Robustness in Automatic Speech Recognition: Fundamentals and Applications
Robustness in Automatic Speech Recognition: Fundamentals and Applications
Progress in the CU-HTK broadcast news transcription system
IEEE Transactions on Audio, Speech, and Language Processing
An on-line system for remote treatment of aphasia
SLPAT '11 Proceedings of the Second Workshop on Speech and Language Processing for Assistive Technologies
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Automatic transcription of telephone speech involves additional challenges compared to wideband data processing, mainly due to channel limitations and to particular characteristics of conversational telephone speech. While in TV speech recognition applications, such as automatic transcription of broadcast news, the presence of telephone data is nearly insignificant (less than 1 %), in most radio broadcast stations the presence of telephone speech grows significantly. Thus, transcription of telephone speech data deserves special attention in radio broadcast applications. In this work, we describe our initial efforts to tackle this particular problem. First, a telephone channel classifier is proposed to automatically detect telephone segments. Then, some strategies for increasing robustness of the automatic transcription system are investigated.