11th Annual Conference of the International Speech Communication Association

Makuhari, Chiba, Japan
September 26-30. 2010

Dynamic Language Model Adaptation Using Keyword Category Classification

Hitoshi Yamamoto (1), Ken Hanazawa (1), Kiyokazu Miki (1), Koichi Shinoda (2)

(1) NEC Corporation, Japan
(2) Tokyo Institute of Technology, Japan

This paper describes a language model adaptation method for improving speech recognition of keywords in spoken queries occurring in information retrieval tasks. The method dynamically adapts language models to keyword categories within a single utterance; it first estimates keyword categories and their positions in an input query utterance and then dynamically changes the weights for language models designed for individual keyword categories on the basis of the estimation results. The method has been evaluated in speech recognition experiments on television program retrieval tasks and has demonstrated a 22.0% reduction in keyword error rates.

Full Paper

Bibliographic reference.  Yamamoto, Hitoshi / Hanazawa, Ken / Miki, Kiyokazu / Shinoda, Koichi (2010): "Dynamic language model adaptation using keyword category classification", In INTERSPEECH-2010, 2426-2429.