Evaluation of Combinational Use of Discriminant Analysis-Based Acoustic Feature Transformation and Discriminative Training
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概要
- 論文の詳細を見る
To improve speech recognition performance, acoustic feature transformation based on discriminant analysis has been widely used. For the same purpose, discriminative training of HMMs has also been used. In this letter we investigate the effectiveness of these two techniques and their combination. We also investigate the robustness of matched and mismatched noise conditions between training and evaluation environments.
- （社）電子情報通信学会の論文
- 2010-02-01
著者
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SAKAI Makoto
DENSO CORPORATION
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KITAOKA Norihide
Nagoya University
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TAKEDA Kazuya
Nagoya University
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Nakagawa Seiichi
Toyohashi Univ. Technol. Toyohashi‐shi Jpn
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Nakagawa Seiichi
Department Of Information And Computer Sciences Toyohashi University
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Nakagawa Seiichi
Toyohashi Univ. Of Technol. Toyohashi‐shi Jpn
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Takeda Kazuya
Nagoya Univ.
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Takeda Kazuya
Graduate School Of Information Science Nagoya University
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Takeda Kazuya
Nagoya Univ. Nagoya‐shi Jpn
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Kitaoka Norihide
Toyohashi University Of Technology
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HATTORI Yuya
DENSO CORPORATION
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Kitaoka Norihide
Nagoya Univ.
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NAKAGAWA Seiichi
Nagoya University
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TAKEDA Kazuya
DENSO CORPORATION
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SAKAI Makoto
Nagoya University
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