Fourth European Conference on Speech Communication and Technology

Madrid, Spain
September 18-21, 1995

Speaker Adaptation Fitting Training Data Size And Contents

Masahiro Tonomura (1), Tetsuo Kosaka (1), Shoichi Matsunaga (1), Akito Monden (2)

(1) ATR Interpreting Telecommunications Research Labs., Soraku-gun, Kyoto, Japan
(2) Nara Institute of Science and Technology, Ikoma-city, Nara, Japan

This paper proposes a speaker adaptation algorithm that covers a wide range of adaptation data. The parameter smoothing technique improves adaptation performance for a small amount of adaptation data; however, this smoothing usually reduces adaptation efficiency for a large amount of adaptation data. Our method dynamically controls smoothing strength by using information on the amount of adaptation data to achieve good adaptation performance over a wide range of adaptation data. The proposed method is combined with the maximum a posteriori (MAP) estimation technique, and its effectiveness is shown on a Japanese 26 phoneme recognition test.

Full Paper

Bibliographic reference.  Tonomura, Masahiro / Kosaka, Tetsuo / Matsunaga, Shoichi / Monden, Akito (1995): "Speaker adaptation fitting training data size and contents", In EUROSPEECH-1995, 1147-1150.