CN103035237A - Chinese speech signal processing method, device and hearing aid device - Google Patents
Chinese speech signal processing method, device and hearing aid device Download PDFInfo
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- CN103035237A CN103035237A CN2011103000813A CN201110300081A CN103035237A CN 103035237 A CN103035237 A CN 103035237A CN 2011103000813 A CN2011103000813 A CN 2011103000813A CN 201110300081 A CN201110300081 A CN 201110300081A CN 103035237 A CN103035237 A CN 103035237A
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Abstract
The invention discloses a Chinese speech signal processing method, a device and a hearing aid device. According to the fact that Chinese speech tones have significant characteristics in distinguishing word meanings, a fundamental frequency curve which each syllable corresponds to is adjusted by increasing slope of the fundamental frequency curve which each syllable corresponds to in a Chinese speech signal, corresponding syllables can be composed through the adjusted fundamental frequency curves, thereby the rate of recognition for each syllable tone by sensorineural deaf patients is improved, and the distinguishing capability of the sensorineural deaf patients for the Chinese speech is improved.
Description
Technical field
The present invention relates to digital signal processing technique field, particularly a kind of Chinese speech signal processing method, device and hearing-aid device.
Background technology
According to statistics in 2006, there was dysaudia in nearly 2,780 ten thousand people of China.The hearing aid technology more and more receives people's concern as effective solution of dysaudia.And being accompanied by scientific and technological progress, Digital Signal Processing progressively is applied to the hearing aid field.
It is deaf that deafness is divided into conduction deafness, phonosensitive nerve deafness and mixed type, and wherein, the deafness patient of suffering from phonosensitive nerve deafness has accounted for sizable ratio.Phonosensitive nerve deafness can be divided into again that snail property (also being phonosensitive) is deaf, deaf and central is deaf behind the snail.Because an important function of cochlea is exactly the analyzing and processing auditory information, the sensorineural deafness patient is because the impaired speech analysis ability that may cause of cochlea descends Tone recognition ability variation.Present osophone lays particular emphasis on the amplification of sound amplitude, and is fine for the conduction deafness effect, and for sensorineural deafness, can not reach desirable hearing aid effect, especially this undesirable more obvious under the noise circumstance.
Therefore, for sensorineural deafness, can be used for the osophone that the speech analysis ability remedies and to bring preferably effect.
At present, major part can be used for the osophone that the speech analysis ability remedies researches and develops according to the west voice, and Chinese user can't use.This is because Chinese speech exists many-side different from the west voice, as:
(1) Chinese speech is that the single syllable band is transferred language;
(2) Chinese speech is the structure that consonant is combined with vowel, is different from the structure that there are a plurality of consonant strings in the west voice.
Because the difference that Chinese speech and west voice exist in the urgent need to a kind of signal processing method for Chinese speech, improves the Tone recognition rate that phonosensitive is listened the barrier patient, and then improves the lalognogis degree that phonosensitive is listened the barrier patient.
Summary of the invention
In view of this, the present invention proposes a kind of Chinese speech signal processing method, in order to improve the sensorineural deafness patient to the perception of tone.The present invention also provides a kind of Chinese speech signal processing apparatus and a kind of hearing-aid device.
Therefore, according to one embodiment of the invention, provide a kind of Chinese speech signal processing method, comprising:
Pending Chinese speech signal is carried out syllable splitting, obtain at least one syllable that this pending Chinese speech signal comprises;
Determine fundamental curve corresponding to each syllable in described at least one syllable;
Increase the slope of described fundamental curve;
Syllable corresponding to fundamental curve after synthetic described slope increases.
According to another embodiment of the present invention, a kind of Chinese speech signal processing apparatus is provided, this device comprises:
Syllable splitting module 11 is used for pending Chinese speech signal is carried out syllable splitting, obtains at least one syllable that this pending Chinese speech signal comprises;
Fundamental curve determination module 12 is used for determining fundamental curve corresponding to described each syllable of at least one syllable;
Strengthen module 13, be used for increasing the slope of described fundamental curve;
Synthesis module 14 is for the synthesis of syllable corresponding to fundamental curve after the described slope increase.
