ISCA Archive ICSLP 1994
ISCA Archive ICSLP 1994

Speaker independent speech recognition method using phoneme similarity vector

Masakatsu Hoshimi, Maki Yamada, Katsuyuki Niyada

We are developing a speaker independent speech recognition method using the similarity vectors as feature parameters. In this paper we present the feasibility of the technique in practical usage by downsizing the algorithm and improving the word spotting technique. When tested with 100 Japanese city names in noisy environments, a word recognition rate 95.9% was obtained with reduced memory size and computation amount. We expect that the method can be implemented in a small hardware.


Cite as: Hoshimi, M., Yamada, M., Niyada, K. (1994) Speaker independent speech recognition method using phoneme similarity vector. Proc. 3rd International Conference on Spoken Language Processing (ICSLP 1994), 1915-1918

@inproceedings{hoshimi94_icslp,
  author={Masakatsu Hoshimi and Maki Yamada and Katsuyuki Niyada},
  title={{Speaker independent speech recognition method using phoneme similarity vector}},
  year=1994,
  booktitle={Proc. 3rd International Conference on Spoken Language Processing (ICSLP 1994)},
  pages={1915--1918}
}