8th Annual Conference of the International Speech Communication Association

Antwerp, Belgium
August 27-31, 2007

Approaches for Adaptive Database Reduction for Text-to-Speech Synthesis

Aleksandra Krul (1), Géraldine Damnati (1), François Yvon (2), Cédric Boidin (1), Thierry Moudenc (1)

(1) France Télécom, France
(2) GET, France

This paper raises the issue of speech database reduction adapted to a specific domain for Text-To-Speech (TTS) synthesis application. We evaluate several methods: a database pruning technique based on the statistical behaviour of the unit selection algorithm and a database adaptation method based on the Kullback-Leibler divergence. The aim of the former is to eliminate the least selected units during the synthesis of a domain specific training corpus. The aim of the later approach is to build a reduced database whose unit distribution approximates a given target distribution. We evaluate these methods on several objective measures.

Full Paper

Bibliographic reference.  Krul, Aleksandra / Damnati, Géraldine / Yvon, François / Boidin, Cédric / Moudenc, Thierry (2007): "Approaches for adaptive database reduction for text-to-speech synthesis", In INTERSPEECH-2007, 2881-2884.