European Conference on Speech Technology

Edinburgh, Scotland, UK
September 1987

Speaker Adaptive Phoneme Recognition in Continuous Speech Based on Vector Quantization

Katsuhiko Shirai, Kazunori Mano, Koji Sano

Department of Electrical Engineering, Waseda University, Tokyo, Japan

To realize a large vocabulary continuous speech recognition, phoneme level recognition and speaker adaptation techniques are fundamental. And also, it is necessary - to develop an effective procedure of selecting possible word candidates from the large word dictionary. This paper proposes a new method applicable for continuous speech recognition which is based on a vector quantization (VQ) technique.

Full Paper

Bibliographic reference.  Shirai, Katsuhiko / Mano, Kazunori / Sano, Koji (1987): "Speaker adaptive phoneme recognition in continuous speech based on vector quantization", In ECST-1987, 2435.