described data points.In the present embodiment, by adding up the maximum point of each voice data frame, for example the value of the 48th is as described maximum.It should be noted that maximum point refers to the point that voice signal is the strongest, it may be any point in any moment.
Step S107: the multiple peaked mean value of statistics the first Frame, and using described mean value as initial threshold.Concrete, the quantity of described the first Frame can roughly be defined as 20 frames.The quantity that is appreciated that described the first Frame can also be to be greater than or less than 20, in the time being greater than 20, can more accurately counting initial threshold, and in the time being less than 20, simplify statistic processes.
Step S109: obtain one by one the maximum of described the second Frame, and upgrade described initial threshold according to the maximum of each described the second Frame.Concrete, upgrade described initial threshold according to formula Thres=0.95*A+0.05*B, wherein, described Thres is the mean value after upgrading, and A is described initial threshold, and B is the maximum of each described the second Frame.
Step S111: the initial threshold after upgrading is as described threshold of audibility.It should be noted that the not output immediately of threshold of audibility that now obtained.
Step S113: the relatively described threshold of audibility after the maximum of each voice data frame of input and renewal.Concrete, each voice data frame of described input refers to the sound of current input.
According to described comparative result output threshold of audibility.Concrete, if the maximum of voice data frame is less than or equal to described threshold of audibility, perform step S115: export described voice data frame, otherwise execution step S117: export described threshold of audibility.
Refer to Fig. 2, the functional block diagram of its threshold of audibility determining device 200 providing for the embodiment of the present invention.Described threshold of audibility determining device 200 comprises receiver module 10, cuts apart module 20, judge module 30, initial threshold statistical module 40, threshold value update module 50, determination module 60, comparison module 70 and output module 80.
Described receiver module 10 is for receiving external sound signal.In the present embodiment, described receiver module 10 is microphone.
The described module 20 of cutting apart is for being divided into described voice signal multiple voice data frames, and described multiple voice data frames comprise multiple the first Frames and at least one the second Frame, and each voice data frame comprises multiple data points.In present embodiment, described the second Frame is immediately following received in described the first Frame.The described module 20 of cutting apart is divided into described multiple voice data frame in 3 milliseconds of modes as a frame by described voice signal.In the present embodiment, each voice data frame comprises 48 data points, and described 48 data points are points of sampling external sound, and it has sequencing.
Described judge module 30 is for judging the maximum of each frame signal according to multiple described data points.In the present embodiment, described judge module 30 is by the maximum point of each voice data frame of statistics, and for example the value of the 48th is as described maximum.It should be noted that described maximum point refers to the point that voice signal is the strongest, it may be any point in any moment.
Described initial threshold statistical module 40 is for adding up the multiple peaked mean value of multiple described the first Frames, and using described mean value as initial threshold.Concrete, the quantity of described the first Frame can roughly be defined as 20, and described initial threshold statistical module 40 is added up the voice data of front 20 frames and is obtained initial threshold.The quantity that is appreciated that described the first Frame can also be to be greater than or less than 20, in the time being greater than 20, can more accurately counting initial threshold, and in the time being less than 20, simplify statistic processes.
Described threshold value update module 50 is for obtaining one by one the maximum of described the second Frame, and upgrades described initial threshold according to the maximum of each described the second Frame.Concrete, upgrade described initial threshold according to formula Thres=0.95*A+0.05*B, wherein, described Thres is the mean value after upgrading, and A is described initial threshold, and B is the maximum of each described the second Frame.In the present embodiment, statistics above the mean value of the data maximum point of 20 frames (for example 48 points) as initial algorithm threshold value, subsequently since 21 frames, each input one frame, just first this present frame is obtained to the maximum in 48 of this frame, then according to formula: Thres=0.95*A+0.05*B upgrades dynamically to algorithm threshold value.
Described determination module 60 is for being defined as described threshold of audibility by the initial threshold after upgrading.It should be noted that now not output immediately of determined threshold of audibility.
Described comparison module 70 for the maximum of each voice data frame relatively with upgrade after described threshold of audibility.Concrete, each voice data frame of described input refers to the sound of current input.
Described output module 80, for according to described comparative result output threshold of audibility, if the maximum of voice data frame is less than or equal to described threshold of audibility, is exported described voice data frame, otherwise is exported described threshold of audibility.
In addition, the present invention also provides the hearing aids that uses above-mentioned threshold of audibility to determine method 100 and threshold of audibility determining device 200.
Threshold of audibility of the present invention is determined method 100 and threshold of audibility determining device 200, by dynamically updating described initial threshold, can either avoid unexpected sound to increase the sense of discomfort of bringing, can avoid again because only stipulating that a specific threshold causes the situation of the sound that user cannot perception emergency case produces.
It should be noted that, through the above description of the embodiments, those skilled in the art can be well understood to the mode that the present invention can add essential hardware platform by software and realize, and can certainly all implement by hardware.Based on such understanding, what technical scheme of the present invention contributed to background technology can embody with the form of software product in whole or in part, this computer software product can be stored in storage medium, as ROM/RAM, magnetic disc, CD etc., comprise that some instructions (can be personal computers in order to make a computer equipment, server, or the network equipment etc.) carry out the method described in some part of each embodiment of the present invention or embodiment.
Above disclosed is only the preferred embodiment in the embodiment of the present invention, the interest field that certainly can not limit the present invention with this, and the equivalent variations of therefore doing according to the claims in the present invention, still belongs to the scope that the present invention is contained.
