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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EA | 2024-05-22 14:15 |
Online | Online | 未定
-- 未定 -- Tsubasa Ochiai (NTT), Kazuma Iwamoto (Doshisha Univ.), Marc Delcroix, Rintaro Ikeshita, Hiroshi Sato, Shoko Araki (NTT), Shigeru Katagiri (Doshisha Univ.) |
(To be available after the conference date) [more] | |
| SP, IPSJ-SLP (Joint) |
2018-07-26 16:45 |
Shizuoka | Sago-Royal-Hotel (Hamamatsu) | Single channel noisy speech recognition based on combination of noisy speech and enhanced speech Masakiyo Fujimoto, Hisashi Kawai (NICT)  SP2018-19 |
In many cases, single channel speech enhancement seriously deteriorates speech recognition accuracy due to the influence... [more] | SP2018-19 pp.15-20 |
| SP, SIP, EA | 2017-03-02 09:00 |
Okinawa | Okinawa Industry Support Center | [Poster Presentation]
Study of branch selecting DNN acoustic model for robustness to environmental variation Takafumi Moriya, Taichi Asami, Yoshikazu Yamaguchi, Yushi Aono (NTT) EA2016-131 SIP2016-186 SP2016-126 |
The performance of speech recognition tasks can be significantly improved by the use of deep neural networks (DNN). Spee... [more] | EA2016-131 SIP2016-186 SP2016-126 pp.277-282 |
| NLC, IPSJ-NL, SP, IPSJ-SLP, JSAI-SLUD (Joint) [detail] |
2014-12-16 11:00 |
Kanagawa | Tokyo Institute of Technology (Suzukakedai Campus) | Noise robust speech recognition by non-negative matrix factorization using GMM clustering in MFCC domain Kentaro Fujigaki, Yosuke Kashiwagi, Daisuke Saito, Nobuaki Minematsu, Keikichi Hirose (Univ. of Tokyo) SP2014-113 |
Exemplar-based feature enhancement by non-negative matrix factorization (NMF) was proposed for noise-robust speech recog... [more] | SP2014-113 pp.69-74 |
| SIS | 2014-03-06 11:20 |
Osaka | Gran Front Osaka, Knowledge Capital C-9F, 901 | About the Speech Recognition of Acoustically Similar Words under the Noise Environment Yoshiyuki Miyazaki, Yasuhito Arakane (RayTron), Yoshikazu Miyanaga (Hokkaido Univ.) SIS2013-57 |
In this paper, we propose the method which improves the speech recognition accuracy of acoustically similar words. For e... [more] | SIS2013-57 pp.11-16 |
| SP, IPSJ-SLP (Joint) |
2013-07-25 14:10 |
Miyagi | Soho (togatta spa) | Noise reduction based on fragmentary measurement of environmental noise Kohei Machida, Akinori Ito (Tohoku Univ.) SP2013-53 |
We propose a speech recognition method under noisy environments using multiple microphones based on asynchronous and int... [more] | SP2013-53 pp.1-6 |
| SP, IPSJ-SLP (Joint) |
2013-07-25 15:10 |
Miyagi | Soho (togatta spa) | Effectiveness of discriminative approaches for speech recognition under noisy environments on the 2nd CHiME Challenge Yuuki Tachioka (Mitsubishi Electric), Shinji Watanabe, Jonathan Le Roux, John R Hershey (MERL) SP2013-55 |
The 2nd CHiME challenge is a difficult two-microphone speech recognition task with non-stationary interference. We inves... [more] | SP2013-55 pp.13-18 |
| SIS | 2013-06-14 11:10 |
Kagoshima | Houzan Hall (Kagoshima) | Robust Speech Recognition for Similar Pronunciation Words by Using Linear Prediction Theory Masumi Watanabe, Yoshikazu Miyanaga (Hokkaido Univ.) SIS2013-12 |
In this paper, we propose a robust speech recognition method for similar pronunciation words using linear prediction the... [more] | SIS2013-12 pp.59-64 |
| SIS, IPSJ-AVM | 2011-09-22 13:40 |
Akita | Robust Keyword Spotting using The Isolated Word Recognition Wataru Takahashi, Yoshikazu Miyanaga (Hokkaido Univ.) SIS2011-37 |
In this report, we performed a keyword spotting from cotinuous speech under noisy environments. The proposed algorithm i... [more] | SIS2011-37 pp.105-109 |
|
| SP | 2011-07-23 09:30 |
Hokkaido | Jozankei Grand Hotel | Nonlinear Normalization Using q-Logarithm for Robust Speech Recognition Hilman F. Pardede, Koichi Shinoda (Tokyo Inst. of Tech.), Koji Iwano (Tokyo City Univ.) SP2011-49 |
The performance of speech recognition degrades signicantly in the noisy environment. Most compensation methods to improv... [more] | SP2011-49 pp.45-50 |
| SP | 2011-03-05 10:30 |
