Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SIP, EA, SP, MI (Joint) [detail] |
2018-03-19 11:15 |
Okinawa |
|
Kazuki Shimada, Yoshiaki Bando, Masato Mimura, Katsutoshi Itoyama, Kazuyoshi Yoshii, Tatsuya Kawahara (Kyoto Univ.) EA2017-107 SIP2017-116 SP2017-90 |
(To be available after the conference date) [more] |
EA2017-107 SIP2017-116 SP2017-90 pp.33-38 |
SIP, EA, SP, MI (Joint) [detail] |
2018-03-19 13:00 |
Okinawa |
|
[Poster Presentation]
Intelligibility of speech with additive bubble noise and enhancement under hearing impairment simulation Narumi Ohashi, Naoko Yomura, Katsuhiko Yamamoto (Wakayama Univ.), Shoko Araki, Keisuke Kinoshita, Tomohiro Nakatani (NTT), Toshio Irino (Wakayama Univ.) EA2017-116 SIP2017-125 SP2017-99 |
Subjective experiments were performed to develop speech intelligibility (SI) prediction metrics for both hearing-impaire... [more] |
EA2017-116 SIP2017-125 SP2017-99 pp.87-92 |
SIP, EA, SP, MI (Joint) [detail] |
2018-03-20 09:00 |
Okinawa |
|
[Poster Presentation]
Speech Enhancement Using Non-Local Means Kyohei Mitani, Yosuke Sugiura, Tetsuya Shimamura (Saitama Univ.) EA2017-142 SIP2017-151 SP2017-125 |
In this paper, we propose a speech enhance method using Non-Local Means. In the proposed method, we focus on Non-Local M... [more] |
EA2017-142 SIP2017-151 SP2017-125 pp.227-230 |
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 |
SIP, EA, SP, MI (Joint) [detail] |
2018-03-20 14:20 |
Okinawa |
|
A Study on Structure of Deep Neural Network for Speech Enhancement Yosuke Sugiura, Tetsuya Shimamura (Saitama Univ.) EA2017-171 SIP2017-180 SP2017-154 |
In this paper, we study a structure of a deep neural network for speech enhancement.In speech enhancement, it is a big i... [more] |
EA2017-171 SIP2017-180 SP2017-154 pp.379-384 |
HCGSYMPO (2nd) |
2017-12-13 - 2017-12-15 |
Ishikawa |
THE KANAZAWA THEATRE |
Utilization of Arc Type Single-Channel Microphone Array to Display Daily Conversation Tomoki Kurahashi (Univ. Tsukuba), Keiichi Zempo, Koichi Mizutani, Naoto Wakatsuki (Univ. of Tsukuba) |
We have been studying a portable real-world caption system using transparent Head-Mounted Display to ensure information ... [more] |
|
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 |
SP |
2017-08-30 11:00 |
Kyoto |
Kyoto Univ. |
[Poster Presentation]
Kazuki Shimada, Yoshiaki Bando, Masato Mimura, Katsutoshi Itoyama, Kazuyoshi Yoshii, Tatsuya Kawahara (Kyoto Univ.) SP2017-23 |
(To be available after the conference date) [more] |
SP2017-23 pp.19-24 |
SP |
2017-08-30 11:00 |
Kyoto |
Kyoto Univ. |
[Poster Presentation]
Improvement of intelligibility improvement method based on waveform processing to emphasize dynamic characteristic of speech Hiroki Kohara, Hideki Banno, Kensaku Asahi (Meijo Univ.) SP2017-26 |
This paper describes intelligibility improvement method for speech signal with high quality by subband waveform processi... [more] |
SP2017-26 pp.33-36 |
SIS |
2017-06-02 11:10 |
Oita |
Housen-Sou (Beppu) |
Transient noise reduction using linear prediction and noise activity detection based on high order statistics Yuto Yoneyama, Naoto Sasaoka, Yoshio Itoh (Tottori Univ.) SIS2017-15 |
We proposed a noise reduction method for a wideband component in transient noise superposed on speech. This method reduc... [more] |
SIS2017-15 pp.77-82 |
EMM, IT |
2017-05-23 10:25 |
Yamagata |
Yamagata University(Yonezawa Campus) |
On a wind noise countermeasure for bicycle Augmented Reality Audio systems Toya Kitagawa, Kazuhiro Kondo (Yamagata Univ) IT2017-9 EMM2017-9 |
We propose a speech navigation system using augmented acoustic reality for bicycle. For that, an audio presentation devi... [more] |
IT2017-9 EMM2017-9 pp.49-54 |
MVE, IE, CQ, IMQ (Joint) [detail] |
2017-03-07 15:20 |
Fukuoka |
Kyusyu Univ. Ohashi Campus |
