Predictive speech coding improvements based on speaker recognition strategies

Authors:
Marcos Faundez-Zanuy
Affiliations:
Escola Universitària Politècnica de Mataró, Universitat Politècnica de Catalunya, Barcelona Spain
Venue:
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Year:
2005

Citing 2
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Abstract

This paper compares the speech coder and speaker recognizer applications, showing some parallelism between them. In this paper, some approaches used for speaker recognition are applied to speech coding based on neural networks, in order to improve the prediction accuracy. Experimental results show an improvement in Segmental SNR (SEGSNR) up to 1.7 dB.