On artificial bandwidth extension of telephone speech
Signal ProcessingPublished 19 May 2003
Peter Jax, Peter Vary
Citations158
SJR quartileQ1
SJR score0.96
SNIP1.51
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TL;DR
A statistical approach based on a hidden Markov model (HMM) is used, which takes into account several features of the band-limited speech, and enhanced speech exhibits a significantly improved quality without objectionable artifacts.
Abstract
We present a signal processing algorithm to convert speech signals with "standard telephone" quality into 7kHz wideband speech. A statistical approach based on a hidden Markov model (HMM) is used, which takes into account several features of the band-limited speech. The narrowband input signal is classified into a limited number of speech sounds (HMM states) for which the wideband spectral envelope is estimated using the pre-trained model. The enhanced speech exhibits a significantly improved quality without objectionable artifacts.
Keywords
Computer Science
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