| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CAS, CS | 2024-03-14 15:55 |
Okinawa | Residual Noise Removal in of Sound Source Separation Signal by Spectral Replacement Taiga Saito, Kenji Suyama (Tokyo Denki Univ.)  CAS2023-122 CS2023-115 |
Although sound source separation method based on a multiplication of multiple weighted sum circuits has high suppression... [more] | CAS2023-122 CS2023-115 pp.64-69 |
|
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-03-01 16:35 |
Okinawa | (Primary: On-site, Secondary: Online) |
Evaluations of Multi-channel Blind Source Separation for Speech Recognition in Car Environments Yutsuki Takeuchi, Natsuki Ueno, Nobutaka Ono (Tokyo Metropolitan Univ.), Takashi Takazawa, Shuhei Shimanoe, Tomoki Tanemura (MIRISE Technologies) EA2023-127 SIP2023-174 SP2023-109 |
In car environments, speech recognition is difficult due to various types of noise. For this issue, speech enhancement b... [more] | EA2023-127 SIP2023-174 SP2023-109 pp.388-393 |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2022-06-18 15:00 |
Online | Online | Unsupervised Training of Sequential Neural Beamformer Using Blindly-separated and Non-separated Signals Kohei Saijo, Tetsuji Ogawa (Waseda Univ.) SP2022-25 |
We present an unsupervised training method of the sequential neural beamformer (Seq-NBF) using the separated signals fro... [more] | SP2022-25 pp.110-115 |
| EA, SIP, SP, IPSJ-SLP [detail] | 2022-03-01 14:45 |
Okinawa | (Primary: On-site, Secondary: Online) |
Target speaker extraction based on conditional variational autoencoder and directional information in underdetermined condition Rui Wang, Li Li, Tomoki Toda (Nagoya Univ) EA2021-76 SIP2021-103 SP2021-61 |
This paper deals with a dual-channel target speaker extraction problem in underdetermined conditions. A blind source sep... [more] | EA2021-76 SIP2021-103 SP2021-61 pp.76-81 |
| EA, US, SP, SIP, IPSJ-SLP [detail] | 2021-03-03 13:05 |
Online | Online | [Invited Talk]
* Masahito Togami (LINE) EA2020-64 SIP2020-95 SP2020-29 |
Recently, deep learning based speech source separation has been evolved rapidly. A neural network (NN) is usually learne... [more] | EA2020-64 SIP2020-95 SP2020-29 pp.27-32 |
| EA, SIP, SP | 2019-03-14 10:25 |
Nagasaki | i+Land nagasaki (Nagasaki-shi) | Blind speech separation based on approximate joint diagonalization utilizing correlation between neighboring frequency bins Taiki Asamizu, Toshihiro Furukawa (TUS) EA2018-100 SIP2018-106 SP2018-62 |
In this paper, we propose a new method that extends the approximate joint diagonalization blind speech separation (BSS).... [more] | EA2018-100 SIP2018-106 SP2018-62 pp.7-12 |
| EA, SIP, SP | 2019-03-15 13:30 |
Nagasaki | i+Land nagasaki (Nagasaki-shi) | [Poster Presentation]
Design and Evaluation of Ladder Denoising Autoencoder for Auditory Speech Feature Extraction of Overlapped Speech Separation Hiroshi Sekiguchi, Yoshiaki Narusue, Hiroyuki Morikawa (Univ. of Tokyo) EA2018-155 SIP2018-161 SP2018-117 |
Primates and mammalian distinguish overlapped speech sounds from one another by recognizing a single sound source whethe... [more] | EA2018-155 SIP2018-161 SP2018-117 pp.329-333 |
| EA, ASJ-H | 2018-08-23 12:55 |
Miyagi | Tohoku Gakuin Univ. | Self-produced speech enhancement and suppression method with wearable air- and body-conductive microphones Moe Takada, Shogo Seki, Tomoki Toda (Nagoya Univ.) EA2018-29 |
This paper presents a self-produced speech enhancement and suppression method for multichannel signals recorded with bot... [more] | EA2018-29 pp.7-12 |
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-19 09:25 |
Okinawa | Stable Estimation Method of Spatial Correlation Matrices for Multi-channel NMF Yuuki Tachioka (Denso IT Lab) EA2017-103 SIP2017-112 SP2017-86 |