According to another embodiment of the present invention, a kind of hearing-aid device is provided, this hearing-aid device comprises described Chinese speech signal processing apparatus.
According to embodiment of the present invention, has the key property of distinguishing the word meaning for the Chinese speech tone, by the slope that increases the fundamental curve that each syllable is corresponding in the Chinese speech signal fundamental curve corresponding to each syllable adjusted, and can be by the synthetic corresponding syllable of the fundamental curve after adjusting, thereby improve the sensorineural deafness patient to the discrimination of each syllable tone, and then improve the sensorineural deafness patient to the resolution characteristic of Chinese speech.
According to embodiment of the present invention, also comprise the corresponding relation of determining each synthetic syllable and pending Chinese speech signal being carried out each syllable of syllable splitting acquisition, according to the sequencing of each syllable that obtains after the cutting in described pending Chinese speech signal, the sensorineural deafness patient exports successively the step of the syllable behind corresponding synthetic of each syllable of obtaining after the cutting, so that can intactly understand the implication of continuous Chinese speech signal.
According to embodiment of the present invention, can utilize a kind of in the following mode to determine pending Chinese speech signal: will set the Chinese speech signal that receives in the duration as described pending Chinese speech signal, perhaps, the Chinese speech signal that has received is carried out end-point detection, with detected each section Chinese speech signal successively as described pending Chinese speech signal.
According to embodiment of the present invention, when determining fundamental curve corresponding to each syllable, specifically can obtain a syllable at the fundamental frequency of each sampling instant, utilize the fundamental frequency of each sampling instant that obtains to determine the fundamental curve that this syllable is corresponding.
According to embodiment of the present invention, provide a kind of concrete formula to increase the slope of fundamental curve, and provide a kind of concrete formula to increase slope and the mean value of fundamental curve.
According to embodiment of the present invention, tone kind that can be corresponding according to syllable increases the slope of fundamental curve, thereby can determine that respectively corresponding slope increases mode for each tone kind, improves the discrimination of tone.
Description of drawings
The below will make clearer above-mentioned and other feature and advantage of the present invention of those of ordinary skill in the art by describing the preferred embodiments of the present invention in detail with reference to accompanying drawing, in the accompanying drawing:
Fig. 1 is the flow chart of steps of Chinese speech signal processing method according to an embodiment of the invention;
Fig. 2 (a), Fig. 2 (b), Fig. 2 (c) and Fig. 2 (d) are that fundamental curve increases the contrast synoptic diagram of slope and mean value front and back according to an embodiment of the invention;
Fig. 3 is the structural representation of the Chinese speech signal processing apparatus of another embodiment of the present invention.
Embodiment
In the embodiment of the invention, utilize the Chinese speech tone can distinguish word meaning characteristic, emphasize for the tone in the Chinese speech, thereby improve the user to the discrimination of Chinese speech.
For making the purpose, technical solutions and advantages of the present invention clearer, the present invention is described in more detail by the following examples.
One embodiment of the invention provides a kind of Chinese speech signal processing method, and Fig. 1 is the flow chart of steps of the method, and the method comprises:
The Chinese speech signal processing method that the embodiment of the invention provides can be the disposal route for each syllable in the pending Chinese speech signal, also can be the disposal route for pending Chinese speech signal middle part syllabify.Therefore, need continuous pending Chinese speech signal is carried out syllable splitting, thereby obtain at least one syllable that this pending Chinese speech signal comprises, so that subsequent treatment.
In the present embodiment, can utilize in the following mode any one to determine a pending Chinese speech signal:
Mode one, will set the Chinese speech signal that receives in the duration as pending Chinese speech signal.Under this mode of determining pending Chinese speech signal, can guarantee the real-time processing of Chinese speech signal by selecting suitable setting duration, so that the sensorineural deafness patient can in time obtain the Chinese speech information of tone after strengthening.This setting-up time is shorter, more is beneficial to the Chinese speech information after deafness patient receives adjustment timely.
