Clean speech reconstruction from noisy mel-frequency cepstral coefficients using a sinusoidal model

Shao, X. and Milner, B. P. (2003) Clean speech reconstruction from noisy mel-frequency cepstral coefficients using a sinusoidal model. In: IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2005-03-18 - 2005-03-23.

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Abstract

This paper extends the technique of speech reconstruction from MFCC by considering the effect of noisy speech. To reconstruct a clean speech signal from noise contaminated MFCC an estimate of the clean mel-filterbank vector is required together with a robust estimate of the pitch. This work applies spectral subtraction to the mel-filterbank vector (derived from noisy MFCC) to provide a clean speech spectral estimate. To obtain a reliable estimate of pitch a robust extraction technique is used. Spectrograms and informal listening tests reveal that a clean speech signal can be successfully reconstructed from the noisy MFCC. Pitch errors are shown to manifest themselves as artificial sounding bursts in the reconstructed speech signal. Incorrect estimates of the spectral envelope introduce periods of noise into the reconstructed speech.

Item Type: Conference or Workshop Item (Other)
Faculty \ School: Faculty of Science > School of Computing Sciences
UEA Research Groups: Faculty of Science > Research Groups > Interactive Graphics and Audio
Faculty of Science > Research Groups > Smart Emerging Technologies
Depositing User: EPrints Services
Date Deposited: 01 Oct 2010 13:41
Last Modified: 16 Jul 2024 07:30
URI: https://ueaeprints.uea.ac.uk/id/eprint/3051
DOI: 10.1109/ICASSP.2003.1198878

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