Sixth International Conference on Spoken Language Processing
(ICSLP 2000)

Beijing, China
October 16-20, 2000

Robust Recognition Using Multiple Utterances

Yoram Meron, Keikichi Hirose

Dept. of Information and Communication Engineering, Faculty of Engineering, The University of Tokyo, Bunkyo-ku, Tokyo, Japan

Increasing the reliability of the results of automatic speech recognition systems is an important research and development issue. Although recent systems have been shown to achieve quite high recognition results for limited tasks, this may not be good enough for some applications, where some bits of information are critical, and have to be recognized correctly. In this paper, we suggest a method for the improvement of the robustness of speech recognition, using a speaker independent HMM, of either a word, phrase, or a full sentence, by taking advantage of repeated utterances of the same content. The method can be applied to most configurations of HMM based recognizers, and does not require additional model training. Recognition experiments showed improvement in recognition accuracy, under quiet and noisy conditions.


Full Paper

Bibliographic reference.  Meron, Yoram / Hirose, Keikichi (2000): "Robust recognition using multiple utterances", In ICSLP-2000, vol.4, 238-241.