Mode two, the Chinese speech signal that has received is carried out end-point detection, with detected each section Chinese speech signal successively as pending Chinese speech signal.When determining pending Chinese speech signal by the end-point detection mode, removed the mute signal that forms owing to the reasons such as intermittence of speaking in the pending Chinese speech signal of determining, thereby can only process the efficient voice signal in the Chinese speech signal that has received, improve the processing speed to Chinese voice signal.
The Chinese speech signal can be to receive by audio input devices such as microphones, and the digital signal through obtaining after the conversion of analog/digital (A/D) conversion equipment.
The variation that show as fundamental frequency of the variation of tone on the acoustics aspect also is fundamental curve in the Chinese speech.Therefore, for the tone to Chinese speech strengthens, to improve the sensorineural deafness patient to the discrimination of Chinese voice tone, can process the fundamental curve of Chinese voice signal.
In this step, each syllable that can obtain for cutting determines that this syllable at the fundamental frequency of each sampling instant, determines the fundamental curve that this syllable is corresponding according to the fundamental frequency of described each sampling instant.Concrete, because time span corresponding to each syllable that cutting obtains may be different, therefore, can corresponding time span carry out normalized to each syllable that cutting obtains, and determine fundamental curve corresponding to each syllable.
The method of slope that in the present embodiment, can be by increasing fundamental curve is come the tone feature of stressed syllable.More excellent, the slope that increases a fundamental curve can be slope and the mean value that increases a fundamental curve, described mean value refers to that this fundamental curve is at the mean value of the fundamental frequency of each sampling instant.
Concrete, can pass through following formula, increase the slope of a fundamental curve:
F0
new(n)＝C×(F0
origin(n)-F0
mean)
Wherein,
N is positive integer;
F0
New(n) fundamental curve after expression increases is at the fundamental frequency of n sampling instant;
F0
Origin(n) fundamental curve before expression increases is at the fundamental frequency of n sampling instant;
F0
MeanThe mean value of the fundamental curve before expression increases;
C represents slope adjustment parameter, and C is greater than 1.
Concrete, can pass through following formula, increase slope and the mean value of a fundamental curve:
F0
new(n)＝C×(F0
origin(n)-F0
mean)+(1+M)×F0
mean
Wherein,
N is positive integer;
F0
New(n) fundamental curve after expression increases is at the fundamental frequency of n sampling instant;
F0
Origin(n) fundamental curve before expression increases is at the fundamental frequency of n sampling instant;
F0
MeanThe mean value of the fundamental curve before expression increases;
C represents slope adjustment parameter, and C is greater than 1;
M represents mean value adjustment parameter, and M is greater than 0.
Described slope adjusts parameters C and mean value adjustment parameter M determines by the method for acoustical testing.Described slope adjusts parameters C and mean value adjustment parameter M can also vary with each individual, thereby can emphasize the tone feature of Chinese speech for each human needs, improves the sharpness of its Chinese speech of hearing.
Take high and level tone, rising tone, upper sound and four kinds of tones of falling tone as example, for the syllable of every kind of tone, the contrast figure of the fundamental curve behind the fundamental curve before increase slope and the mean value, increase slope and the mean value can be such as Fig. 2 (a) to shown in Fig. 2 (d).Wherein, the fundamental curve corresponding to syllable of a high and level tone tone of Fig. 2 (a) expression, before slope and mean value increase and the contrast synoptic diagram after the increase, the fundamental curve corresponding to syllable of a rising tone tone of Fig. 2 (b) expression, before slope and mean value increase and the contrast synoptic diagram after the increase, the fundamental curve corresponding to syllable of upper several accent of Fig. 2 (c) expression, before slope and mean value increase and the contrast synoptic diagram after the increase, the fundamental curve corresponding to syllable of a falling tone tone of Fig. 2 (d) expression is before slope and mean value increase and the contrast synoptic diagram after the increase.
