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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 41 - 45 of 45 [Previous]  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SP, NLC 2008-12-09
10:50
Tokyo Waseda Univ. Noisy speech recognition using integrated method of statistical model-based voice activity detection and noise suppression
Masakiyo Fujimoto, Kentaro Ishizuka, Tomohiro Nakatani (NTT Corporation) NLC2008-26 SP2008-81
This paper addresses robust front-end processing for automatic speech recognition in noise. The proposed method integrat... [more] NLC2008-26 SP2008-81
pp.13-18
SP, NLC 2008-12-10
12:10
Tokyo Waseda Univ. Speech recognition system for spoken dialogue system
Toru Taniguchi, Shinya Fujie, Tetsunori Kobayashi (Waseda Univ.) NLC2008-41 SP2008-96
We have developed speech recognition method for spoken dialogue systems
such as communication robots. In the case of de... [more]
NLC2008-41 SP2008-96
pp.103-108
SP 2008-07-17
- 2008-07-19
Iwate Iwate Prefectural Univ. An evaluation and an examination of integration method of statistical model-based voice activity detection and noise suppression
Masakiyo Fujimoto, Kentaro Ishizuka, Tomohiro Nakatani (NTT CS Labs.) SP2008-45
This paper addresses robust front-end processing for automatic speech recognition (ASR) in noisy environments.
Usually... [more]
SP2008-45
pp.13-18
SP 2008-03-21
15:15
Tokyo Univ. Tokyo On-line Discrimination of Speakers without prior Learning
Shinji Kutomi, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, Noboru Ohnishi (Nagoya Univ.) SP2007-211
This paper presents on-line system for discriminating speakers without prior learning of speaker information. This syste... [more] SP2007-211
pp.145-150
SP 2007-06-29
10:00
Fukushima The University of Aizu Voice Activity Detection Applied to Hands-Free Speech Recognition based on Decoding using Acoustic and Language Models
Hiroyuki Sakai, Tobias Cincarek, Hiromichi Kawanami, Hiroshi Saruwatari, Kiyohiro Shikano (NAIST), Akinobu Lee (Nagoya Inst. of Tech.) SP2007-17
This paper proposes a new Voice Activity Detection (VAD) method by decoding using Acoustic Model(AM) and Language Model ... [more] SP2007-17
pp.55-60
 Results 41 - 45 of 45 [Previous]  /   
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