DocumentCode :
2177748
Title :
An analysis of machine translation and speech synthesis in speech-to-speech translation system
Author :
Hashimoto, Kei ; Yamagishi, Junichi ; Byrne, William ; King, Simon ; Tokuda, Keiichi
Author_Institution :
Dept. of Comput. Sci. & Eng., Nagoya Inst. of Technol., Nagoya, Japan
fYear :
2011
fDate :
22-27 May 2011
Firstpage :
5108
Lastpage :
5111
Abstract :
This paper provides an analysis of the impacts of machine translation and speech synthesis on speech-to-speech translation systems. The speech-to-speech translation system consists of three components: speech recognition, machine translation and speech synthesis. Many techniques for integration of speech recognition and machine translation have been proposed. However, speech synthesis has not yet been considered. Therefore, in this paper, we focus on machine translation and speech synthesis, and report a subjective evaluation to analyze the impact of each component. The results of these analyses show that the naturalness and intelligibility of synthesized speech are strongly affected by the fluency of the translated sentences.
Keywords :
speech recognition; speech synthesis; machine translation; speech recognition; speech synthesis; speech-to-speech translation system; Correlation; Hidden Markov models; Natural languages; Speech; Speech recognition; Speech synthesis; Training data; machine translation; speech synthesis; speechto-speech translation; subjective evaluation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location :
Prague
ISSN :
1520-6149
Print_ISBN :
978-1-4577-0538-0
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2011.5947506
Filename :
5947506
Link To Document :
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