Speaker clustering apparatus based on feature quantities of voca

Details Speaker clustering apparatus based on feature quantities of voca Speaker clustering apparatus based on feature quantities of voca

1998-12-10

1999-11-09

Wieland, Susan

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

704256, 704261, G10L 300

Patent

active

059831782

ABSTRACT:
A speaker clustering apparatus generates HMMs for clusters based on feature quantities of a vocal-tract configuration of speech waveform data, and a speech recognition apparatus provided with the speaker clustering apparatus. In response to the speech waveform data of N speakers, an estimator estimates feature quantities of vocal-tract configurations, with reference to correspondence between vocal-tract configuration parameters and Formant frequencies predetermined based on a predetermined vocal tract model of a standard speaker. Further, a clustering processor calculates speaker-to-speaker distances between the N speakers based on the feature quantities of the vocal-tract configurations of the N speakers as estimated, and clusters the vocal-tract configurations of the N speakers using a clustering algorithm based on calculated speaker-to-speaker distances, thereby generating K clusters. Then the clustering processor trains an initial HMM based on the speech waveform data of speakers respectively belonging to the generated K clusters, thereby generating K hidden Markov models corresponding to the K clusters.

REFERENCES:
G. Fant, "Non-Uniform Vowel Nowael Normalization"; Speech Transmission Laboratory Quarterly Progress and Status Report, vol. 2-3, pp. 1-19, 1975.
Tetsuo Kosaka et al.; "Speaker-Independent Speech Recognition Based On Tree-Structure Speaker Clustering", Computer Speech and Language, No. 10, pp. 55-74, 1996.

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