CN103796145B - 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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- CN103796145B CN103796145B CN201410037173.0A CN201410037173A CN103796145B CN 103796145 B CN103796145 B CN 103796145B CN 201410037173 A CN201410037173 A CN 201410037173A CN 103796145 B CN103796145 B CN 103796145B
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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 field of hearing aids, particularly relate to the threshold of audibility of a kind of sonifer determine method, threshold of audibility determine device and use this threshold of audibility to determine method and threshold of audibility determine the sonifer of device.
Background technology
In traditional sonifer, it is common that directly pass through testing of dispenser and join the threshold of pain obtaining hearing loss patient, when the sound of sonifer output exceedes this pain territory, just sound is smoothed out.But, everyone threshold of pain is frequently not a specific value, but a relative value.If according to the conventional method, i.e. when the sound of sonifer output is more than some definite value, just sound is filtered, then may result in different user and be in any environment exceeding this definite value, all can only hear the sound of identical decibel.In this case, if the pain territory of certain user is more than this definite value, will situations of some bursts of perception, such as unexpected vehicle whistle is reminded, thus can the biggest inconvenience of cause the user, in some instances it may even be possible to the situation causing life danger because cannot be distinguished by emergency case can be caused to occur.
Summary of the invention
In order to solve the problems referred to above, the embodiment of the present invention provides a kind of threshold of audibility to determine method, including step: receive external sound signal；Described acoustical signal is divided into multiple voice data frame, and the plurality of voice data frame includes multiple first Frame and at least one the second Frame, and each voice data frame includes multiple data point；The maximum of each data frame signal is judged according to multiple described data points；Add up the meansigma methods of the maximum of multiple first Frame, and using described meansigma methods as initial threshold；Obtain the maximum of described second Frame one by one, and update described initial threshold according to the maximum of each described second Frame；And the initial threshold after updating is as described threshold of audibility.
Another embodiment of the present invention provides a kind of threshold of audibility to determine device, comprising: receiver module, is used for receiving external sound signal；Segmentation module, for described acoustical signal is divided into multiple voice data frame, the plurality of voice data frame includes multiple first Frame and at least one the second Frame, and each voice data frame includes multiple data point；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 meansigma methods of the maximum of multiple described first Frame, and using described meansigma methods as initial threshold；Threshold value more new module, for obtaining the maximum of described second Frame one by one, and updates described initial threshold according to the maximum of each described second Frame；And determining module, the initial threshold after updating is defined as described threshold of audibility.
Yet another embodiment of the invention provides a kind of sonifer, and it includes that above-mentioned threshold of audibility determines device, and uses above-mentioned threshold of audibility to determine method.
The threshold of audibility of the present invention determines that method and threshold of audibility determine device, by dynamically updating described initial threshold, unexpected sound can either be avoided to increase the sense of discomfort brought, can avoid again causing because only specifying a specific threshold user cannot the situation of sound that produces of perception emergency case.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, the accompanying drawing used required in embodiment or description of the prior art will be briefly described below, apparently, accompanying drawing in describing below is only some embodiments of the present invention, for those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 determines the flow chart of method for the threshold of audibility that the embodiment of the present invention provides；
Fig. 2 determines the functional block diagram of device for the threshold of audibility that the embodiment of the present invention provides.
Detailed description of the invention
Make to describe in more detail further to technical scheme with detailed description of the invention below in conjunction with the accompanying drawings.Obviously, described embodiment is only a part of embodiment of the present invention rather than whole embodiments.Based on the embodiment in the present invention, the every other embodiment that those of ordinary skill in the art are obtained on the premise of not making creative work, all should belong to the scope of protection of the invention.
As it is shown in figure 1, it determines the flow chart of method 100 for the threshold of audibility that the embodiment of the present invention provides.Described threshold of audibility determines that method 100 is applied in sonifer, can dynamically update the threshold of audibility of sonifer output for user, thus whether easily perceivable ambient sound size occurs emergency case to further discriminate between.Said method comprising the steps of:
Step S101: receive external sound signal.In the present embodiment, collect described external sound signal by mike.
Step S103: described acoustical signal is divided into multiple voice data frame, the plurality of voice data frame includes multiple first Frame and at least one the second Frame, and each voice data frame includes multiple data point.In present embodiment, described second Frame is immediately following being received in described first Frame.Additionally, described acoustical signal to be divided in the way of being a frame by 3 milliseconds multiple voice data frame.In the present embodiment, each voice data frame includes that 48 data points, described 48 data points are the points of sampling external sound, has sequencing.
