Login (DCU Staff Only)
Login (DCU Staff Only)

DORAS | DCU Research Repository

Explore open access research and scholarly works from DCU

Advanced Search

Using same-language machine translation to create alternative target sequences for text-to-speech synthesis

Cahill, Peter, Du, Jinhua orcid logoORCID: 0000-0002-3267-4881, Way, Andy orcid logoORCID: 0000-0001-5736-5930 and Carson-Berndsen, Julie (2009) Using same-language machine translation to create alternative target sequences for text-to-speech synthesis. In: Interspeech 2009 - 10th Annual Conference of the International Speech Communication Association, 6-10 September 2009, Brighton, UK.

Abstract
Modern speech synthesis systems attempt to produce speech utterances from an open domain of words. In some situations, the synthesiser will not have the appropriate units to pronounce some words or phrases accurately but it still must attempt to pronounce them. This paper presents a hybrid machine translation and unit selection speech synthesis system. The machine translation system was trained with English as the source and target language. Rather than the synthesiser only saying the input text as would happen in conventional synthesis systems, the synthesiser may say an alternative utterance with the same meaning. This method allows the synthesiser to overcome the problem of insufficient units in runtime.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:speech synthesis;
Subjects:Computer Science > Machine translating
DCU Faculties and Centres:Research Institutes and Centres > Centre for Next Generation Localisation (CNGL)
Research Institutes and Centres > National Centre for Language Technology (NCLT)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Official URL:http://www.interspeech2009.org/conference/
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland, SFI 07/CE/I1142
ID Code:15182
Deposited On:16 Feb 2010 09:46 by DORAS Administrator . Last Modified 25 Jan 2019 10:20
Documents

Full text available as:

[thumbnail of CahillEtAl_interspeech_09.pdf]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
152kB
Downloads

Downloads

Downloads per month over past year

Archive Staff Only: edit this record