Claims (10)
1. threshold of audibility is determined a method, comprises step:
Receive external sound signal;
Described voice signal is divided into multiple voice data frames, and described multiple voice data frames comprise multiple the first Frames and at least one the second Frame, and each voice data frame comprises multiple data points;
Judge the maximum of each data frame signal according to multiple described data points;
Add up the peaked mean value of multiple the first Frames, and using described mean value as initial threshold;
Obtain one by one the maximum of described the second Frame, and upgrade described initial threshold according to the maximum of each described the second Frame; And
Initial threshold after upgrading is as described threshold of audibility.
2. threshold of audibility as claimed in claim 1 is determined method, it is characterized in that, in 3 milliseconds of modes as a frame, described voice signal is divided into multiple voice data frames.
3. threshold of audibility as claimed in claim 1 is determined method, it is characterized in that, described the second Frame is immediately following received in described the first Frame, and the quantity of described the first Frame is 20 frames.
4. threshold of audibility as claimed in claim 1 is determined method, it is characterized in that, the step that the described maximum according to the second Frame described in each is upgraded described initial threshold comprises:
Upgrade described initial threshold according to formula Thres=0.95*A+0.05*B, wherein, described Thres is the mean value after upgrading, and A is described initial threshold, and B is the maximum of each described the second Frame.
5. threshold of audibility as claimed in claim 4 is determined method, further comprises step:
The relatively described threshold of audibility after the maximum of each voice data frame and renewal; And
According to described comparative result output threshold of audibility.
6. threshold of audibility as claimed in claim 5 is determined method, it is characterized in that, the described step according to described comparative result output threshold of audibility comprises:
If the maximum of voice data frame is less than or equal to described threshold of audibility, exports described voice data frame, otherwise export described threshold of audibility.
7. the threshold of audibility as described in claim 1 or 6 is determined method, it is characterized in that, judges that the peaked step of each frame signal comprises according to multiple described data points:
Add up the value of the maximum point of each voice data frame.
8. a threshold of audibility determining device, it comprises:
Receiver module, for receiving external sound signal;
Cut apart module, for described voice signal being divided into multiple voice data frames, described multiple voice data frames comprise multiple the first Frames and at least one the second Frame, and each voice data frame comprises multiple data points;
Judge module, for judging the maximum of each data frame signal according to multiple described data points;
Initial threshold statistical module, for adding up the peaked mean value of multiple described the first Frames, and using described mean value as initial threshold;
Threshold value update module, for obtaining one by one the maximum of described the second Frame, and upgrades described initial threshold according to the maximum of each described the second Frame; And
Determination module, for being defined as described threshold of audibility by the initial threshold after upgrading.
9. threshold of audibility determining device as claimed in claim 8, is characterized in that, further comprises:
Comparison module, for the described threshold of audibility after maximum and the renewal of each voice data frame of comparison; And
Output module, for according to described comparative result output threshold of audibility, if the maximum of voice data frame is less than or equal to described threshold of audibility, exports described voice data frame, otherwise exports described threshold of audibility.
10. a hearing aids, it comprises the threshold of audibility determining device as described in claim 8-9 item any one.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104484964A (en) * | 2014-12-16 | 2015-04-01 | 芜湖乐锐思信息咨询有限公司 | Environmental self-reminding method of intelligent wearable equipment |
| CN104507030A (en) * | 2014-12-16 | 2015-04-08 | 芜湖乐锐思信息咨询有限公司 | Voice recognition control method for intelligent wearing equipment |
| CN104570852A (en) * | 2014-12-16 | 2015-04-29 | 芜湖乐锐思信息咨询有限公司 | Environmental self-reminding device for intelligent wearing equipment |
| CN114630242A (en) * | 2022-03-23 | 2022-06-14 | 歌尔股份有限公司 | Earphone wearing detection method, earphone and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2261892B1 (en) * | 2001-04-13 | 2020-09-16 | Dolby Laboratories Licensing Corporation | High quality time-scaling and pitch-scaling of audio signals |
| CN100505040C (en) * | 2005-07-26 | 2009-06-24 | 浙江大学 | Audio Segmentation Method Based on Decision Tree and Speaker Change Detection |
| US8190441B2 (en) * | 2006-09-11 | 2012-05-29 | Apple Inc. | Playback of compressed media files without quantization gaps |
| CN101373594A (en) * | 2007-08-21 | 2009-02-25 | 华为技术有限公司 | Method and apparatus for correcting audio signal |
| KR101148771B1 (en) * | 2009-01-08 | 2012-05-25 | 주식회사 코아로직 | Device and method for stabilizing voice source and communication apparatus comprising the same device |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104484964A (en) * | 2014-12-16 | 2015-04-01 | 芜湖乐锐思信息咨询有限公司 | Environmental self-reminding method of intelligent wearable equipment |
| CN104507030A (en) * | 2014-12-16 | 2015-04-08 | 芜湖乐锐思信息咨询有限公司 | Voice recognition control method for intelligent wearing equipment |
| CN104570852A (en) * | 2014-12-16 | 2015-04-29 | 芜湖乐锐思信息咨询有限公司 | Environmental self-reminding device for intelligent wearing equipment |
| CN114630242A (en) * | 2022-03-23 | 2022-06-14 | 歌尔股份有限公司 | Earphone wearing detection method, earphone and storage medium |
| CN114630242B (en) * | 2022-03-23 | 2024-04-09 | 歌尔股份有限公司 | Headphone wearing detection method, headphone and storage medium |
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