Prof Amir Hussain A.Hussain@napier.ac.uk
Professor
Intelligibility improvements using binaural diverse sub-band processing applied to speech corrupted with automobile noise
Hussain, A.; Campbell, D.R.
Authors
D.R. Campbell
Abstract
The paper reports on experiments assessing the capability of a diverse processing, multi-microphone sub-band adaptive signal processing scheme for improving the intelligibility of speech corrupted with automobile noise. Results from formal listening tests demonstrate a significant improvement in the intelligibility and quality of the processed speech. Spoken digits corrupted with automobile noise at a low and a high signal-to-noise ratio were used with two commercial speech recognisers. The results obtained with the recognisers did not demonstrate any statistically significant improvement due to processing in sub-bands.
Journal Article Type | Article |
---|---|
Publication Date | 2001-04 |
Deposit Date | Oct 16, 2019 |
Journal | IEE Proceedings: Vision, Image and Signal Processing |
Print ISSN | 1350-245X |
Electronic ISSN | 1359-7108 |
Peer Reviewed | Peer Reviewed |
Volume | 148 |
Issue | 2 |
Pages | 127-132 |
DOI | https://doi.org/10.1049/ip-vis%3A20010178 |
Keywords | acoustic signal processing, adaptive signal processing, noise abatement, microphones, speech intelligibility, speech recognition, correlation methods, automobiles, hearing |
Public URL | http://researchrepository.napier.ac.uk/Output/1793784 |
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