Concrete, can use the Speech Synthesis Algorithm of revising based on time domain waveform: the fundamental frequency PSOLA (Pitch Synchronous OverLap and Add) that superposes synchronously realizes the synthetic of syllable.
In this step, in order to guarantee that the sensorineural deafness patient can intactly understand the implication of continuous Chinese speech signal, can determine each syllable of synthesizing and the corresponding relation that pending Chinese speech signal is carried out each syllable that syllable splitting obtains, the sequencing of each syllable in described pending Chinese speech signal that obtains according to cutting, outputting cutting divides the syllable behind corresponding synthetic of each syllable of obtaining successively.
According to the characteristics that have multiple tone in the Chinese speech, for the validity that can the Effective Raise tone when the tone feature of stressed syllable strengthens, can emphasize for the tone kind of syllable the tone feature of this syllable.Then, more excellent, after step 101, before the step 103, described method can further include step 102 ', step 102 ' with the execution of step 102 in no particular order:
Step 102 ', determine the tone kind of each syllable.
Described tone kind can be according to the Tone recognition method, the high and level tone of determining, and rising tone, upper sound and four kinds of tone kinds of falling tone also can be first according to other tone sorting techniques, the tone kind of determining.The tone kind of described Chinese speech signal can be determined by clustering method.
When the scheme of present embodiment comprised the step of the tone kind of determining syllable, step 103 specifically comprised: according to the tone kind of each syllable, increase the slope of fundamental curve corresponding to each syllable.
As, passing through formula F 0
New(n)=C * (F0
Origin(n)-F0
Mean)+(1+M) * F0
MeanWhen increasing the slope of fundamental curve corresponding to syllable, can according to the tone kind of this syllable, determine that corresponding slope is adjusted parameters C and mean value is adjusted parameter M, thereby increase the slope of fundamental curve corresponding to this syllable.
More excellent, in order to guarantee the smooth execution of step 105, in step 102 (comprise step 102 ') to step 104, the sequencing of each syllable in pending Chinese speech signal that can obtain according to cutting, after the operation of the slope of fundamental curve determined in a syllable, determining the tone kind, increase fundamental curve and synthetic this syllable is finished, continuation is carried out identical processing to another syllable, each syllable that namely pending Chinese speech signal is comprised carries out serial processing according to its sequencing.Certainly, also at least two syllables that pending Chinese speech signal comprises can be carried out parallel processing.
Another embodiment of the present invention provides a kind of Chinese speech signal processing apparatus, and Fig. 3 is the structural representation of this device, and this device comprises:
Syllable splitting module 11 is used for pending Chinese speech signal is carried out syllable splitting, obtains at least one syllable that this pending Chinese speech signal comprises; Fundamental curve determination module 12 is used for receiving described syllable splitting module 11 and carries out the syllable that obtains behind the syllable splitting, and determines fundamental curve corresponding to each syllable in described at least one syllable; Strengthen module 13 and be used for receiving the fundamental curve that described fundamental curve determination module 12 is determined, and increase the slope of described fundamental curve; Synthesis module 14 is used for receiving the fundamental curve after described enhancing module 13 increases slope, and syllable corresponding to fundamental curve after the synthetic described slope increase.
This device can also comprise output module 15:
Output module 15 is used for receiving the syllable that described synthesis module 14 synthesizes, and determine the corresponding relation of each syllable in each synthetic syllable and described at least one syllable, according to the sequencing of each syllable in described at least one syllable in described pending Chinese speech signal, export successively the syllable behind corresponding synthetic of each syllable in described at least one syllable.
Concrete, described output module 15 can comprise for determining each syllable that described synthesis module 14 is synthetic and the corresponding relation of described at least one each syllable of syllable, according to the sequencing of each syllable in described at least one syllable in described pending Chinese speech signal, successively the corresponding digital signal of syllable behind corresponding synthetic of each syllable in described at least one syllable is converted to the D/A conversion submodule 151 of simulating signal and the voice output submodule (such as loudspeaker) 152 that the simulating signal after 151 conversions of described D/A conversion submodule is exported successively.
