Sixth International Conference on Spoken Language Processing
(ICSLP 2000)

Beijing, China
October 16-20, 2000

Dynamic Adaptation of Vocabulary Independent HMMs to an Application Environment

Claudio Vair (1), Luciano Fissore (1), Pietro Laface (2)

(1) CSELT - Centro Studi e Laboratori Telecomunicazioni, Torino, Italy
(2) Dipartimento di Automatica e Informatica - Politecnico di Torino, Italy

The paper presents a software architecture allowing to collect, select, and exploit speech data from a specific application field to dynamically generate Hidden Markov Models tailored to that application environment and vocabulary. The framework we are interested in is, therefore, an already operational voice activated service that allows to collect directly from the field a large amount of speech data. We propose a procedure for data selection and for incremental training of the units using a strategy of model selection. Several tests are presented for a train timetable information system, and for a Directory Assistance application with a very large vocabulary of city names showing that significant improvements can be obtained with respect to the laboratory models, keeping the old models and transcribing only the most frequent words in terms of the new units, incrementally trained from the field data.


Full Paper

Bibliographic reference.  Vair, Claudio / Fissore, Luciano / Laface, Pietro (2000): "Dynamic adaptation of vocabulary independent HMMs to an application environment", In ICSLP-2000, vol.2, 839-842.