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Spoken Document Retrieval Using Neighboring Documents and Extended Language Models for Query Likelihood Model.

K. Ogawa, T. Murahashi, H. Taguchi, K. Nakajima, M. Takehara, S. Tamura, and S. Hayamizu. NTCIR, National Institute of Informatics (NII), (2016)

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Note-Taking Support for Nurses Using Digital Pen Character Recognition System.Y. Hayashi, S. Tamura, S. Hayamizu, and Y. Nishimoto. VSMM, volume 4270 of Lecture Notes in Computer Science, page 428-436. Springer, (2006)Toward a High Performance Piano Practice Support System for Beginners.S. Asahi, S. Tamura, Y. Sugiyama, and S. Hayamizu. APSIPA, page 73-79. IEEE, (2018)Confidence estimation and keyword extraction from speech recognition result based on Web information.K. Hara, H. Sekiya, T. Kawase, S. Tamura, and S. Hayamizu. APSIPA, page 1-6. IEEE, (2013)A spoken language dialogue system for automatic collection of spontaneous speech.S. Hayamizu, K. Itou, M. Tamoto, and K. Tanaka. ICSLP, page 1637-1640. ISCA, (1992)Speech Recognition using Deep Canonical Correlation Analysis in Noisy Environments.S. Isobe, S. Tamura, and S. Hayamizu. ICPRAM, page 63-70. SCITEPRESS, (2021)Template-based spectral estimation using microphone array for speech recognition.S. Tamura, E. Hishikawa, W. Taguchi, and S. Hayamizu. INTERSPEECH, page 2050-2053. ISCA, (2010)Multimodal corpora for human-machine interaction research.S. Nakamura, K. Watanuki, T. Takezawa, and S. Hayamizu. INTERSPEECH, page 25-28. ISCA, (2000)Decision fusion by boosting method for multi-modal voice activity detection.S. Takeuchi, T. Hashiba, S. Tamura, and S. Hayamizu. AVSP, page 1-4. ISCA, (2010)Voice activity detection based on fusion of audio and visual information.S. Takeuchi, T. Hashiba, S. Tamura, and S. Hayamizu. AVSP, page 151-154. ISCA, (2009)Audio-visual interaction in sparse representation features for noise robust audio-visual speech recognition.P. Shen, S. Tamura, and S. Hayamizu. AVSP, page 43-48. ISCA, (2013)

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Disambiguation of "Hayamizu, Satoru"

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Spoken Document Retrieval Using Neighboring Documents and Extended Language Models for Query Likelihood Model.

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Disambiguation of "Hayamizu, Satoru"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Spoken Document Retrieval Using Neighboring Documents and Extended Language Models for Query Likelihood Model.

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Spoken Document Retrieval Using Neighboring Documents and Extended Language Models for Query Likelihood Model.