초록 ▼

A system and method for performing speaker adaptation in a speech recognition system which includes a set of reference models corresponding to speech data from a plurality of speakers. The speech data is represented by a plurality of acoustic models and corresponding sub-events, and each sub-event i

A system and method for performing speaker adaptation in a speech recognition system which includes a set of reference models corresponding to speech data from a plurality of speakers. The speech data is represented by a plurality of acoustic models and corresponding sub-events, and each sub-event includes one or more observations of speech data. A degree of lateral tying is computed between each pair of sub-events, wherein the degree of tying indicates the degree to which a first observation in a first sub-event contributes to the remaining sub-events. When adaptation data from a new speaker becomes available, a new observation from adaptation data is assigned to one of the sub-events. Each of the sub-events is then populated with the observations contained in the assigned sub-event based on the degree of lateral tying that was computed between each pair of sub-events. The reference models corresponding to the populated sub-events are then adapted to account for speech pattern idiosyncrasies of the new speaker, thereby reducing the error rate of the speech recognition system.

대표청구항 ▼

[ What is claimed is:] [1.] A method of performing speaker adaptation in a speech recognition system which includes a set of reference models corresponding to speech data from a plurality of speakers, the speech data represented by a plurality of acoustic models and corresponding sub-events, wherein

[ What is claimed is:] [1.] A method of performing speaker adaptation in a speech recognition system which includes a set of reference models corresponding to speech data from a plurality of speakers, the speech data represented by a plurality of acoustic models and corresponding sub-events, wherein each sub-event includes one or more observations of speech data, the method comprising the steps of:(a) computing a degree of lateral tying between each pair of sub-events, wherein the degree of tying indicates the degree to which a first observation in a first sub-event contributes to the remaining sub-events;(b) assigning a new observation from adaptation data of a new speaker to one of the sub-events;(c) populating each of the sub-events with a transformed version of the observation contained in the assigned sub-event based on the degree of lateral tying computed between each pair of sub-events;(d) adapting the reference models that correspond to the populated sub-events to account for speech pattern idiosyncrasies of the new speaker, thereby reducing the error rate of the speech recognition system.