Transformations of LPC and LSF parameters to speech recognition features

Authors:
Vladimir Fabregas Surigué de Alencar;Abraham Alcaim
Affiliations:
Centro de Estudos em Telecomunicações – CETUC, Pontifícia Universidade Católica do Rio de Janeiro – PUC-RIO, Rio de Janeiro, RJ, Brazil;Centro de Estudos em Telecomunicações – CETUC, Pontifícia Universidade Católica do Rio de Janeiro – PUC-RIO, Rio de Janeiro, RJ, Brazil
Venue:
ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
Year:
2005

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Abstract

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.