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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 47  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
EA, US
(Joint)
2022-12-23
09:00
Hiroshima Satellite Campus Hiroshima Proposal of Speech Decomposition Algorithm by Cepstral-Basis-Decomposed Nonnegative Matrix Factorization and Application to Speech Source Separation Technique
Fuga Oshima, Masashi Nakayama (Hiroshima City) EA2022-69
Nonnegative matrix factorization (NMF) is the algorithm that effectively represents acoustical signals by inputting ampl... [more] EA2022-69
pp.49-54
SP, IPSJ-SLP, IPSJ-MUS 2021-06-18
15:00
Online Online [Poster Presentation] Scream detection based on deep learning using time-sequential spectral and cepstral features
Takahiro Fukumori (Ritsumeikan Univ.) SP2021-6
Discrimination between normal speech and scream is crucial in audio surveillance and monitoring. Although deep neural ne... [more] SP2021-6
pp.31-36
SIP 2020-08-28
11:20
Online Online [Invited Talk] Blind source separation based on proximal splitting algorithm
Kohei Yatabe (Waseda Univ.) SIP2020-36
This talk presents blind source separation (BSS) from multi-channel audio signals. BSS is methodology of estimating sepa... [more] SIP2020-36
p.31
EA 2019-12-12
15:50
Fukuoka Kyushu Inst. Tech. Experimental study of robustness to spatial information in spatial cepstrum
Taiga Kawamura, Ryoichi Miyazaki (NITTC), Keisuke Imoto (Ritsumeikan Univ.) EA2019-73
In this study, we investigate how the behavior of the spatial cepstrum changes by the sound source and the movement of t... [more] EA2019-73
pp.51-56
WIT, SP 2019-10-26
16:20
Kagoshima Daiichi Institute of Technology Application of interactive and real-time tools to acoustic analysis for assessment of dysphonia
Hideki Kawahara (Wakayama Univ.), Ken-Ichi Sakakibara (Health Science Univ. Hokkaido), Kenta Wakasa (ATLUS), Hiroko Terasawa (Univ. Tsukuba) SP2019-24 WIT2019-23
We introduce a real-time and interactive tool for visualizing voice-source attributes. The tool provides a simplified ca... [more] SP2019-24 WIT2019-23
pp.39-43
EA, ASJ-H, ASJ-AA 2019-07-17
14:50
Hokkaido SAPPORO COMMUNITY PLAZA A Study on Automatic Summarization of Music Data Based on Its Acoustic Features
Yudai Kikuchi, Naofumi Aoki, Yoshinori Dobashi (Hokkaido Univ.) EA2019-19
This paper describes the method of automatic music summarization. Music has a repetitive structure, so we detect the rep... [more] EA2019-19
pp.99-102
EA 2018-10-11
14:30
Fukushima Iwaki business Innovation Center (Iwaki) A study on ship type identification by use of deep neural network
Ryouichi Nishimura, Katsuhiro Temma (NICT), Kiyohiko Hattori (Saitama Inst. of Tech.), Kenji Kaneko (TEAMS), Akinori Ito (Tohoku Univ.), Toyonobu Fujii (TEAMS), Akihiro Kijima (Tohoku Univ.) EA2018-54
Poaching has recently become a serious problem due to the globalization of food culture and the accompanied rising price... [more] EA2018-54
pp.1-6
US 2018-08-30
15:20
Tokyo Tokyo Institute of Technology A study on the size estimation of sperm whales based on their vocalizations observed with a single hydrophone -- Analysis of the archived sound data observed on deep seafloor offshore of Hatsushima Island in Sagami Bay --
Ryoichi Iwase (JAMSTEC) US2018-45
The vocalization (click) of sperm whale consists of several pulses, which is produced by multi-reflection in the body of... [more] US2018-45
pp.25-28
SP, IPSJ-SLP
(Joint)
2018-07-26
13:30
Shizuoka Sago-Royal-Hotel (Hamamatsu) [Invited Talk] Fundamentals and Research Trends on Acoustic Event and Scene Analysis
Keisuke Imoto (Ritsumeikan Univ.) SP2018-16
