Patent ID: 7460992
Filing Date: 2008-12-02
Classification: G10L

Abstract:
1. A method of recognizing acoustic states from a noisy speech signal, the method comprising: removing noise from a representation of a portion of the noisy speech signal to produce a representation of a portion of a cleaned speech signal, wherein removing noise from a representation of a portion of a noisy speech signal comprises removing noise from a feature vector representing a frame of the noisy speech signal and wherein removing noise from a feature vector comprises: identifying a mixture component based on the feature vector for the noisy speech signal; identifying a correction vector and an error value associated with the correction vector based on the identified mixture component; and using the correction vector, the error value, and the feature vector for the noisy speech signal to identify a feature vector for a frame of the cleaned speech signal; identifying an uncertainty associated with removing the noise; using the uncertainty to adjust a probability distribution associated with an acoustic state to form a modified probability distribution; and applying the representation of a portion of the cleaned speech signal to the modified probability distribution to decode an acoustic state for speech recognition.