Step S105: judge the maximum of each frame signal according to multiple described data points.In the present embodiment, by adding up the maximum point of each voice data frame, the value of such as the 48th is as described maximum.It should be noted that maximum point refers to the point that acoustical signal is the strongest, it is probably any point in any moment.
Step S107: add up the meansigma methods of multiple maximums of the first Frame, and using described meansigma methods as initial threshold.Concrete, the quantity of described first Frame can substantially be defined as 20 frames.It is appreciated that the quantity of described first Frame can also is that more than or less than 20, when more than 20, it is possible to more accurately count initial threshold, and when less than 20, simplify statistic processes.
Step S109: obtain the maximum of described second Frame one by one, and update described initial threshold according to the maximum of each described second Frame.Concrete, update described initial threshold according to formula Thres=0.95*A+0.05*B, wherein, described Thres is the meansigma methods after updating, and A is described initial threshold, and B is the maximum of each described second Frame.
Step S111: the initial threshold after updating is as described threshold of audibility.It should be noted that the threshold of audibility now obtained non-immediate output.
Step S113: compare input each voice data frame maximum with update after described threshold of audibility.Concrete, each voice data frame of described input refers to the sound being currently entered.
Threshold of audibility is exported according to described comparative result.Concrete, if the maximum of voice data frame is less than or equal to described threshold of audibility, then perform step S115: export described voice data frame, otherwise perform step S117: export described threshold of audibility.
Referring to Fig. 2, it determines the functional block diagram of device 200 for the threshold of audibility that the embodiment of the present invention provides.Described threshold of audibility determines that device 200 includes receiver module 10, segmentation module 20, judge module 30, initial threshold statistical module 40, threshold value more new module 50, determines module 60, comparison module 70 and output module 80.
Described receiver module 10 is used for receiving external sound signal.In the present embodiment, described receiver module 10 is mike.
Described segmentation module 20 is for being divided into multiple voice data frame by described acoustical signal, and the plurality of voice data frame includes multiple first Frame and at least one the second Frame, and each voice data frame includes multiple data point.In present embodiment, described second Frame is immediately following being received in described first Frame.Described acoustical signal is divided into the plurality of voice data frame by described segmentation module 20 in the way of being a frame by 3 milliseconds.In the present embodiment, each voice data frame includes that 48 data points, described 48 data points are the points of sampling external sound, and it has sequencing.
Described judge module 30 for judging the maximum of each frame signal according to multiple described data points.In the present embodiment, described judge module 30 is by adding up the maximum point of each voice data frame, and the value of such as the 48th is as described maximum.It should be noted that described maximum point refers to the point that acoustical signal is the strongest, it is probably any point in any moment.
Described initial threshold statistical module 40 is used for adding up the meansigma methods of multiple maximums of multiple described first Frame, and using described meansigma methods as initial threshold.Concrete, the quantity of described first Frame can substantially be defined as 20, and described initial threshold statistical module 40 is i.e. added up the voice data of front 20 frames and obtained initial threshold.It is appreciated that the quantity of described first Frame can also is that more than or less than 20, when more than 20, it is possible to more accurately count initial threshold, and when less than 20, simplify statistic processes.
Described threshold value more new module 50 is for obtaining the maximum of described second Frame one by one, and updates described initial threshold according to the maximum of each described second Frame.Concrete, update described initial threshold according to formula Thres=0.95*A+0.05*B, wherein, described Thres is the meansigma methods after updating, and A is described initial threshold, and B is the maximum of each described second Frame.In the present embodiment, the meansigma methods of the statistics above data maximum point (such as 48 point) of 20 frames is as initial algorithm threshold value, subsequently from the beginning of 21 frames, input one frame every time, the most first this present frame is obtained the maximum in 48 of this frame, then according to formula: algorithm threshold value is updated by Thres=0.95*A+0.05*B dynamically.
Described determine module 60 for will update after initial threshold be defined as described threshold of audibility.Threshold of audibility determined by it should be noted that now non-immediate output.
The described comparison module 70 described threshold of audibility after the maximum comparing each voice data frame and renewal.Concrete, each voice data frame of described input refers to the sound being currently entered.
