8th Annual Conference of the International Speech Communication Association

Antwerp, Belgium
August 27-31, 2007

Noise Suppression Using Search Strategy with Multi-Model Compositions

Takatoshi Jitsuhiro, Tomoji Toriyama, Kiyoshi Kogure

ATR-KSL, Japan

We introduce a new noise suppression method by using a search strategy with multi-model compositions that includes the following models: speech, noise, and their composites. Before noise suppression, a beam search is performed to find the best sequences of these models using noise acoustic models, noise-label n-gram models, and a noise-label lexicon. Noise suppression is frame-synchronously performed by the multiple models selected by the search. We evaluated this method using the E-Nightingale task, which contains voice memoranda spoken by nurses during actual work at hospitals. For this difficult task, the proposed method obtained a 21.6% error reduction rate.

Full Paper

Bibliographic reference.  Jitsuhiro, Takatoshi / Toriyama, Tomoji / Kogure, Kiyoshi (2007): "Noise suppression using search strategy with multi-model compositions", In INTERSPEECH-2007, 1078-1081.