Abstract
A method is discussed for characterizing speaker individuality that could be used for speaker adaptation for speaker-independent phoneme recognition. To represent the individual traits of speakers, a speaker space is organized using distributions in a vector-quantized space. This space includes 200 speakers, each shown as a point in it. The experimental results for 200-speaker identification with 10 input words shows performance rates of 82% in first-order and 90% in the second-order case.
| Original language | English |
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| Title of host publication | Proceedings - International Conference on Pattern Recognition |
| Publisher | IEEE |
| Pages | 1152-1154 |
| Number of pages | 3 |
| ISBN (Print) | 0818607424 |
| Publication status | Published - 1986 Dec 1 |
| Externally published | Yes |
Publication series
| Name | Proceedings - International Conference on Pattern Recognition |
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ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
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Cite this
Shirai, K., Mano, K., Ishige, S., & Sano, K. (1986). ORGANIZATION OF SPEAKER SPACE BASED ON VECTOR QUANTIZATION METHOD. In Proceedings - International Conference on Pattern Recognition (pp. 1152-1154). (Proceedings - International Conference on Pattern Recognition). IEEE.