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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 26  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
EA 2019-12-13
10:55
Fukuoka Kyushu Inst. Tech. Detection of individuality of the Lombard effect in case of hearing colored noise
Satoshi Ito, Ayane Kitazato, Yoichi Midorikawa, Masanori Akita (Oita Univ) EA2019-75
The relation between the Lombard effect and the detection of human feelings is tested in our laboratory. This method in ... [more] EA2019-75
pp.65-70
SP 2019-01-26
13:30
Ishikawa Kanazawa-Harmonie [Keynote Address] Voice Modification for Announcement of Evacuation Guidance in Noisy Reverberant Environments
Masato Akagi, Masashi Unoki, Rieko Kubo, Maori Kobayashi (JAIST) SP2018-51
The authors are studying on realization of voice evacuation guidance system to reliably convey information with high int... [more] SP2018-51
pp.1-4
EA 2018-02-15
14:30
Hiroshima Pref. Univ. Hiroshima The influence that a quality change of the steady noise environment gives for Lombard effect
Wataru Saito, Masanori Akita, Yoichi Midorikawa (Oita Univ.) EA2017-93
We measured the shift of the formant frequencies of Japanese 5 vowels under the noisy environment to detect the quantity... [more] EA2017-93
pp.1-6
SP 2017-08-30
15:50
Kyoto Kyoto Univ. Detection of noisy-and-reverberant shouted speech using rahmonic and mel-frequency cepstrum coefficients
Takahiro Fukumori, Masato Nakayama, Takanobu Nishiura (Ritsumeikan Univ.), Hiroaki Nanjo (Kyoto Univ.) SP2017-31
This paper describes a method based on new combined features with mel-frequency cepstrum coefficients (MFCCs) and rahmon... [more] SP2017-31
pp.49-54
SP, SIP, EA 2017-03-02
09:00
Okinawa Okinawa Industry Support Center [Poster Presentation] Performance evaluation of noisy shouted speech detection based on acoustic model with rahmonic and mel-frequency cepstrum coefficients
Takahiro Fukumori, Masato Nakayama, Takanobu Nishiura (Ritsumeikan Univ.), Hiroaki Nanjo (Kyoto Univ.) EA2016-132 SIP2016-187 SP2016-127
This paper describes a method based on new combined features with mel-frequency cepstrum coefficients (MFCCs) and rahmon... [more] EA2016-132 SIP2016-187 SP2016-127
pp.283-286
EA, SP, SIP 2016-03-29
09:00
Oita Beppu International Convention Center B-ConPlaza [Poster Presentation] Speaker verification using weight-adapted score fusion in noisy reverberant environments
Ryosuke Nakanishi, Sayaka Shiota, Hitoshi Kiya (Tokyo Metropolitan Univ.) EA2015-114 SIP2015-163 SP2015-142
This paper proposes a weight estimation method for automatic speaker verification (ASV) using score fusion in noisy reve... [more] EA2015-114 SIP2015-163 SP2015-142
pp.267-272
NLC, IPSJ-NL, SP, IPSJ-SLP, JSAI-SLUD
(Joint) [detail]
2014-12-15
10:45
Kanagawa Tokyo Institute of Technology (Suzukakedai Campus) Investigation of Deep Neural Network and Cross-adaptation for Voice Activity Detection in Meeting Speech
Akihiro Nakadani (Shizuoka Univ.), Longbiao Wang (Nagaoka Univ. of Tech.), Atsuhiko Kai (Shizuoka Univ.) SP2014-107
In voice activity detection(VAD), performance largely decreases under the influence of noise and reverberation. In this ... [more] SP2014-107
pp.19-24
NLC, IPSJ-NL, SP, IPSJ-SLP, JSAI-SLUD
(Joint) [detail]
2014-12-16
11:00
Kanagawa Tokyo Institute of Technology (Suzukakedai Campus) Multimodal Voice Conversion using Weighted Features in Noisy Environments
Kenta Masaka, Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) SP2014-116
Voice conversion is a technique for converting specific information in speech while maintaining the other information, s... [more] SP2014-116
pp.87-92
SP 2014-11-14
11:20
Fukuoka Kyushu Univ. Chikushi Campus An evaluation of target speech for nonaudible murmur enhancement focusing on its intelligibility under noisy environments
Sakura Tsuruta, Kou Tanaka, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura (NAIST) SP2014-102
Nonaudible murmur (NAM) is a soft whispered voice recorded with a NAM microphone through body conduction. NAM is effecti... [more] SP2014-102
pp.71-76
SP, IPSJ-MUS 2014-05-25
11:30
Tokyo   Modulation transfer function based robust method of voice activity detection for noisy reverberant environments -- Utilization of subband SNR estimation --
Shota Morita, Masashi Unoki (JAIST), Xugang Lu (NICT), Masato Akagi (JAIST) SP2014-41
Most of the current voice activity detection (VAD) algorithms deal with clean speech or additive noisy speech. However, ... [more] SP2014-41
pp.383-388
EA 2014-03-28
15:15
Tokyo NHK Science & Technology Research Labs. Binaural sound source localization in noisy reverberant environments based on Equalization-Cancellation Theory
Thanh Duc Chau (JAIST), Junfeng Li (IOA.CAS), Masato Akagi (JAIST) EA2013-123
Sound source localization (SSL) with a binaural input in practical environments is a challenging task due to the effect ... [more] EA2013-123
pp.19-24
EA 2013-12-14
14:35
Ishikawa Satellite Plaza of Kanazawa University Speech intelligibility affected by acoustic characteristics changed in utterance under noisy environment.
