Linguistic versus personal variation in speech recognition
نویسنده
چکیده
This paper concerns the adaptation of automatic speech recognisers to new speakers. Existing recognisers, in their training and adaptation, treat between-speaker variation essentially as acoustic 'noise' and ignore s tructuring which originates at higher levels, caused for instance by accent differences. If a large-vocabulary recogniser is to cope efficiently with a realistic range of speakers it will have to incorporate linguistic knowledge about accents. A solution to the problern of disentangling accentual and personal characteristics of new voices is outlined, and the subsequent adaptation of different components of a recogniser is discussed.
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