Patent ID: 8069042
Filing Date: 2011-11-29
Classification: G10L

Abstract:
1. A computer based method of acquiring a model pool of speech syllable models comprising: (a) at a computing device, detecting a training segment using unsupervised speech segmentation or speech unit spotting; (b) training a first speech syllable model and adding the first speech syllable model to the model pool responsive to the model pool being empty; (c) determining an existing model in the model pool that best matches the training segment responsive to the model pool not being empty, and using the existing model to score the training segment; (d) outputting a new model for the training segment and adding the new model to the model pool responsive to the score being less than a predefined threshold; (e) outputting a revised model to the model pool, the revised model representing a re-estimated version of the existing model generated from the existing model using the training segment responsive to the score being equal to or larger than the predetermined threshold; and (f) repeating steps (a) to (e).