Described device can further include pending signal determination module 10:
Pending signal determination module 10 is used for setting the Chinese speech signal that receives in the duration as described pending Chinese speech signal, perhaps, the Chinese speech signal that has received is carried out end-point detection, successively as described pending Chinese speech signal, and the pending Chinese speech signal that will determine offers described syllable splitting module 11 with detected each section Chinese speech signal.
Described fundamental curve determination module 12 concrete each syllable that is used for for described at least one syllable obtain this syllable at the fundamental frequency of each sampling instant, utilize the fundamental frequency of each sampling instant that obtains to determine the fundamental curve that this syllable is corresponding.
Described enhancing module 13 concrete slope and the mean values that are used for increasing described fundamental curve, described mean value refers to that this fundamental curve is at the mean value of the fundamental frequency of described each sampling instant.
Described enhancing module 13 specifically is used for each fundamental curve for described fundamental curve, increases the slope of this fundamental curve by following formula:
F0
new(n)＝C×(F0
origin(n)-F0
mean)
Wherein,
N is positive integer;
F0
New(n) fundamental curve after expression increases is at the fundamental frequency of n sampling instant;
F0
Origin(n) fundamental curve before expression increases is at the fundamental frequency of n sampling instant;
F0
MeanThe mean value of the fundamental curve before expression increases;
C represents slope adjustment parameter, and C is greater than 1.
Described enhancing module 13 can also be concrete for each fundamental curve for described fundamental curve, increases slope and the mean value of this fundamental curve by following formula:
F0
new(n)＝C×(F0
origin(n)-F0
mean)+(1+M)×F0
mean
Wherein,
N is positive integer;
F0
New(n) fundamental curve after expression increases is at the fundamental frequency of n sampling instant;
F0
Origin(n) fundamental curve before expression increases is at the fundamental frequency of n sampling instant;
F0
MeanThe mean value of the fundamental curve before expression increases;
C represents slope adjustment parameter, and C is greater than 1;
M represents mean value adjustment parameter, and M is greater than 0.
Described device can further include:
Tone kind determination module 16 is used for receiving the syllable after described syllable splitting module 11 cuttings, and determines the tone kind of each syllable in described at least one syllable;
Described enhancing module 13 specifically is used for the tone kinds according to described at least one each syllable of syllable, increases the slope of fundamental curve corresponding to this syllable.
As shown in Figure 2, described device can further include for the voice input module 17 (such as microphone) that receives phonetic entry, be used for that described voice input module 17 is received voice and carry out analog-to-digital A/D modular converter 18, and described A/D modular converter 18 can offer the Chinese speech signal that obtains after the analog to digital conversion described pending signal determination module 10.
Described synthesis module 14 can use the Speech Synthesis Algorithm of revising based on time domain waveform: fundamental frequency superpose synchronously (PSOLA) realize the synthetic of voice.
Another embodiment of the present invention provides a kind of hearing-aid device, this hearing-aid device can comprise the Chinese speech signal processing apparatus that the embodiment of the invention provides, namely this hearing-aid device can comprise each functional module of the Chinese speech signal processing apparatus that the embodiment of the invention provides, and carries out corresponding function.
The invention discloses a kind of Chinese speech signal processing method, device and hearing-aid device, has the key property of distinguishing the word meaning for the Chinese speech tone, by the slope that increases the fundamental curve that each syllable is corresponding in the Chinese speech signal fundamental curve corresponding to each syllable adjusted, and can be by the synthetic corresponding syllable of the fundamental curve after adjusting, thereby improve the sensorineural deafness patient to the discrimination of each syllable tone, and then improve the sensorineural deafness patient to the resolution characteristic of Chinese speech.
The above only is preferred embodiment of the present invention, and is in order to limit the present invention, within the spirit and principles in the present invention not all, any modification of doing, is equal to replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (16)
1. Chinese speech signal processing method, described method comprises:
Pending Chinese speech signal is carried out syllable splitting, obtain at least one syllable that this pending Chinese speech signal comprises;
Determine fundamental curve corresponding to each syllable in described at least one syllable;
Increase the slope of described fundamental curve;
Syllable corresponding to fundamental curve after synthetic described slope increases.
