Titlebook: Speech-to-Speech Translation; Yutaka Kidawara,Eiichiro Sumita,Hisashi Kawai Book 2020 The Author(s), under exclusive license to Springer N

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Measuring the Capability of a Speech Translation System,This chapter also formulates the evaluation errors and discusses the costs necessary for evaluation. Lastly, we provide a solution to the evaluation cost issue by applying an automatic evaluation method.

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Automatic Speech Recognition,s in natural language processing (NLP). With more than a half century of endeavor, the word error rate (WER), which is a metric unit for transcription performance, has significantly been reduced. Particularly in recent years, due to the increase of computational power, large quantity of collected da

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Text-to-Speech Synthesis,t almost indistinguishable from real human speech. Such improvement in the quality of synthetic speech has expanded the application of the TTS technology. This chapter will explain the mechanism of a state-of-the-art TTS system after a brief introduction to some conventional speech synthesis methods

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Language Translation,used for translating automatic speech recognition (ASR) output into text-to-speech (TTS) input. This section will also explain about neural machine translation, which is the most major translation methodology in recent years.

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conception

The Future of Speech-to-Speech Translation,anese, and vice versa. Only a small number of native Japanese speakers can speak English, and the other way around is less likely. The part of the world where the Japanese language is used is basically limited to Japan. English, known as the “world language,” is not commonly used in Japan and neithe