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Seminar at Speech, Music and Hearing:

Robust speech recognition and understanding

Sadaoki Furui, Tokyo Institute of Technology

Kortkurs vid CTT - Även deltagare utanför CTT är mycket välkomna!

Abstract

This talk overviews the major methods that have recently been investigated for making speech recognition systems more robust at both acoustic and language processing levels. Improved robustness will enable such systems to work well over a wide range of unexpected and adverse conditions by helping them to cope with mismatches between training and testing speech utterances. This talk focuses on stochastic matching framework for model parameter adaptation, use of constraints in adaptation, automatic speaker change detection and adaptation, noisy speech recognition using tree-structured noise-adapted HMMs, spontaneous speech recognition, approaches using dynamic Bayesian networks, and multimodal speech recognition.

09:30 - 11:30
Tuesday May 31, 2005

The seminar is held in Fantum.

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Last updated: Wednesday, 23-Jun-2010 09:22:46 MEST