Next: Background
Optimal Data Selection for Unit Selection Synthesis
Alan W Black and
Kevin A. Lenzo
Carnegie Mellon University and
Cepstral, LLC
awb@cs.cmu.edu,
lenzo@cs.cmu.edu
This paper was publshied at
The 4th ISCA Worskop on Speech Synthesis
Abstract:
In this work, we address the issue of creating a set of utterances
with optimal coverage for reliable, high quality concatenative
synthesis, whether for general synthesis or domain synthesis. We
present an automatic method that takes into account the acoustic
distinctions made by a particular speaker and selects prompts from
large databases of typical utterances. A general unit selection
text-to-speech system created by this process can synthesize any input
text, but the output is best for content intended to be similar to
that in the database in terms of style, delivery, and coverage.
Alan W Black
2001-08-26