Publications – Details
Artificial Bandwidth Extension of Speech Signals Using MMSE Estimation Based on a Hidden Markov Model
- Autoren:
- Peter Jax und Peter Vary
- Buchtitel:
- Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
- Band:
- 1
- Veranstaltungsort:
- Hong Kong, China
- Veröffentlich.datum:
- Apr. 2003
- Seiten:
- 680–683
- Sprache:
- Englisch
Kurzfassung
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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