Computer-implemented methods and systems for modeling and recognition of speech

Abstract

In accordance with the present invention, computer implemented methods and systems are provided for representing and modeling the temporal structure of audio signals. In response to receiving a signal, a time-to-frequency domain transformation on at least a portion of the received signal to generate a frequency domain representation is performed. The time-to-frequency domain transformation converts the signal from a time domain representation to the frequency domain representation. A frequency domain linear prediction (FDLP) is performed on the frequency domain representation to estimate a temporal envelope of the frequency domain representation. Based on the temporal envelope, one or more speech features are generated.

1 . A method of extracting speech features from signals for use in performing automatic speech recognition, the method comprising:
 receiving a signal;   performing a time-to-frequency domain transformation on at least a portion of the received signal to generate a frequency domain representation;   performing a frequency domain linear prediction on the frequency domain representation to estimate a temporal envelope of the frequency domain representation; and   generating at least one speech feature based at least in part on the temporal envelope.