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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CAS, CS | 2024-03-14 13:30 |
Okinawa | Characterization of Semantic Communications in Speech Signal Transmission Futo Iwanaga, Daisuke Umehara (Kyoto Inst. of Tech.)  CAS2023-118 CS2023-111 |
In recent years, the volume of data in data communication has surged, Characterization of Semantic Communications in Spe... [more] | CAS2023-118 CS2023-111 pp.41-46 |
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| SP, IPSJ-SLP, EA, SIP [detail] | 2023-03-01 14:40 |
Okinawa | (Primary: On-site, Secondary: Online) |
Anomalous sound detection based on differential features of multi channel acoustic signals considering spatial and temporal variations Shota Nishiyama, Akira Tamamori (AIT) |
Anomalous sound detection plays an essential role in machine condition management in factory automation. The task of ano... [more] | |
| CAS, ICTSSL | 2021-01-29 15:45 |
Online | Online | Reproduction of Japanese drumming rhythm by Deep Neural Network(DNN) Kazumi Okamoto, Hiroshi Tamura (Chuo Univ.) CAS2020-69 ICTSSL2020-54 |
Recently, artificial intelligence has been applied to music, such as automatic music generation. In this paper, we propo... [more] | CAS2020-69 ICTSSL2020-54 pp.158-161 |
| EA | 2020-12-14 10:05 |
Online | Online | Speech Signal Detection Based on Bayesian Estimation by Observing Air-Conducted Speech under Existence of Surrounding Noise with Aid of Bone-Conducted Speech Akira Ikuta, Hisako Orimoto (Prefectural Univ. of Hiroshima), Kouji Hasegawa (Hiroshima Prefectural Technology Research Inst.) EA2020-48 |
When applying speech recognition systems to actual circumstances such as inspection and maintenance operations in indust... [more] | EA2020-48 pp.13-18 |
| ISEC, SITE, ICSS, EMM, HWS, BioX, IPSJ-CSEC, IPSJ-SPT [detail] | 2019-07-24 12:10 |
Kochi | Kochi University of Technology | Recording device identification based on audio distortion depending on system-on-chip Akira Nishimura (Tokyo Univ. Info. Sci.) ISEC2019-48 SITE2019-42 BioX2019-40 HWS2019-43 ICSS2019-46 EMM2019-51 |
This study addresses device-specific distortion observed in recorded audio, to identify a built-in system-on-a-chip (... [more] |
ISEC2019-48 SITE2019-42 BioX2019-40 HWS2019-43 ICSS2019-46 EMM2019-51 pp.311-316 |
| US, EA (Joint) |
2016-01-29 10:00 |
Osaka | Kansai University, Centenary Memorial Hall | Multiple devices' synchronization and positional estimation for auditory localization in a confined space Yosuke Ino, Yuki Ishikawa, Yusuke Naka, Tomoko Yonezawa (Kansai Univ.) EA2015-58 |
In this paper, we propose an auditory localization system with multiple smart devices by distributing appropriate sound ... [more] | EA2015-58 pp.19-26 |
| WIT, SP, ASJ-H, PRMU | 2015-06-18 14:25 |
Niigata | Non-Audible Murmur Enhancement Method using Air- and Body-Conductive Microphones in Noisy Environments and its Evaluation Yusuke Tajiri, Kou Tanaka, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura (NAIST) PRMU2015-42 SP2015-11 WIT2015-11 |
As one of the silent speech interfaces, Non-Audible Murmur (NAM) microphone which can detect an extremely soft whispered... [more] | PRMU2015-42 SP2015-11 WIT2015-11 pp.59-64 |
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| EA | 2014-06-27 13:30 |
Mie | Mie Univ. | An experimental study of optimum parameters in hybrid modulation based on amplitude and frequency with parametric loudspeaker for suitable speech reproduction Toru Iwasaki, Daisuke Ikefuji, Masato Nakayama, Takanobu Nishiura (Ritsumeikan Univ.) EA2014-6 |
Parametric loudspeaker with sharper directivity has been generally used for audio guidance to a specific listener. To em... [more] | EA2014-6 pp.7-12 |
| NC, MBE (Joint) |
2014-03-17 10:40 |
Tokyo | Tamagawa University | Correlation between flicker value and voice signals to tiredness Ryota Inoue, Hiromu Kishi, Satoru Kishida (Tottori Univ) NC2013-116 |
We investigated the effect of tiredness produced by a Kraepelin test on voice signals with the neural network system for... [more] | NC2013-116 pp.163-166 |
| EMM | 2014-03-07 15:00 |
