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 2:
2. The method as claimed in claim 1 , wherein segmenting or clustering comprises segmenting the frames using the modified acoustic feature vectors of the frames to identify change points in the speech data where the identity of the speaker changes.