Reconstruction-based speech enhancement from robust acoustic features

Harding, Philip and Milner, Ben (2015) Reconstruction-based speech enhancement from robust acoustic features. Speech Communication, 75. pp. 62-75. ISSN 0167-6393

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Abstract

This paper proposes a method of speech enhancement where a clean speech signal is reconstructed from a sinusoidal model of speech production and a set of acoustic speech features. The acoustic features are estimated from noisy speech and comprise, for each frame, a voicing classification (voiced, unvoiced or non-speech), fundamental frequency (for voiced frames) and spectral envelope. Rather than using different algorithms to estimate each parameter, a single statistical model is developed. This comprises a set of acoustic models and has similarity to the acoustic modelling used in speech recognition. This allows noise and speaker adaptation to be applied to acoustic feature estimation to improve robustness. Objective and subjective tests compare reconstruction-based enhancement with other methods of enhancement and show the proposed method to be highly effective at removing noise.

Item Type:	Article
Uncontrolled Keywords:	speech enhancement,noise reduction,adaptation,sinusoidal model
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 Faculty of Science > Research Groups > Data Science and AI
Depositing User:	Pure Connector
Date Deposited:	22 Dec 2015 14:07
Last Modified:	10 Dec 2024 01:26
URI:	https://ueaeprints.uea.ac.uk/id/eprint/55856
DOI:	10.1016/j.specom.2015.09.011

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