Ishikawa | JAIST | [Poster Presentation]
Study on scramble method for speech signal by using random bit shift of quantization Zhi Zhu, Katsuhiko Yamamoto, Masashi Unoki (JAIST), Naofumi Aoki (Hokkaido Univ.) EMM2013-109 |
Speech scrambling aims to eliminate the intelligibility of original speech in order to preventing eavesdropping and copy... [more] | EMM2013-109 pp.57-62 |
| 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 |
| SIS | 2013-12-12 13:50 |
Tottori | Torigin Bunka Kaikan (Tottori) | Correlation between voice signals and alcohol concentrations in blood Masayuki Kawanoi, Naoki Fujiwara, Hiroki Yoshimura, Satoru Kishida (Tottori Univ.) SIS2013-37 |
We clarified the correlation between voice signals and alcohol concentrations in blood by using neural network systems f... [more] | SIS2013-37 pp.59-62 |
| SP | 2013-01-30 15:45 |
Kyoto | Doshisha Univ. | A Study on Speaker Recognition Based on Decomposition of Periodic and Aperiodic Components Yuki Ishikawa, Masafumi Nishida (Doshisha Univ.), Masakiyo Fujimoto (NTT), Seiichi Yamamoto (Doshisha Univ.) SP2012-102 |
In conventional researches, mel-frequency cepstral coefficients (MFCC) are widely used for a feature parameter which app... [more] | SP2012-102 pp.25-30 |
| EA, EMM | 2012-11-17 15:00 |
Oita | OITA Univ. | A speech signal processing method by considering finite range of amplitude fluctuation and its application to actual environment Akira Ikuta, Ran Xiao (Pref. Univ. Hiroshima), Kouji Hasegawa (Hiroshima Pref. Tec. Reseach Inst.), Mitsuo Ohta (Hiroshima Univ.) EA2012-107 EMM2012-89 |
The actual speech signal fluctuates within a finite range and the observed data sometimes display amplitude saturation o... [more] | EA2012-107 EMM2012-89 pp.153-158 |
| SP | 2011-01-27 13:00 |
Kyoto | NICT | [Invited Talk]
Recent advances of noise reduction technology in speech signal processing Hiroshi Saruwatari (NAIST) SP2010-103 |
In this paper, I review basic principles and recent advances of noise reduction methods used in speech signal proces... [more] |
SP2010-103 pp.1-6 |
| EA | 2010-11-19 11:00 |
Fukuoka | Kyushu Univ. | Noise Removal Method for Speech Recognition by Introducing Stochastic System Model Akira Ikuta, Hisako Orimoto, Yuumi Nagami (Prefectural Univ. Hiroshima), Mitsuo Ohta (Hiroshima Univ, Emeritus) EA2010-95 |
Several noise removal methods for speech recognition have been proposed up to now. In this study, a method to remove the... [more] | EA2010-95 pp.67-72 |
| SP | 2010-11-19 09:45 |
Aichi | Aichi Prefectural Univ. | Method of Speech Signal Decomposition into Periodic Component and Aperiodic Component Considering Changes in Pitch and Power Masahiro Morita, Takehiko Kagoshima (Toshiba) SP2010-79 |
For the purpose of improving the voice quality of text-to-speech (TTS), we have been considering ways to decompose a spe... [more] | SP2010-79 pp.59-64 |
| RCS, SIP | 2010-01-21 15:20 |
Fukuoka | Kyushu Univ. | A Lossless Data Hiding Method without Memorization of Hiding Parameter and Its Application to Image and Sound Takahiro Tsuneyoshi, Masaaki Fujiyoshi, Hitoshi Kiya (Tokyo Metro. Univ.) SIP2009-86 RCS2009-220 |
This paper proposes a lossless data hiding method that is a parameter free method. For the hidden data extraction in the... [more] | SIP2009-86 RCS2009-220 pp.77-82 |
| SIS | 2007-12-11 13:50 |
Hyogo | Impact Ｎoise Ｓuppression for Ｓpeech Ｓignals by Ｕsing a Ｍorphological Ｃomponent Ａnalysis with DFT Hiroaki Hayashi, Makoto Nakashizuka, Youji Iiguni (Osaka Univ.) SIS2007-66 |
Morphological component analysis (MCA) is a signal separation method using sparse signal representations. For separation... [more] | SIS2007-66 pp.47-52 |
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| IE, SIP | 2006-04-21 15:30 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | A Feedback Approach and Its Learning Algorithm for Overcomplete Blind Source Separation Haruo Katou, Kenji Nakayama, Akihiro Hirano (Kanazawa Univ.) |
A feedback structure and its learning algorithm are proposed for overcomplete blind source separation, where the number ... [more] | SIP2006-9 IE2006-9 pp.49-54 |
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