Patent ID: 7930181
Filing Date: 2011-04-19
Classification: G10L

Abstract:
1. In a system that performs real-time automatic speech recognition and transcription, a method for recognizing speech comprising: performing front-end processing on a received speech signal to obtain feature vectors, wherein the feature vectors have N dimensions; applying an acoustic model to the feature vectors; at a first time, computing and storing a requested Gaussian likelihood for K frames based on a current frame, wherein the Gaussian likelihood is computed for the current frame associated with a first time and a plurality of future frames in the K frames, the future frames being associated with future speech not yet received, the future speech to be uttered at a second time which is later than the first time; performing presegmentation on the received speech signal based on a language model including a recognition network, wherein the presegmentation is reduced by replacing the language model with its closure by adding a free transition from a set of final states to a start state of the recognition network, wherein a plurality of sentences are recognized as a single utterance; recognizing in real time the received speech signal and the future speech based at least in part on the Gaussian likelihood computed for the current frame; and transcribing in real time the received speech signal and the future speech based at least in part on the Gaussian likelihood computed for the current frame.