Multi-channel non-negative matrix factorization (MNMF) achieves a high sound source separation performance but its initi... [more] | EA2017-103 SIP2017-112 SP2017-86 pp.7-12 |
|
| EA | 2018-02-16 13:10 |
Hiroshima | Pref. Univ. Hiroshima | The effect of increasing the number of channels with multi-channel non-negative matrix factorization for noisy speech recognition Takanobu Uramoto (Oita Univ.), Youhei Okato, Toshiyuki Hanazawa (Mitsubishi Electric), Iori Miura, Shingo Uenohara, Ken'ich Furuya (Oita Univ.) EA2017-99 |
Nonnegative Matrix Factorization (NMF) factorizes a non-negative matrix into two non-negative matrices. In the field of ... [more] | EA2017-99 pp.33-38 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2017-12-22 11:20 |
Tokyo | Waseda Univ. Green Computing Systems Research Organization | A Sound Source Separation Method for Multiple Person Speech Recognition using Wavelet Analysis Based on Sound Source Position Obtained by Depth Sensor Nobuhiro Uehara, Kazuo Ikeshiro, Hiroki Imamura (Soka Univ.) SP2017-63 |
Recently, voice information guidance systems are used for only one person in operating at a city hall. To realize operat... [more] | SP2017-63 pp.79-83 |
| WIT, SP | 2017-10-19 13:20 |
Fukuoka | Tobata Library of Kyutech (Kitakyushu) | Speech enhancement of utterance while playing with werewolf game "JINRO" based on NMF Shunsuke Kawano, Toru Takahashi (OSU) SP2017-35 WIT2017-31 |
We describe that speech enhancement for natural and multi speaker dialognue. To record natural and multi speaker dialogn... [more] | SP2017-35 WIT2017-31 pp.7-12 |
| 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 |
| 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 |
| EA, EMM | 2015-11-12 17:00 |
Kumamoto | Kumamoto Univ. | Noise suppression method for body-conducted soft speech based on external noise monitoring Yusuke Tajiri (NAIST), Tomoki Toda (Nagoya Univ.), Satoshi Nakamura (NAIST) EA2015-31 EMM2015-52 |
As one of the silent speech interfaces, nonaudible murmur (NAM) microphone has been developed for detecting an extremely... [more] | EA2015-31 EMM2015-52 pp.41-46 |
| 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 |
| SIS | 2013-12-12 13:00 |
Tottori | Torigin Bunka Kaikan (Tottori) | [Tutorial Lecture]
Enhancement and Separation for Speech Signals Arata Kawamura (Osaka Univ.) SIS2013-35 |
In this paper, we discus about three main topics of speech processing technologies. First, we review and discuss about a... [more] | SIS2013-35 pp.47-52 |
| SP, IPSJ-SLP | 2012-12-21 14:40 |
Tokyo | TITECH(Ookayama) | Reduction of cross spectrum for feature-domain sound source separation Atsushi Ando (Nagoya Univ.), Kenta Niwa (NTT), Norihide Kitaoka, Kazuya Takeda (Nagoya Univ.) SP2012-93 |
Speech source separation is utilized for recognition of simultaneous speech. Conventional source separation methods, esp... [more] | SP2012-93 pp.107-112 |
| EA, EMM | 2012-11-16 12:10 |
Oita | OITA Univ. | Auxiliary-function-based independent vector analysis with non-speech frame information for speech enhancement Masataka Suzuki (Univ. of Tokyo), Nobutaka Ono (NII), Toru Taniguchi, Masaru Sakai, Akinori Kawamura (Toshiba Corp.), Miquel Espi, Shigeki Sagayama (Univ. of Tokyo) EA2012-87 EMM2012-69 |
In this study, we discuss a technique to enhance the speech of interest in the noisy environment with using microphone a... [more] | EA2012-87 EMM2012-69 pp.35-38 |
| PRMU, SP | 2012-02-10 15:20 |
Miyagi | Multi-band speech recognition using confidence of blind source separation Atsushi Ando, Hiromasa Ohashi (Nagoya Univ.), Sunao Hara (NAIST), Norihide Kitaoka, Kazuya Takeda (Nagoya Univ.) PRMU2011-234 SP2011-149 |
One of the main applications of Blind Source Separation (BSS) is to improve performance of Automatic Speech Recognition ... [more] | PRMU2011-234 SP2011-149 pp.219-224 |
|
[Return to Top Page]