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Artificial Bandwidth Extension of Speech Signals Using MMSE Estimation Based on a Hidden Markov Model

Authors:
Jax, P.Vary, P.
Book Title:
Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
Volume:
1
Pages:
p.p. 680-683
Address:
Hong Kong, China
Date:
Apr. 2003
Language:
English

Abstract

We present an algorithm to derive 7 kHz wideband speech from narrowband "telephone speech". A statistical approach is used that is based on a Hidden Markov Model (HMM) of the speech production process. A new method for the estimation of the wideband spectral envelope is proposed, using nonlinear state-specific techniques to minimize a mean square error criterion. In contrast to common memoryless estimation methods, additional information from adjacent signal frames can be exploited by utilizing the HMM. A consistent advantage of the new estimation rule is obtained compared to previously published HMM-based hard or soft classification methods.

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