12th Annual Conference of the International Speech Communication Association

Florence, Italy
August 27-31. 2011

Can Objective Measures Predict the Intelligibility of Modified HMM-Based Synthetic Speech in Noise?

Cassia Valentini-Botinhao, Junichi Yamagishi, Simon King

University of Edinburgh, UK

Synthetic speech can be modified to improve intelligibility in noise. In order to perform modifications automatically, it would be useful to have an objective measure that could predict the intelligibility of modified synthetic speech for human listeners. We analysed the impact on intelligibility . and on how well objective measures predict it.when we separately modify speaking rate, fundamental frequency, line spectral pairs and spectral peaks. Shifting LSPs can increase intelligibility for human listeners; other modifications had weaker effects. Among the objective measures we evaluated, the Dau model and the Glimpse proportion were the best predictors of human performance.

Full Paper

Bibliographic reference.  Valentini-Botinhao, Cassia / Yamagishi, Junichi / King, Simon (2011): "Can objective measures predict the intelligibility of modified HMM-based synthetic speech in noise?", In INTERSPEECH-2011, 1837-1840.