Sixth European Conference on Speech Communication and Technology

Budapest, Hungary
September 5-9, 1999

Discounted Likelihood Linear Regression for Rapid Adaptation

William Byrne, Asela Gunawardana

Center for Language and Speech Processing, The Johns Hopkins University, Baltimore, MD, USA

Rapid adaptation schemes that employ the EM algorithm may suffer from overtraining problems when used with small amounts of adaptation data. An algorithm to alleviate this problem is derived within the information geometric framework of Csiszár and Tusnády, and is used to improve MLLR adaptation on NAB and Switchboard adaptation tasks. It is shown how this algorithm approximately optimizes a discounted likelihood cri-terion.

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Bibliographic reference.  Byrne, William / Gunawardana, Asela (1999): "Discounted likelihood linear regression for rapid adaptation", In EUROSPEECH'99, 203-206.