Interspeech'2005 - Eurospeech
Non-native and accent speakers often face problems when using a speaker-independent (SI) speech recognition system. Speaker adaptation has been a solution to make SI recognizer work better for individuals. Targeting embedded implementation and applications in fast changing mobile environments, we in this paper proposed a supervised speaker adaptation (SA) solution with low system resource consumption, minimized disturbance to the data structure of SI recognizer, and superior adaptation performance. Adapted by UK speakers on a digit recognition task, the US English speech recognizer produced 65.9% digit error reduction. Other advantages of the proposed SA method include the multi-speaker adaptation, the fast adaptation, and the little changed speaker independency after adaptation.
Bibliographic reference. Zhang, Yaxin / Wu, Bian / Ren, Xiaolin / He, Xin (2005): "A speaker biased SI recognizer for embedded mobile applications", In INTERSPEECH-2005, 253-256.