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CSTR VCTK Corpus |
English Multi-speaker Corpus for CSTR Voice Cloning Toolkit |
(Version 0.80) |
RELEASE August 2012 |
The Centre for Speech Technology Research |
University of Edinburgh |
Copyright (c) 2012 |
Junichi Yamagishi |
jyamagis@inf.ed.ac.uk |
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Overview |
This CSTR VCTK Corpus includes speech data uttered by 109 English |
speakers with various accents. Each speaker reads out about 400 |
sentences, which were selected from a newspaper, the rainbow passage |
and an elicitation paragraph used for the speech accent archive. |
The newspaper texts were taken from Herald Glasgow, with permission |
from Herald & Times Group. Each speaker has a different set of the |
newspaper texts selected based a greedy algorithm that increases the |
contextual and phonetic coverage. |
The rainbow passage and elicitation paragraph are the same for all |
speakers. The rainbow passage can be found at International Dialects |
of English Archive: |
(http://web.ku.edu/~idea/readings/rainbow.htm). The elicitation |
paragraph is identical to the one used for the speech accent archive |
(http://accent.gmu.edu). The details of the the speech accent archive |
can be found at |
http://www.ualberta.ca/~aacl2009/PDFs/WeinbergerKunath2009AACL.pdf |
All speech data was recorded using an identical recording setup: an |
omni-directional microphone (DPA 4035), 96kHz sampling frequency at 24 |
bits and in a hemi-anechoic chamber of the University of |
Edinburgh. All recordings were converted into 16 bits, were downsampled |
to 48 kHz based on STPK, and were manually end-pointed. |
This corpus is aimed for HMM-based text-to-speech synthesis systems, |
especially for speaker-adaptive HMM-based speech synthesis that uses |
average voice models trained on multiple speakers and speaker |
adaptation technologies. |
COPYING |
This corpus is licensed under Open Data Commons Attribution License |
(ODC-By) v1.0. |
http://opendatacommons.org/licenses/by/1.0/ |
http://opendatacommons.org/licenses/by/summary/ |
ACKNOWLEDGEMENTS |
The CSTR VCTK Corpus was constructed by: |
Christophe Veaux (University of Edinburgh) |
Junichi Yamagishi (University of Edinburgh) |
Kirsten MacDonald |
The research leading to these results was partly funded from EPSRC |
grants EP/I031022/1 (NST) and EP/J002526/1 (CAF), from the RSE-NSFC |
grant (61111130120), and from the JST CREST (uDialogue). |
Creative Commons License: Attribution 4.0 International |
http://creativecommons.org/licenses/by/4.0/legalcode |
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