Intelligibility improvements using binaural diverse sub-band processing applied to speech corrupted with automobile noise

Hussain, A.; Campbell, D.R.

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.

Citation

Hussain, A., & Campbell, D. (2001). Intelligibility improvements using binaural diverse sub-band processing applied to speech corrupted with automobile noise. IEE Proceedings: Vision, Image and Signal Processing, 148(2), 127-132. https://doi.org/10.1049/ip-vis%3A20010178

• 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