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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EA | 2022-05-13 13:10 |
Online | Online | Fast Blind Source Separation in Noisy Reverberant Environments Using Independent Vector Extraction Rintaro Ikeshita, Tomohiro Nakatani (NTT)  EA2022-5 |
Blind source separation (BSS) is a technique of separating and extracting individual source signals only from their mixt... [more] | EA2022-5 pp.20-25 |
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-20 13:20 |
Okinawa | Speech Dereverberation Based on Recursive Weighted Prediction Error Takehiko Kagoshima, Ui-Hyun Kim, Masami Akamine (Toshiba) EA2017-169 SIP2017-178 SP2017-152 |
This paper proposes a speech dereverberation method based on recursive wighted prediction error (RWPE) for a moving aver... [more] | EA2017-169 SIP2017-178 SP2017-152 pp.367-372 |
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| SP | 2017-08-30 11:00 |
Kyoto | Kyoto Univ. | [Poster Presentation]
Semi-blind speech separation and enhancement using recurrent neural network Masaya Wake, Yoshiaki Bando, Masato Mimura, Katsutoshi Itoyama, Kazuyoshi Yoshii, Tatsuya Kawahara (Kyoto Univ.) SP2017-22 |
This paper describes a semi-blind speech enhancement method using a neural network. In a human-robot speech interaction... [more] |
SP2017-22 pp.13-18 |
| EA | 2016-07-07 13:20 |
Shizuoka | Yamaha, Toyooka Factory | Post-filtering for reverberation suppression using priori DRR estimation on multiple isotropic beams Yuhei Yamamoto, Yoichi Haneda (UEC) EA2016-9 |
Reverberation often degenerates the quality of speech signals. The beamforming technique is a promising approach for s... [more] |
EA2016-9 pp.13-18 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2015-12-02 16:30 |
Aichi | Nagoya Inst of Tech. | Distant-talking speech recognition by reverberation-aware denoising autoencoder Yuma Ueda (Shizuoka Univ.), Longbiao Wang (Nagaoka Univ.), Atsuhiko Kai (Shizuoka Univ.) SP2015-77 |
In the distant-talking speech recognition, it is essential to deal with the noise and reverberation.Denoising autoencode... [more] | SP2015-77 pp.55-60 |
| SIP, EA, SP | 2015-03-02 09:50 |
Okinawa | Unified approach for BSS, DOA estimation, audio event detection and dereverberation with multichannel factorial HMM and DOA mixture model Takuya Higuchi (Univ. of Tokyo), Hirokazu Kameoka (Univ. of Tokyo/ NTT) EA2014-74 SIP2014-115 SP2014-137 |
We deal with the problems of blind source separation, dereverberation, audio event detection and DOA estimation. We prev... [more] | EA2014-74 SIP2014-115 SP2014-137 pp.13-18 |
|
| IBISML | 2014-11-17 17:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Unified approach for auditory scene analysis based on multichannel factorial hidden Markov model Takuya Higuchi (Univ. of Tokyo), Hirokazu Kameoka (Univ. of Tokyo/NTT) IBISML2014-57 |
This paper deals with the problems of audio source separation, audio event detection, dereverberation and DOA estimation... [more] | IBISML2014-57 pp.169-176 |
| EA | 2014-10-24 14:20 |
Tokyo | Central Research Laboratory, Hitachi, Ltd. | [Invited Talk]
Speech enhancement techniques in multi-speaker spontaneous speech recognition for conversation scene analysis Shoko Araki, Takaaki Hori, Tomohiro Nakatani (NTT) EA2014-25 |
This paper illustrates speech enhancement techniques for multi-speaker distant-talk speech recognition, where a conversa... [more] | EA2014-25 pp.9-14 |
| SP, IPSJ-MUS | 2014-05-24 11:30 |
Tokyo | Distant-talking Speech Recognition with Asynchronous Speech Recording Shunta Teraoka, Yuma Ueda (Shizuoka Univ.), Longbiao Wang (Nagaoka Univ. of Tech.), Atsuhiko Kai, Taku Fukushima (Shizuoka Univ.) SP2014-16 |
Although applications using mobile terminals have attracted increasing attention, there are few studies that focus on di... [more] | SP2014-16 pp.153-157 |
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| SP, IPSJ-SLP (Joint) |
2013-07-25 14:40 |
Miyagi | Soho (togatta spa) | Single Channel Dereverberation by Feature Mapping Using Limited Stereo Data Aditya Arie Nugraha (Toyohashi Univ. of Tech.), Kazumasa Yamamoto (Toyota Nat. Coll. of Tech./Toyohashi Univ. of Tech.), Seiichi Nakagawa (Toyohashi Univ. of Tech.) SP2013-54 |
