A Comparison of Open-Source Segmentation Architectures for Dealing with Imperfect Data from the Media in Speech Synthesis

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A Comparison of Open-Source Segmentation Architectures for Dealing with Imperfect Data from the Media in Speech Synthesis

Author(s): Gallardo Antolín, Ascensión; Montero, Juan Manuel; King, Simon
Publisher: International Speech Communication Association
Issued date: 2014
Citation: Li, Haizhou, et al. (eds). (2014). INTERSPEECH 2014, 15th Annual Conference of the International Speech Communication Association, Singapore, September 14-18, 2014. (pp. 2370-2374). International Speech Communication Association.
ISBN: 9781634394352
Sponsor: 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.
Publisher version: http://www.isca-speech.org/archive/archive_papers/interspeech_2014/i14_2370.pdf
Project: Gobierno de España. TEC2011-26807
Keywords: Diarization , Audio segmentation , Expressive text-to-speech , Media recordings
URI: http://hdl.handle.net/10016/21478
Rights: © 2014 ISCA

Abstract:

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 f [+]

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Proceedings of: 15th Annual Conference of the International Speech Communication Association. Singapore, September 14-18, 2014.

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