Eighth ISCA Workshop on Speech Synthesis

Barcelona, Catalonia, Spain
August 31-September 2, 2013

Multi-variety adaptive acoustic modeling in HSMM-based speech synthesis

Markus Toman, Michael Pucher, Dietmar Schabus

Telecommunications Research Center (FTW), Vienna, Austria

In this paper we apply adaptive modeling methods in Hidden Semi-Markov Model (HSMM) based speech synthesis to the modeling of three different varieties, namely standard Austrian German, one Middle Bavarian (Upper Austria, Bad Goisern), and one South Bavarian (East Tyrol, Innervillgraten) dialect. We investigate different adaptation methods like dialect-adaptive training and dialect clustering that can exploit the common phone sets of dialects and standard, as well as speaker-dependent modeling. We show that most adaptive and speaker-dependent methods achieve a good score on overall (speaker and variety) similarity. Concerning overall quality there is no significant difference between adaptive methods and speaker-dependent methods in general for the present data set. Index Terms: speech synthesis, dialect, voice modeling, adaptation

Full Paper

Bibliographic reference.  Toman, Markus / Pucher, Michael / Schabus, Dietmar (2013): "Multi-variety adaptive acoustic modeling in HSMM-based speech synthesis", In SSW8, 83-87.