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US 8,554,563 B2Granted
Method and system for speaker diarization
AssigneeNuance Communications, Inc.
InventorHagai Aronowitz
Life of this patent
Estimating the term…
Abstract
A method and system for speaker diarization are provided. Pre-trained acoustic models of individual speaker and/or groups of speakers are obtained. Speech data with multiple speakers is received and divided into frames. For a frame, an acoustic feature vector is determined extended to include log-likelihood ratios of the pre-trained models in relation to a background population model. The extended acoustic feature vector is used in segmentation and clustering algorithms.
Claims11
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.
6 more elements
A method of providing a service to a customer over a network, the service comprising:
- 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.
6 more elements
Dependencies are inferred from the claim text.