Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Language-independent and language-adaptive acoustic modeling for speech recognition
Speech Communication
Towards language independent acoustic modeling
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
Language-dependent state clustering for multilingual acoustic modelling
Speech Communication
Pronunciation prediction with Default&Refine
Computer Speech and Language
HIV health information access using spoken dialogue systems: touchtone vs. speech
ICTD'09 Proceedings of the 3rd international conference on Information and communication technologies and development
Subword variation in text message classification
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
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We describe the Lwazi corpus for automatic speech recognition (ASR), a new telephone speech corpus which includes data from nine Southern Bantu languages. Because of practical constraints, the amount of speech per language is relatively small compared to major corpora in world languages, and we report on our investigation of the stability of the ASR models derived from the corpus. We also report on phoneme distance measures across languages, and describe initial phone recognisers that were developed using this data.