The Romanian Speech Synthesis (RSS) corpus: building a high quality HMM-based speech synthesis system using a high sampling rate

Adriana Stan (1) , Junichi Yamagishi (2) , Simon King (2) , Matthew Aylett

1 Communications Department
2 Edin. - University of Edinburgh

This paper first introduces a newly-recorded high quality Romanian speech corpus designed for speech synthesis, called "RSS", along with Romanian front-end text processing modules and HMM-based synthetic voices built from the corpus. All of these are now freely available for academic use in order to promote Romanian speech technology research. The RSS corpus comprises 3500 training sentences and 500 test sentences uttered by a female speaker and was recorded using multiple microphones at 96kHz sampling frequency in a hemianechoic chamber. The details of the new Romanian text processor we have developed are also given.

Mots clés: speech synthesis; HTS; Romanian; HMMs; sampling frequency; auditory scale

Domaines: Linguistique

Adriana Stan, Junichi Yamagishi, Simon King, Matthew Aylett. The Romanian Speech Synthesis (RSS) corpus: building a high quality HMM-based speech synthesis system using a high sampling rate. Speech Communication, 2011, 53 (3), pp.442. ⟨10.1016/j.specom.2010.12.002⟩. ⟨hal-00722243⟩