2. the method for claim 1, wherein described method is applicable to hearing-aid device;
After syllable corresponding to the fundamental curve after described synthetic described slope increases, described method further comprises:
Determine the corresponding relation of each syllable in each synthetic syllable and described at least one syllable;
According to the sequencing of each syllable in described at least one syllable in described pending Chinese speech signal, export successively the syllable behind corresponding synthetic of each syllable in described at least one syllable.
The method of claim 1, wherein described pending Chinese speech signal is carried out syllable splitting before, described method further comprises:
To set the Chinese speech signal that receives in the duration as described pending Chinese speech signal; Perhaps
The Chinese speech signal that has received is carried out end-point detection, with detected each section Chinese speech signal successively as described pending Chinese speech signal.
4. the method for claim 1, wherein describedly determine fundamental curve corresponding to each syllable in described at least one syllable, comprising:
For each syllable in described at least one syllable, obtain this syllable at the fundamental frequency of each sampling instant;
Utilize the fundamental frequency of each sampling instant that obtains to determine the fundamental curve that this syllable is corresponding.
5. method as claimed in claim 4, wherein, the slope of the described fundamental curve of described increase specifically comprises: increase slope and the mean value of described fundamental curve, described mean value refers to that this fundamental curve is at the mean value of the fundamental frequency of described each sampling instant.
6. method as claimed in claim 4, wherein, the slope of the described fundamental curve of described increase comprises:
For each fundamental curve in the described fundamental curve, increase the slope of this fundamental curve by following formula:
F0
new(n)＝C×(F0
origin(n)-F0
mean)
Wherein,
N is positive integer;
F0
New(n) fundamental curve after expression increases is at the fundamental frequency of n sampling instant;
F0
Origin(n) fundamental curve before expression increases is at the fundamental frequency of n sampling instant;
F0
MeanThe mean value of the fundamental curve before expression increases;
C represents slope adjustment parameter, and C is greater than 1.
7. method as claimed in claim 5, wherein, slope and the mean value of the described fundamental curve of described increase comprise:
For each fundamental curve in the described fundamental curve, increase slope and the mean value of this fundamental curve by following formula:
F0
new(n)＝C×(F0
origin(n)-F0
mean)+(1+M)×F0
mean
Wherein,
N is positive integer;
F0
New(n) fundamental curve after expression increases is at the fundamental frequency of n sampling instant;
F0
Origin(n) fundamental curve before expression increases is at the fundamental frequency of n sampling instant;
F0
MeanThe mean value of the fundamental curve before expression increases;
C represents slope adjustment parameter, and C is greater than 1;
M represents mean value adjustment parameter, and M is greater than 0.
8. such as each described method in the claim 1 to 7, wherein,
Before the slope of the described fundamental curve of described increase, described method further comprises: the tone kind of determining each syllable in described at least one syllable;
The slope of the described fundamental curve of described increase specifically comprises: according to the tone kind of each syllable in described at least one syllable, increase the slope of fundamental curve corresponding to this syllable.
9. Chinese speech signal processing apparatus, described device comprises:
Syllable splitting module (11) is used for pending Chinese speech signal is carried out syllable splitting, obtains at least one syllable that this pending Chinese speech signal comprises;
Fundamental curve determination module (12) is used for determining fundamental curve corresponding to described each syllable of at least one syllable;
Strengthen module (13), be used for increasing the slope of described fundamental curve;
Synthesis module (14) is for the synthesis of syllable corresponding to fundamental curve after the described slope increase.
10. device as claimed in claim 9, wherein, described device further comprises:
Output module (15), be used for determining each synthetic syllable and the corresponding relation of described at least one each syllable of syllable, according to the sequencing of each syllable in described at least one syllable in described pending Chinese speech signal, export successively the syllable behind corresponding synthetic of each syllable in described at least one syllable.
