Speaker clustering for speech recognition using vocal tract parameters

Author:

Naito Masaki,Deng Li,Sagisaka Yoshinori

Publisher

Elsevier BV

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Linguistics and Language,Language and Linguistics,Communication,Modeling and Simulation,Software

Reference8 articles.

1. Speech Analysis Synthesis and Perception Second Expanded Edition;Flanagan,1983

2. Galvan, A., 1997. Études dans le cadre de l'inversion acoustico-articulatoire: Amélioration d'un modéle articulatoire, normalisation du locuteur et récuperation du lieu de constriction des plosives. Thése de l'Institut National Polytechnique de Grenoble Spécialité Sciences Cognitives

3. Galvan, A., Deng, L., 1998. Speaker-independent phonetic classification using an articulatory model for speaker normalization. Technical Report UW-E&CE #98-11, University of Waterloo, Canada

4. Kosaka, T., Sagayama, S., 1994. Tree-structured speaker clustering for fast speaker adaptation. In: Proc. ICASSP-94, pp. 245–248

5. HMM topology design using maximum likelihood successive state splitting;Ostendorf;Computer Speech and Language,1997

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1. A Simple Method for Speaker Recognition and Speaker Verification;Advances in Intelligent Systems and Computing;2020-08-11

2. On the application of quantum clustering on speech data;International Journal of Speech Technology;2017-09-19

3. An Effective Speaker Clustering Method using UBM and Ultra-Short Training Utterances;Archives of Acoustics;2016-03-01

4. Vocal-tract length estimation;Journal of Communications Technology and Electronics;2013-12

5. Light weight mobile device targeted speaker clustering algorithm;2008 IEEE 10th Workshop on Multimedia Signal Processing;2008-10

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