T
Takanobu Nishiura
Researcher at Ritsumeikan University
Publications - 171
Citations - 856
Takanobu Nishiura is an academic researcher from Ritsumeikan University. The author has contributed to research in topics: Loudspeaker & Microphone array. The author has an hindex of 14, co-authored 157 publications receiving 765 citations. Previous affiliations of Takanobu Nishiura include Nike & Wakayama University.
Papers
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Journal ArticleDOI
AURORA-2J: An Evaluation Framework for Japanese Noisy Speech Recognition
Satoshi Nakamura,Kazuya Takeda,Kazumasa Yamamoto,Takeshi Yamada,Shingo Kuroiwa,Norihide Kitaoka,Takanobu Nishiura,Akira Sasou,Mitsunori Mizumachi,Chiyomi Miyajima,Masakiyo Fujimoto,Toshiki Endo +11 more
TL;DR: In this paper, an evaluation framework for Japanese noisy speech recognition named AURORA-2J is introduced, which is a Japanese connected digits corpus and its evaluation scripts are designed in the same way as Aurora 2.
Journal ArticleDOI
Single-Channel Speech Enhancement With Phase Reconstruction Based on Phase Distortion Averaging
TL;DR: This paper proposes a phase reconstruction method based on harmonic enhancement using the fundamental frequency and phase distortion feature, known to show fluctuations in the phase spectrum with respect to time and frequency.
Journal ArticleDOI
CENSREC-1-C: An evaluation framework for voice activity detection under noisy environments
Norihide Kitaoka,Takeshi Yamada,Satoru Tsuge,Chiyomi Miyajima,Kazumasa Yamamoto,Takanobu Nishiura,Masato Nakayama,Yuki Denda,Masakiyo Fujimoto,Tetsuya Takiguchi,Satoshi Tamura,Shigeki Matsuda,Tetsuji Ogawa,Shingo Kuroiwa,Kazuya Takeda,Satoshi Nakamura +15 more
TL;DR: An evaluation framework for VAD under noisy environments, named CENSREC-1-C, designed for simple isolated utterance detection and hence, this framework consists of noisy continuous digit utterances and evaluation tools for Vad results.
Proceedings ArticleDOI
Development of VAD evaluation framework CENSREC-1-C and investigation of relationship between VAD and speech recognition performance
Norihide Kitaoka,Kazumasa Yamamoto,T. Kusamizu,Seiichi Nakagawa,Takeshi Yamada,Satoru Tsuge,Chiyomi Miyajima,Takanobu Nishiura,Masato Nakayama,Yuki Denda,Masakiyo Fujimoto,Tetsuya Takiguchi,Satoshi Tamura,Shingo Kuroiwa,Kazuya Takeda,Satoshi Nakamura +15 more
TL;DR: An evaluation framework for VAD in such environments, called corpus and environment for noisy speech recognition 1 concatenated (CENSREC-1-C), is developed and it is shown that a small extension improves speech recognition.
CENSREC-1-AV: an audio-visual corpus for noisy bimodal speech recognition.
Satoshi Tamura,Chiyomi Miyajima,Norihide Kitaoka,Takeshi Yamada,Satoru Tsuge,Tetsuya Takiguchi,Kazumasa Yamamoto,Takanobu Nishiura,Masato Nakayama,Yuki Denda,Masakiyo Fujimoto,Shigeki Matsuda,Tetsuji Ogawa,Shingo Kuroiwa,Kazuya Takeda,Satoshi Nakamura +15 more
TL;DR: An audio-visual speech corpus CENSREC-1-AV for noisy speech recognition is introduced and roughly a 35% relative error reduction was achieved in low SNR conditions compared with an audio-only ASR method.