11. device as claimed in claim 9, wherein, described device further comprises:
Pending signal determination module (10), be used for to set the Chinese speech signal that receives in the duration as described pending Chinese speech signal, perhaps, the Chinese speech signal that has received is carried out end-point detection, with detected each section Chinese speech signal successively as described pending Chinese speech signal.
12. device as claimed in claim 9, wherein, described fundamental curve determination module (12), concrete each syllable that is used for for described at least one syllable, obtain this syllable at the fundamental frequency of each sampling instant, utilize the fundamental frequency of each sampling instant that obtains to determine the fundamental curve that this syllable is corresponding.
13. device as claimed in claim 12, wherein, described enhancing module (13), concrete slope and the mean value that is used for increasing described fundamental curve, described mean value refers to that this fundamental curve is at the mean value of the fundamental frequency of described each sampling instant.
14. device as claimed in claim 12, wherein, described enhancing module (13), concrete for each fundamental curve for described fundamental curve, increase the slope of this fundamental curve by following formula:
F0
new(n)＝C×(F0
origin(n)-F0
mean)
Wherein,
N is positive integer;
F0
New(n) fundamental curve after expression increases is at the fundamental frequency of n sampling instant;
F0
Origin(n) fundamental curve before expression increases is at the fundamental frequency of n sampling instant;
F0
MeanThe mean value of the fundamental curve before expression increases;
C represents slope adjustment parameter, and C is greater than 1.
15. device as claimed in claim 13, wherein, described enhancing module (13), concrete for each fundamental curve for described fundamental curve, increase slope and the mean value of this fundamental curve by following formula:
F0
new(n)＝C×(F0
origin(n)-F0
mean)+(1+M)×F0
mean
Wherein,
N is positive integer;
F0
New(n) fundamental curve after expression increases is at the fundamental frequency of n sampling instant;
F0
Origin(n) fundamental curve before expression increases is at the fundamental frequency of n sampling instant;
F0
MeanThe mean value of the fundamental curve before expression increases;
C represents slope adjustment parameter, and C is greater than 1;
M represents mean value adjustment parameter, and M is greater than 0.
16. a hearing-aid device, this hearing-aid device comprise such as each described device in the claim 9 to 15.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104093111A (en) * | 2014-03-25 | 2014-10-08 | 嘉兴益尔电子科技有限公司 | Digital hearing aid with Chinese tone enhancing method |
| CN105765654A (en) * | 2013-11-28 | 2016-07-13 | 弗劳恩霍夫应用研究促进协会 | Hearing assistance device with fundamental frequency modification |
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| US20060080087A1 (en) * | 2004-09-28 | 2006-04-13 | Hearworks Pty. Limited | Pitch perception in an auditory prosthesis |
| CN101301240A (en) * | 2008-05-21 | 2008-11-12 | 清华大学深圳研究生院 | Electric cochlea Chinese fixed electric stimulation amplitude changing pattern in vitro voice processing equipment |
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| US20060080087A1 (en) * | 2004-09-28 | 2006-04-13 | Hearworks Pty. Limited | Pitch perception in an auditory prosthesis |
| CN101301240A (en) * | 2008-05-21 | 2008-11-12 | 清华大学深圳研究生院 | Electric cochlea Chinese fixed electric stimulation amplitude changing pattern in vitro voice processing equipment |
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| Title |
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| JIAN LU, NORIHIRO UEMI, GANG LI, TOHRU IFUKUBE: "Tone Enhancement in Mandarin Speech for Listeners with Hearing Impairment", 《IEICE TRANS. INF.& SYST.,VOL. E84-D》, vol. 84, no. 5, 31 May 2001 (2001-05-31) * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105765654A (en) * | 2013-11-28 | 2016-07-13 | 弗劳恩霍夫应用研究促进协会 | Hearing assistance device with fundamental frequency modification |
| CN104093111A (en) * | 2014-03-25 | 2014-10-08 | 嘉兴益尔电子科技有限公司 | Digital hearing aid with Chinese tone enhancing method |
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