Method of pattern recognition using noise reduction uncertainty

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.