Described output module 80, for exporting threshold of audibility according to described comparative result, if the maximum of voice data frame is less than or equal to described threshold of audibility, then exports described voice data frame, otherwise exports described threshold of audibility.
Additionally, the present invention also provides for using above-mentioned threshold of audibility to determine, method 100 and threshold of audibility determine the sonifer of device 200.
The threshold of audibility of the present invention determines that method 100 and threshold of audibility determine device 200, by dynamically updating described initial threshold, unexpected sound can either be avoided to increase the sense of discomfort brought, can avoid again causing because only specifying a specific threshold user cannot the situation of sound that produces of perception emergency case.
It should be noted that through the above description of the embodiments, those skilled in the art is it can be understood that can add the mode of required hardware platform by software to the present invention and realize, naturally it is also possible to all implemented by hardware.Based on such understanding, what background technology was contributed by technical scheme can embody with the form of software product in whole or in part, this computer software product can be stored in storage medium, such as ROM/RAM, magnetic disc, CD etc., including some instructions with so that a computer equipment (can be personal computer, server, or the network equipment etc.) perform each embodiment of the present invention or the method described in some part of embodiment.
The above disclosed preferred embodiment being only in the embodiment of the present invention, certainly can not limit the interest field of the present invention, the equivalent variations therefore made according to the claims in the present invention with this, still belong to the scope that the present invention is contained.
Claims (6)
1. threshold of audibility determines a method, including step:
Receive external sound signal；
Described acoustical signal is divided into multiple voice data frame, and the plurality of voice data frame includes multiple
One Frame and at least one the second Frame, and each voice data frame includes multiple data point；
The maximum of each voice data frame signal is judged according to multiple described data points；
Add up the meansigma methods of the maximum of multiple first Frame, and using described meansigma methods as initial threshold；
Obtain the maximum of described second Frame one by one, and according to the maximum of each described second Frame
Update described initial threshold, wherein, update described initial threshold according to formula Thres=0.95*A+0.05*B,
Wherein, described Thres is the meansigma methods after updating, and A is described initial threshold, and B is each described second number
According to the maximum of frame, and the described initial threshold after updating is as described threshold of audibility；And
Described threshold of audibility after the maximum of each voice data frame of comparison and renewal, if described sound
The maximum of Frame is less than or equal to described threshold of audibility, then export described voice data frame, otherwise export institute
State threshold of audibility.
2. threshold of audibility as claimed in claim 1 determines method, it is characterised in that be a frame with 3 milliseconds
Mode described acoustical signal is divided into multiple voice data frame.
3. threshold of audibility as claimed in claim 1 determines method, it is characterised in that described second Frame
Immediately following being received in described first Frame, the quantity of described first Frame is 20 frames.
4. threshold of audibility as claimed in claim 1 determines method, it is characterised in that according to multiple described numbers
Strong point judges that the step of the maximum of each frame signal includes:
Add up the value of the maximum point of each voice data frame.
5. threshold of audibility determines a device, comprising:
Receiver module, is used for receiving external sound signal；
Segmentation module, for being divided into multiple voice data frame, the plurality of sound number by described acoustical signal
Include multiple first Frame and at least one the second Frame according to frame, and each voice data frame includes many
Individual data point；
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 meansigma methods of the maximum of multiple described first Frame, and
Using described meansigma methods as initial threshold；
Threshold value more new module, for obtaining the maximum of described second Frame one by one, and according to each described
The maximum of the second Frame updates described initial threshold, wherein, according to formula Thres=0.95*A+0.05*B
Updating described initial threshold, wherein said Thres is the meansigma methods after updating, and A is described initial threshold, B
Maximum for each described second Frame；And
Determining module, the initial threshold after updating is defined as described threshold of audibility；
Comparison module, the described threshold of audibility after the maximum comparing each voice data frame and renewal；
And
Output module, for when the maximum of described voice data frame is less than or equal to described threshold of audibility, defeated
Go out described voice data frame, and when the maximum of described voice data frame is more than described threshold of audibility, defeated
Go out described threshold of audibility.
6. a sonifer, it includes that threshold of audibility as claimed in claim 5 determines device.
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| 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 |
| 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 |
| 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 |
| CN114630242B (en) * | 2022-03-23 | 2024-04-09 | 歌尔股份有限公司 | Earphone wearing detection method, earphone and storage medium |
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