Publications-Detail
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.Download
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