US 4,060,694 AGranted

Speech recognition method and apparatus adapted to a plurality of different speakers

AssigneeFuji Xerox Co., Ltd.

InventorsMatsumi Suzuki, Tetsuro Morino, Shozo Yokota

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Abstract

Speech recognition in prior art uses one extracted characteristic component (x.sub.i) to represent one phoneme (X.sub.i) as spoken by one speaker. This invention provides for recognizing the same phoneme as spoken by different speakers, by deriving a group of such components (x.sub.ik), each a slight variant of the others, to allow finding one component most similar to both the specific phoneme and specific speaker, the method comprising the steps of: normalizing the sound pressure level of an input speech from an unknown speaker; analyzing the normalized voice in a plurality of channels having different frequencies; setting, with respect to the output F.sub.j of each frequency band thus analyzed, a weight .alpha..sub.j of the output F.sub.j so that weight .alpha..sub.j corresponds to a characteristic of a predetermined phoneme X.sub.i ; extracting the characteristic component x.sub.i of the phoneme X.sub.i, setting a weight .beta..sub.j of output F.sub.j so that, when the extracted characteristic component x.sub.i causes a malfunction or error due to another phoneme X.sub.e, a characteristic of phoneme X.sub.e is corresponded to; simultaneously extracting the characteristic component x.sub.e of phoneme X.sub.e and, when the difference between the characteristic components thus extracted is greater than a predetermined threshold value .gamma..sub.i, applying the difference as a characteristic parameter for the phoneme x.sub.i ; expanding the characteristic parameter to obtain a characteristic parameter group based on the characteristic parameter, each being slightly different from each other so as to be adapted for individual characteristics of different speakers; subsequently extracting from the characteristic parameter group a characteristic parameter, having maximum similarity to a reference parameter previously memorized, as an adaptive parameter adaptive to the unknown speaker; and, matching a standard pattern derived from the extracted adaptive parameters with an unknown pattern corresponding to the unknown speakers, thereby effecting recognition or analysis of the voice.

Claims2

Dependent claims

Speech recognition method adapted to a plurality of speakers comprising the steps of

storing a plurality of reference parameters for a reference speaker where said reference parameters comprise a sentence of a predetermined vocabulary;
first extracting a characteristic parameter for each phoneme from said sentence when it is uttered by said reference speaker, and
storing a characteristic parameter corresponding to each said phoneme during said storing step where all of said characteristic parameters comprise said reference parameters and where each characteristic parameter x.sub.i is extracted in accordance with the following equation ##EQU9## the foregoing equation being implemented by (a) dividing each phoneme into n frequency bands where F.sub.j is the output of the j.sup.th band, (b) respectively weighting each of the outputs the bands where the weight for the j.sup.th band for x.sub.i is .alpha..sub.j and the weight for a phoneme which can erroneously be recognized as x.sub.i is .beta..sub.j, (c) establishing a predetermined threshold .gamma..sub.i and (d) subtracting the .beta..sub.j weighted F.sub.j outputs and .gamma..sub.i from the .alpha..sub.j weighted F.sub.j outputs to obtain x.sub.i ;
extracting the characteristic parameters from said sentence when uttered by an unknown speaker in accordance with the following equation ##EQU10## where k = 0, 1, 2, . . . p-1, the foregoing equation being implemented by said first extracting step and p-1 further extracting steps where each of said further extracting step comprises the same steps (a) through (d) comprising said first extracting step except for respective variations in the values of .alpha..sub.j and .beta..sub.j where .alpha..sub.jk is the k.sup.th variation of .alpha..sub.j and .beta..sub.jk is the k.sup.th variation of .beta..sub.j whereby p characteristic parameters are extracted for each phoneme of said sentence;
individually comparing said p characteristic parameters of each phoneme with the reference characteristic parameter extracted for said phoneme from said sentence uttered by said reference speaker;
selecting for each said phoneme the one characteristic parameter from said p characteristic parameters which most closely compares with said reference characteristic parameters,
in response to the selected characteristic parameter, selecting from the first extracting steps and said further extracting steps that extracting step which extracted the selected characteristic parameter for each phoneme whereby the selected extracting step is then employed for said unknown speaker;
and
in response to the selected extracting step, utilizing the characteristic parameters of any sentence using said vocabulary uttered by said unknown speaker to effect recognition of said last-mentioned sentence.

6 more elements

Speech recognition apparatus adapted to a plurality of speakers comprising

means for storing a plurality of reference parameters for a reference speaker where said reference parameters comprise a sentence of a predetermined vocabulary;
first extracting means for extracting a characteristic parameter for each phoneme from said sentence when it is uttered by said reference speaker, and
storing a characteristic parameter corresponding to each said phoneme in said storing means where all of said characteristic parameters comprise said reference parameters and where each characteristic parameter x.sub.i is extracted in accordance with the following equation ##EQU11## the foregoing equation being implemented by (a) means for dividing each phoneme into n frequency bands where F.sub.j is the output of the j.sup.th band, (b) means for respectively weighting each of the outputs the bands where the weight for the j.sup.th band for x.sub.i is .alpha..sub.j and the weight for a phoneme which can erroneously be recognized as x.sub.i is .beta..sub.j, (c) means for establishing a predetermined threshold .gamma..sub.i and (d) means for subtracting the .beta..sub.j weighted F.sub.j outputs and .gamma..sub.i from the .alpha..sub.j weighted F.sub.j outputs to obtain x.sub.i ;
second extracting means for extracting the characteristic parameters from said sentence when uttered by an unknown speaker in accordance with the following equation ##EQU12## where k = 0, 1, 2, . . . p-1, the foregoing equation being implemented by said first extracting means and p-1 further extracting means where each of said further extracting means comprises the same (a) through (d) comprising said first extracting means except for respective variations in the values of .alpha..sub.j and .beta..sub.j where .alpha..sub.jk is the k.sup.th variation of .alpha..sub.j and .beta..sub.jk is the k.sup.th variation of .beta..sub.j whereby p characteristic parameters are extracted for each phoneme of said sentence;
means for individually comparing said p characteristic parameters of each phoneme with the reference characteristic parameter extracted for said phoneme from said sentence uttered by said reference speaker;
means for selecting for each said phoneme the one characteristic parameter from said p characteristic parameters which most closely compares with said reference characteristic parameter,
adaptive discriminating means responsive to the selected characteristic parameter for selecting from the first extracting means and said further extracting means that extracting means which extracted the selected characteristic parameter for each phoneme whereby the selected extracting means are then employed for said unknown speaker;
and
means responsive to the selected extracting means to utilize the characteristic parameters of any sentence using said vocabulary uttered by said unknown speaker to effect recognition of said last-mentioned sentence.

6 more elements

Dependencies are inferred from the claim text.