Lecture Speech Recognition Using Large Corpus of Spontaneous Japanese

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概要

• 論文の詳細を見る

• Automatic transcription of lecture speech is addressed using the corpus of spontaneous Japanese collected under the priority research project in Japan. First, we investigatethe effect of speaking style and data amount for acoustic modeling. Then, to complement training data for language model, incorporation of other text corpora with optimization of mixture weights is performed. We also implement a sequential decoding method that does not need prior segmentation of lecture recordings. With these methods, word accuracy of 66.2% is achieved on recognition of 10 oral presentations.

• 社団法人電子情報通信学会の論文
• 2003-04-01

著者

• Kawahara Tatsuya

  Graduate School Of Informatics Kyoto University

• Lee Akinobu

  Graduate School Of Information Science Nara Institute Of Science

• NANOJO Hiroaki

  Graduate School of Informatics,Kyoto University

• KATO Kazuomi

  Graduate School of Informatics,Kyoto University

• Kato Kazuomi

  Graduate School Of Informatics Kyoto University

• Nanojo Hiroaki

  Graduate School Of Informatics Kyoto University

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