Takashi Takayama, Takeshi Saitou, Masato Miyoshi (Kanazawa Univ.) EA2013-100
The aim of this study is to construct a control method of acoustic characteristics for improving speech intelligibility ... [more] EA2013-100
pp.73-78
NLP 2013-03-14
11:10
Chiba Nishi-Chiba campus, Chiba Univ. Estimation of Phase Resetting Curves from Frequency Entrainment under Noisy Environments
Takahiro Yoshikawa, Eri Nishiyama, Hisa-Aki Tanaka (Univ. of Electro- Comm.) NLP2012-148
We consider possibility that frequency entrainments to small periodic injections estimate phase resetting curve (PRC) in... [more] NLP2012-148
pp.25-26
SP, IPSJ-SLP
(Joint)
2012-07-21
10:00
Yamagata Hotel Takinoyu (Yamagata Pref.) Acoustic model adaptation choosing static and dynamic streams in noisy environments
Satoshi Tamura, Satoru Hayamizu (Gifu Univ.) SP2012-56
In this paper, an acoustic model adaptation method based on multi streams is proposed for speech recognition in noisy or... [more] SP2012-56
pp.33-38
EA, SP, SIP 2012-05-24
13:20
Osaka Osaka Univ. Nakanoshima Center DSP Implementation of Noise Suppression Method in a Noisy Factory Environment
Hiromasa Terashima, Hidesumi Moriya, Takahiro Natori (Tokyo Univ. of Science, Suwa), Masahide Wakamiko (MICRON SEIKO Co., Ltd.), Nari Tanabe (Tokyo Univ. of Science, Suwa), Toshihiro Furukawa (Tokyo Univ. of Science) EA2012-7 SIP2012-7 SP2012-7
We presents a noise suppression method for noisy factory environment. The proposed algorithm (Step 1)determine the voise... [more] EA2012-7 SIP2012-7 SP2012-7
pp.35-40
EA, SP, SIP 2012-05-25
14:35
Osaka Osaka Univ. Nakanoshima Center Combination of noise compensation and SPLICE for noise robust speech recognition
Tsunenobu Kai, Masayuki Suzuki, Nobuaki Minematsu, Keikichi Hirose (The Univ. of Tokyo) EA2012-28 SIP2012-28 SP2012-28
Recently, voices are often used as input modality to mobile terminals or car navigation systems. However, the voices rec... [more] EA2012-28 SIP2012-28 SP2012-28
pp.161-166
EA, SIP, SP 2011-05-12
13:00
Osaka Ritsumeikan Univ. Study on the power envelope restoration based on the MTF concept and its application to ASR systems in noisy reverberant environments
Shota Morita (JAIST), Xugang Lu (NICT), Masashi Unoki, Masato Akagi (JAIST), Ruediger Hoffmann (TUD) EA2011-7 SIP2011-7 SP2011-7
We previously proposed a method for restoring the speech power envelope from noisy reverberant speech based on a simple ... [more] EA2011-7 SIP2011-7 SP2011-7
pp.37-42
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
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
SP 2010-06-18
09:30
Fukuoka Kyushu University Feature Extraction with Bilateral Filter for Real Environment Speech Recognition
Keishiro Yamada, Yasuo Ariki, Tetsuya Takiguchi (Kobe Univ.) SP2010-29
In this paper, we propose a method to reduce the noise component superimposed on speech with keeping the formants and th... [more] SP2010-29
pp.43-48
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