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We describe a scheme to translate spoken English lectures into Japanese consisting of a deep neural network based English automatic speech recognition system (ASR) and an English to Japanese phrase-based statistical machine translation system (SMT). The bad influence of speech misrecognition for the translation model is focused. For coping with bad influence caused by speech misrecognition, we utilized...
This paper describes our scheme to translate spoken English lectures into Japanese consisting of an English automatic speech recognition system (ASR) that utilizes a deep neural network (DNN) and an English to Japanese phrase-based statistical machine translation system (SMT). We focused on domain adaptation of the acoustic and translation models. For domain adaptation of the translation model, frequently...
There is an increasing use of sensor networks capable of sensing multimedia data including audio data. Unfortunately, public use of these is not allowed because they contain crucial privacy information such as person and location names. Person name extraction (PNE), which is a widely investigated research topic, is an effective technique to resolve this problem. However, there is an important difference...
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