Websdale, Danny, Le Cornu, Thomas and Milner, Ben (2015) Objective measures for predicting the intelligibility of spectrally smoothed speech with artificial excitation. In: Interspeech 2015, 2015-09-06 - 2015-09-10.
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Abstract
A study is presented on how well objective measures of speech quality and intelligibility can predict the subjective in- telligibility of speech that has undergone spectral envelope smoothing and simplification of its excitation. Speech modi- fications are made by resynthesising speech that has been spec- trally smoothed. Objective measures are applied to the mod- ified speech and include measures of speech quality, signal- to-noise ratio and intelligibility, as well as proposing the nor- malised frequency-weighted spectral distortion (NFD) measure. The measures are compared to subjective intelligibility scores where it is found that several have high correlation (|r| ≥ 0.7), with NFD achieving the highest correlation (r = −0.81)
Item Type: | Conference or Workshop Item (Paper) |
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Faculty \ School: | Faculty of Science > School of Computing Sciences Faculty of Science |
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: | 23 Dec 2015 13:00 |
Last Modified: | 10 Dec 2024 01:15 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/55879 |
DOI: |
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