INTERSPEECH 2007
8th Annual Conference of the International Speech Communication Association

Antwerp, Belgium
August 27-31, 2007

Application of CMLLR in Narrow Band Wide Band Adapted Systems

Martin Karafiát (1), Lukáš Burget (1), Jan Černocký (1), Thomas Hain (2)

(1) Brno University of Technology, Czech Republic
(2) University of Sheffield, UK

The amount of training data has a crucial effect on the accuracy of HMM based meeting recognition systems. Conversational telephone speech matches speech in meetings well. However it is naturally recorded with low bandwidth. In this paper we present a scheme that allows to transform wide-band meeting data into the same space for improved model training. The transformation into a joint space allows simpler and more efficient implementation of joint speaker adaptive training (SAT) as well as adaptation of statistics for heteroscedastic discriminant analysis (HLDA). Models are tested on the NIST RT'05 meeting evaluation where a relative reduction in word error rate of 4% was achieved. With the use of HLDA and SAT the improvement was retained.

Full Paper

Bibliographic reference.  Karafiát, Martin / Burget, Lukáš / Černocký, Jan / Hain, Thomas (2007): "Application of CMLLR in narrow band wide band adapted systems", In INTERSPEECH-2007, 282-285.