Interspeech'2005 - Eurospeech

Lisbon, Portugal
September 4-8, 2005

Accent Detection and Speech Recognition for Shanghai-Accented Mandarin

Yanli Zheng (1), Richard Sproat (1), Liang Gu (2), Izhak Shafran (3), Haolang Zhou (3), Yi Su (3), Daniel Jurafsky (4), Rebecca Starr (4), Su-Youn Yoon (1)

(1) University of Illinois at Urbana-Champaign, USA; (2) IBM T.J. Watson Research Center, USA; (3) Johns Hopkins University, USA; (4) Stanford University, USA

As speech recognition systems are used in ever more applications, it is crucial for the systems to be able to deal with accented speakers. Various techniques, such as acoustic model adaptation and pronunciation adaptation, have been reported to improve the recognition of non-native or accented speech. In this paper, we propose a new approach that combines accent detection, accent discriminative acoustic features, acoustic adaptation and model selection for accented Chinese speech recognition. Experimental results show that this approach can improve the recognition of accented speech.

Full Paper

Bibliographic reference.  Zheng, Yanli / Sproat, Richard / Gu, Liang / Shafran, Izhak / Zhou, Haolang / Su, Yi / Jurafsky, Daniel / Starr, Rebecca / Yoon, Su-Youn (2005): "Accent detection and speech recognition for Shanghai-accented Mandarin", In INTERSPEECH-2005, 217-220.