In this paper, we present a feature enhancement method that uses neural networks (NNs) to map the reverberant feature in... [more] | SP2013-54 pp.7-12 |
| EA | 2013-07-19 15:45 |
Hokkaido | Health Sci. Univ. of Hokkaido | Semi-Blind Optimization Scheme of Joint Suppression of Background Noise and Late Reverberation Fine D. Aprilyanti, Hiroshi Saruwatari, Kiyohiro Shikano, Satoshi Nakamura (NAIST), Tomoya Takatani (Toyota) EA2013-52 |
Recently, a method to jointly suppress diffuse background noise and late reverberation part of speech has been proposed,... [more] | EA2013-52 pp.111-116 |
| SIS | 2013-03-07 17:15 |
Shizuoka | Create Hamamatsu | [Invited Talk]
Introduction of Music Signal and Information Processing Technologies in Corporate Research and Development Center, Yamaha Corporataion Kazunobu Kondo (Yamaha) SIS2012-61 |
We introduce research and development of signal and information processing in Corporate Research \& Development Center,... [more] |
SIS2012-61 pp.85-90 |
| EA, EMM | 2012-11-16 11:45 |
Oita | OITA Univ. | Unified denoising and dereverberation method used in restoration of MTF-based power envelope Masashi Unoki, Shota Morita (JAIST), Xugang Lu (NICT) EA2012-86 EMM2012-68 |
Recent methods of speech enhancement have been proposed to suppress the effects of background noise and reverberation. T... [more] | EA2012-86 EMM2012-68 pp.29-34 |
| EA | 2012-10-28 10:30 |
Toyama | USHIDAKE resort (Toyama) | [Invited Talk]
Dereverberation & reverberation control for speech and music signals and its application
-- Making speech clearer and music richer -- Keisuke Kinoshita, Takuya Yoshioka, Tomohiro Nakatani (NTT) EA2012-80 |
The acoustic signals captured by the distant microphones inevitably contain reverberant components due to reflection fro... [more] | EA2012-80 pp.91-96 |
| EA, SP, SIP | 2012-05-25 10:50 |
Osaka | Osaka Univ. Nakanoshima Center | Evaluation of Denoising and Dereverberation Based on Spectral Subtraction in Real Environment Kyohei Odani, Longbiao Wang, Atsuhiko Kai (Shizuoka Univ.) EA2012-24 SIP2012-24 SP2012-24 |
In a distant-talking environment, reverberation drastically degrades speech recognition performance. In previous work, w... [more] | EA2012-24 SIP2012-24 SP2012-24 pp.137-142 |
| EA | 2012-03-16 16:00 |
Tokyo | Central Research Laboratory, Hitachi, Ltd. | Probabilistic optimized method of dereverberation, acoustic echo canceller, and noise reduction based on time-varying model of systems and sources Masahito Togami, Yohei Kawaguchi (CRL, Hitachi) EA2011-128 |
This paper deals with a simultaneous reduction technique of an acoustic echo, reverberation, and background noise at sys... [more] | EA2011-128 pp.49-54 |
| EA, SIP, SP | 2011-05-12 11:15 |
Osaka | Ritsumeikan Univ. | Improvement of Dereverberation by Multi-channel LMS Algorithm for Distant-talking Speech Recognition Kyohei Odani, Longbiao Wang, Atsuhiko Kai (Shizuoka Univ.) EA2011-3 SIP2011-3 SP2011-3 |
In a distant-talking environment, reverberation drastically degrades speech recognition performance. In previous work, w... [more] | EA2011-3 SIP2011-3 SP2011-3 pp.13-18 |
| EA | 2010-10-22 13:50 |
Ishikawa | Kanazawa-city Omi-cho Koryu Plaza | A study on MTF-based power envelope restoration in noisy reverberant environments Shota Morita, Yutaka Yamasaki, Masashi Unoki, Masato Akagi (JAIST) EA2010-78 |
The authors have previously proposed a method for restoring the power envelope from the observed speech (noisy reverber... [more] |
EA2010-78 pp.121-126 |
| SP, EA, SIP | 2010-05-26 14:55 |
Hyogo | Konan Univ. (Hirao Seminar House) | [Invited Talk]
Recent advances in blind speech dereverberation Keisuke Kinoshita, Takuya Yoshioka, Tomohiro Nakatani (NTT CS labs.) EA2010-5 SIP2010-5 SP2010-5 |
A speech signal captured by a distant microphone inevitably contains reverberant components due to reflection from, for ... [more] | EA2010-5 SIP2010-5 SP2010-5 pp.25-30 |
| EA | 2008-07-18 16:30 |
Nara | Frequency Domain Speech Dereverberation with Crossband EffectCcompensation Tomohiro Nakatani, Takuya Yoshioka, Keisuke Kinoshita, Masato Miyoshi (NTT), Biing-Hwang Juang (Georgia Inst. of Tech.) EA2008-43 |
It has recently been shown that the maximum likelihood estimation approach with a time-varying source model is very ef... [more] |
EA2008-43 pp.37-42 |
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