Area Sound Enhancement and Stereophonic Sound Reproduction for Ultra Realistic Telework System Kazuhiro Katagiri, Takashi Yazu, Masato Nonaka (OKI) CQ2016-131 |
(To be available after the conference date) [more] |
CQ2016-131 pp.125-130 |
SP, SIP, EA |
2017-03-01 12:40 |
Okinawa |
Okinawa Industry Support Center |
[Poster Presentation]
Reverberant speech enhancement with deep auto encoder based on harmonic structure Rikuto Ota, Yukoh Wakabayashi, Takahiro Fukumori, Masato Nakayama, Takanobu Nishiura (Ritsumeikan Univ.) EA2016-107 SIP2016-162 SP2016-102 |
This paper describes reverberant speech enhancement (RSE) with deep auto encoder (DAE) based on harmonic structure. DAEs... [more] |
EA2016-107 SIP2016-162 SP2016-102 pp.141-146 |
SP, SIP, EA |
2017-03-01 16:40 |
Okinawa |
Okinawa Industry Support Center |
[Invited Talk]
An Introduction to Example-based Speech Enhancement and Its Improvements Atsunori Ogawa, Keisuke Kinoshita, Marc Delcroix, Tomohiro Nakatani (NTT) EA2016-114 SIP2016-169 SP2016-109 |
This paper introduces example-based speech enhancement, which is a promising single-channel approach to cope with highly... [more] |
EA2016-114 SIP2016-169 SP2016-109 pp.183-188 |
SP, SIP, EA |
2017-03-02 15:45 |
Okinawa |
Okinawa Industry Support Center |
Speech enhancement with phase reconstruction using phase distortion in harmonic frequency Yukoh Wakabayashi, Takahiro Fukumori, Masato Nakayama, Takanobu Nishiura, Yoichi Yamashita (Ritsumeikan Univ.) EA2016-145 SIP2016-200 SP2016-140 |
Conventionally the speech enhancement in noisy environment is widely studied by modifying only the amplitude spectrum of... [more] |
EA2016-145 SIP2016-200 SP2016-140 pp.351-356 |
CAS, ICTSSL |
2017-01-26 09:00 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Target Sound Enhancement by Post Processing of Sound Source Separation Naoki Shinohara, Kenji Suyama (Tokyo Denki Univ.) CAS2016-77 ICTSSL2016-31 |
Although several methods have been proposed for sound source separation, a suppression ability of interference sound is ... [more] |
CAS2016-77 ICTSSL2016-31 pp.1-6 |
SP |
2016-08-24 16:15 |
Kyoto |
ACCMS, Kyoto Univ. |
[Poster Presentation]
Joint Enhancement of Spectral and Cepstral Sequences of Noisy Speech Li Li (Univ.Tsukuba), Hirokazu Kameoka, Takuya Higuchi (NTT), Hiroshi Saruwatari (Univ.Tokyo), Shoji Makino (Univ.Tsukuba) SP2016-32 |
While spectral domain speech enhancement algorithms using non-negative matrix factorization (NMF) are powerful in terms ... [more] |
SP2016-32 pp.29-32 |
EA, ASJ-H |
2016-08-09 14:00 |
Miyagi |
Tohoku Gakuin Univ., Tagajo Campus |
Phase reconstruction based on time-frequency domain harmonic structure for speech enhancement Yukoh Wakabayashi, Takahiro Fukumori, Masato Nakayama, Takanobu Nishiura, Yoichi Yamashita (Ritsumeikan Univ.) EA2016-22 |
Conventional speech enhancement in noisy environment is widely studied by modifying only an amplitude spectrum of a spee... [more] |
EA2016-22 pp.13-18 |
EA |
2016-07-08 15:10 |
Shizuoka |
Yamaha, Toyooka Factory |
Adding Phase Information to Cross-Correlation Functions with Binary Signal for Speech Enhancement Kyohei Mitani, Yosuke Sugiura, Tetsuya Shimamura (Saitama Univ.) EA2016-19 |
In this paper, adding phase information to the cross-correlation function between speech signal and its binary signal, w... [more] |
EA2016-19 pp.63-68 |
EA, SP, SIP |
2016-03-28 09:00 |
Oita |
Beppu International Convention Center B-ConPlaza |
Method of presenting sound signals for selective listening system Tomomi Suzuki (Nagoya Univ.), Takanori Nishino (Mie Univ.), Yoshio Ishiguro, Tomoki Toda, Kazuya Takeda (Nagoya Univ.) EA2015-66 SIP2015-115 SP2015-94 |
We are able to selectively concentrate on the desired acoustic information in the environmental sounds.
The aim of this... [more] |
EA2015-66 SIP2015-115 SP2015-94 pp.1-6 |