RT Conference Proceedings
T1 A Comparison of Open-Source Segmentation Architectures for Dealing with Imperfect Data from the Media in Speech Synthesis
A1 Gallardo Antolín, Ascensión
A1 Montero, Juan Manuel
A1 King, Simon
AB Traditional Text-To-Speech (TTS) systems have been developed using especially-designed non-expressive scripted recordings. In order to develop a new generation of expressive TTS systems in the Simple4All project, real recordings from the media should be used for training new voices with a whole new range of speaking styles. However, for processing this more spontaneous material, the new systems must be able to deal with imperfect data (multi-speaker recordings, background and fore-ground music and noise), filtering out low-quality audio segments and creating mono-speaker clusters. In this paper we compare several architectures for combining speaker diarization and music and noise detection which improve the precision and overall quality of the segmentation.
PB International Speech Communication Association
SN 9781634394352
YR 2014
FD 2014
LK http://hdl.handle.net/10016/21478
UL http://hdl.handle.net/10016/21478
LA eng
NO Proceedings of: 15th Annual Conference of the International Speech Communication Association. Singapore, September 14-18, 2014.
NO This work has been carried out during the research stay of A. Gallardo-Antolín and J. M. Montero at the Centre for Speech Technology Research (CSTR), University of Edinburgh, supported by the Spanish Ministry of Education, Culture and Sports under the National Program of Human Resources Mobility from the I+D+i 2008-2011 National Program, extended by agreement of the Council of Ministers in October 7th, 2011. The work leading to these results has received funding from the European Union under grant agreement No 287678. It has also been supported by EPSRC Programme Grant grant, no. EP/I031022/1 (Natural Speech Technology, NST) and Spanish Government grants TEC2011-26807 and DPI2010-21247-C02-02.
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