Transformations of LPC and LSF Parameters to Speech Recognition Features

In this paper, we describe and present an overall evaluation of several features for distributed speech recognition systems. These systems are based on a client-server architecture. This means that recognizers access only the coded parameters of the speech coder employed in communication networks (e.g., cellular mobile and IP networks). The recognition features considered in this paper are obtained from transformations of codec parameters. In particular, features generated from LPC and LSF parameters, in intervals of 10 ms and 20 ms, are analyzed in a continuous observation HMM-based speaker independent recognizer.