Tokyo | Faculty of Engineering, The University of Tokyo | Analysis of spectral space reduction in noisy speech and its application to noise robust speech recognition Mayumi Beppu, Koichi Shinoda, Sadaoki Furui (Tokyo Inst. of Tech) SP2010-122 |
It is widely known that the spectral space of spontaneous speech is reduced from that of read speech. This spectral re... [more] |
SP2010-122 pp.43-48 |
| SP | 2011-01-28 11:00 |
Kyoto | NICT | Iterative Mapping Function Estimation and Environment Structure Refinement in the Online Phase of the ESSEM Approach Yu Tsao, Ryosuke Isotani, Hisashi Kawai, Satoshi Nakamura (NICT) SP2010-112 |
Recently, we proposed an ensemble speaker and speaking environment modeling (ESSEM) approach to improve automatic speech... [more] | SP2010-112 pp.55-58 |
| SIS, IPSJ-AVM | 2010-09-03 13:00 |
Nagasaki | Nagasakiken-Kinrou-Fukushi-Kaikan | A Study of Reverberation Robust Speech Recognition Using Multi-Condition HMM Keisuke Katayama, Yoshikazu Miyanaga (Hokkaido Univ.) SIS2010-30 |
Using a speech recognition system in reverberant and noisy environment, the recognition rate is seriously declined. In ... [more] |
SIS2010-30 pp.83-88 |
| SIS | 2009-12-17 16:00 |
Kyoto | [Fellow Memorial Lecture]
On a System with High-Speed Processing and Low-Power Consumption for Speech Signal Processing Yoshikazu Miyanaga (Hokkaido Univ.) SIS2009-42 |
In this report, a new noise robust speech recognition system is introduced. As a narrow sense of speech recognition, a ... [more] | SIS2009-42 pp.67-72 |
|
| SIP, CAS, VLD | 2009-07-01 16:00 |
Hokkaido | Kushiko-shi Shogai Gakushu Center | Analysis for robustness of RSA acoustic model by distance between phonmes Kazunaga Ohnuki (Kushiro National College of Tech.), Wataru Takahashi, Shingo Yoshizawa, Yoshikazu Miyanaga (Hokkaido Univ.) CAS2009-8 VLD2009-13 SIP2009-25 |
In this report, the design of noise robust acoustic models is explained and its noise robustness based on these models... [more] |
CAS2009-8 VLD2009-13 SIP2009-25 pp.37-42 |
| SP | 2009-01-29 14:45 |
Nara | NAIST | Speeding up fundamental frequency information extraction by Hough transform for noise-rubust speech recognition Hideki Yasui, Koichi Shinoda, Sadaoki Furui (Tokyo Inst. of Tech.), Koji Iwano (Musashi Inst. of Tech.) SP2008-129 |
While $F_0$ information obtained by Hough transform has been shown to be effective in speech recognition in noisy enviro... [more] | SP2008-129 pp.19-24 |
| SP | 2008-07-17 - 2008-07-19 |
Iwate | Iwate Prefectural Univ. | Robust Front End Processing for Speech Recognition in Reverberant Environments: Utilization of Speech Properties Rico Petric (Dresden Univ. of Tech), Xugang Lu, Masashi Unoki, Masato Akagi (JAIST), Ruediger Hoffmann (Dresden Univ. of Tech) SP2008-44 |
This paper proposes two methods of robust automatic speech recognition (ASR) in reverberant environments. Unlike other m... [more] | SP2008-44 pp.7-12 |
| SIS | 2008-06-12 13:55 |
Hokkaido | A Study of Speech Features Extraction Used for Robust Speech Recognition Using RSF/DRA Mon Sato, Shingo Yosizawa, Yoshikazu Miyanaga, Noboru Hayasaka (hokkaidou Univ) SIS2008-8 |
In many speech recognition systems, the speech features are based on MFCC. Exactly speaking, the 1st - 12th MFCC, the 0t... [more] | SIS2008-8 pp.41-46 |
|
| SIS | 2008-06-13 10:10 |
Hokkaido | Acoustic Modeling for Robust Recognition using Running Spectrum Analysis Kazunaga Ohnuki (Kushiro National College of Tech.), Wataru Takahashi, Yoshikazu Miyanaga (Hokkaido Univ.) SIS2008-16 |
In this paper, new robust speech feature model is designed and applied for the continuous speech recognition system. Us... [more] | SIS2008-16 pp.11-16 |
|
| SP | 2008-03-20 15:15 |
Tokyo | Univ. Tokyo | [Poster Presentation]
Improvement of robustness using selective sound segregation for automatic speech recognition systems in noisy environments Atsushi Haniu, Masashi Unoki, Masato Akagi (JAIST) SP2007-196 |
This paper proposes the concept of our novel robust speech recognition method based on the selective sound segregation m... [more] | SP2007-196 pp.57-62 |
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