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 syste...Show MoreMetadata
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.
Published in: 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Date of Conference: 22-27 May 2011
Date Added to IEEE Xplore: 11 July 2011
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- IEEE Keywords
- Index Terms
- Machine Translation ,
- Speech Synthesis ,
- Speech Recognition ,
- Subjective Evaluation ,
- Training Data ,
- Festival ,
- Integration Method ,
- Speech Language ,
- Natural Speech ,
- English Sentences ,
- Text Generation ,
- Translational Impact ,
- Speech Output ,
- Mean Opinion Score ,
- Dialogue System ,
- Word Error Rate
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Machine Translation ,
- Speech Synthesis ,
- Speech Recognition ,
- Subjective Evaluation ,
- Training Data ,
- Festival ,
- Integration Method ,
- Speech Language ,
- Natural Speech ,
- English Sentences ,
- Text Generation ,
- Translational Impact ,
- Speech Output ,
- Mean Opinion Score ,
- Dialogue System ,
- Word Error Rate
- Author Keywords