Sixth International Conference on Spoken Language Processing
(ICSLP 2000)

Beijing, China
October 16-20, 2000

Telephone Speech Recognition from Large Lists of Czech Words

Jan Nouza

Technical University of Liberec, Department of Electronics and Signal Processing, Liberec, Czech Republic

In the paper we investigate methods suitable for practical implementation in a recognition system that is to classify telephone input in form of isolated words/phrases belonging to large vocabularies with equiprobable entries, such as people names, city and local names, etc. Specifically for Czech language we propose a pronunciation lexicon with a prefix-stem-sufix arrangement combined with appropriate caching and pruning techniques and a 2-level (monophone and triphone) based classification. In experiments done with telephone speech containing items from a 5347-word city-name vocabulary we obtained 90.1 % recognition score in average time 645 ms per word. Acoustic models for these experiments have been trained on an only available multi-speaker database that was originally recorded by a microphone and later transferred over telephone lines and automatically realigned.


Full Paper

Bibliographic reference.  Nouza, Jan (2000): "Telephone speech recognition from large lists of Czech words", In ICSLP-2000, vol.4, 394-397.