Patent Document ID: 8554563
Application ID: 13609793

Base Claim:
1. A method for speaker diarization, comprising the steps of: obtaining pre-trained acoustic models of individual speakers and/or groups of speakers; receiving speech data with multiple speakers; dividing the speech data into frames; and for each of a plurality of frames, determining an acoustic feature vector modified to include elements representing for one or more of the pre-trained acoustic models, a probability that the speaker of the frame is the speaker of the pre-trained acoustic model; and segmenting or clustering the received speech using the modified feature vectors of the plurality of frames, wherein said steps are implemented in either of: a) computer hardware configured to perform said steps, or b) computer software embodied in a non-transitory, tangible, computer-readable storage medium.

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Claim 7:
7. The method as claimed in claim 1 , including applying speaker identification to clustered segments using the pre-trained models.