Patent Document ID: 6141644
Application ID: 09148911

Base Claim:
1. A method for assessing speech with respect to a predetermined client speaker, comprising: training a set of speech models upon the speech from a plurality of training speakers, the plurality of training speakers including at least one client speaker; constructing an eigenspace to represent said plurality of training speakers by performing dimensionality reduction upon said set of models to generate a set of basis vectors that define said eigenspace; representing said client speaker as a first location in said eigenspace; processing new speaker input data by training a new speech model upon said input data and by performing dimensionality reduction upon said new speech model to generate a representation of said new speaker as a second location in eigenspace; assessing the proximity between said first and second locations and using said assessment as an indication of whether the new speaker is the client speaker.

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Claim 2:
2. A speaker identification method according claim 1 wherein said plurality of training speakers includes a plurality of different client speakers and wherein said method further comprises: representing each of said plurality of client speakers as training speaker locations in said eigenspace, and assessing the proximity between said second location and said training speaker locations and identifying said new speaker as a selected one of said plurality of client speakers based at least in part on said proximity assessment.