EUROSPEECH 2001 Scandinavia
7th European Conference on Speech Communication and Technology

Aalborg, Denmark
September 3-7, 2001


Speech Recognition of Japanese News Commentary

Shinichi Homma, Akio Kobayashi, Shoei Sato, Toru Imai, Akio Ando

NHK (Japan Broadcasting Corp.), Japan

This paper describes some improvements in speech recognition of broadcast news commentary in Japanese. Since news commentary speech has different linguistic and acoustic features from read speech, it gives lower word recognition accuracy. In this paper we apply to news manuscripts some rules which represent the linguistic features of news commentaries, and generate word sequences for language model adaptation. We also use a large volume of transcriptions of news programs as training texts. Acoustic models are speaker-adapted and their structures are changed so as to recognize relatively short phonemes, because we found the speech rate of news commentary is sometimes much faster than that of read speech. Furthermore, by using a decoder that can handle cross-word triphone models, we reduced the word error rate by 32%.

Full Paper

Bibliographic reference.  Homma, Shinichi / Kobayashi, Akio / Sato, Shoei / Imai, Toru / Ando, Akio (2001): "Speech recognition of Japanese news commentary", In EUROSPEECH-2001, 859-862.