In this report, we review the fundamentals and research trends of acoustic event and scene analysis, which analyzes vari... [more] SP2018-16
pp.1-6
EA, ASJ-H, ASJ-AA 2018-07-24
13:00
Hokkaido Hokkaido Univ. [Poster Presentation] A Study on the Calculation of Similarity of Music Data Based on Its Acoustic Features
Yudai Kikuchi, Naofumi Aoki, Yoshinori Dobashi, Tsuyoshi Yamamoto (Hokkaido Univ.) EA2018-4
This paper explains a music similarity calculation method to provide a summary of music. There is a method for obtaining... [more] EA2018-4
pp.19-23
EMM 2018-01-29
15:55
Miyagi Tohoku Univ. (Aobayama Campus) A Study on Segmentation of Music Based on Changes in Rhythm and Timbre
Yudai Kikuchi, Naofumi Aoki, Yoshinori Dobashi, Tsuyoshi Yamamoto (Hokkaido Univ.) EMM2017-70
This paper describes a method to segment musical data based on changes in rhythm and timbre made by musical instruments ... [more] EMM2017-70
pp.25-30
SP, ASJ-H 2018-01-21
15:35
Tokyo The University of Tokyo Mel-cepstrum based quantization noise shaping applied to speech synthesis based on WaveNet
Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) SP2017-83
This paper proposes a mel-cepstrum based quantization noise shaping for improving the quality of synthetic speech genera... [more] SP2017-83
pp.93-98
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 2017-03-01
09:20
Okinawa Okinawa Industry Support Center Speech waveform synthesis based on WaveNet considering speech generation process
Akira Tamamori, Tomoki Hayashi, Tomoki Toda, Kazuya Takeda (Nagoya Univ.) EA2016-82 SIP2016-137 SP2016-77
Our aim is to realize a new vocoder, which can resolve various constraints imposed on source-filter model and deal with ... [more] EA2016-82 SIP2016-137 SP2016-77
pp.1-6
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
IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] 2017-02-21
13:45
Hokkaido Hokkaido Univ. Development of objective assessment measure to estimate mosquito noise based on cepstrum analysis
Kei Satou, Masashi Kameda (Iwate Pre. Univ.) ITS2016-55 IE2016-113
In the case of lower bit rate, the mosquito noise which is one of visual distortion is occurred around edge region in JP... [more] ITS2016-55 IE2016-113
pp.263-268
EA, EMM 2016-11-18
10:45
Oita Compal Hall (Oita) Quality estimation of speech masking system using subjective and objective evaluation scores.
Yosuke Kobayashi (Muroran Inst. of Tech.), Kazuhiro Kondo (Yamagata Univ.) EA2016-59 EMM2016-65
Currently, speech masking systems make use of pre-recorded speech signals to generate maskers. Our previous report, we p... [more] EA2016-59 EMM2016-65
pp.67-72
EA, EMM 2016-11-18
13:40
Oita Compal Hall (Oita) A study of the detection of feelings using the sound in the body in case of the different music hearing
Kenta Watanabe, Yoichi Midorikawa, Masanori Akita (Oita Univ.) EA2016-63 EMM2016-69
We have been studying feature extraction the sound signals in the human body using piezoelectric sensor and NAM micropho... [more] EA2016-63 EMM2016-69
pp.91-94
EA, EMM 2016-11-18
14:05
Oita Compal Hall (Oita) Basic Study of the Sound Quality Improvement using the Signal Enhancement of the Sound from inside of the Body
Masatoshi Tsukiashi, Yoichi Midorikawa, Masanori Akita (Oita Univ.) EA2016-64 EMM2016-70
We have studied the detection of sleepiness or the detection of the change of feelings using NAM microphones. NAM microp... [more] EA2016-64 EMM2016-70
pp.95-100
EA, SP, SIP 2016-03-28
13:15
Oita Beppu International Convention Center B-ConPlaza [Poster Presentation] Determination of Optimal Windowing Length Based on the Cepstrum Ratio for Structural Health Monitoring
Yoshinori Takahashi (TMCIT) EA2015-74 SIP2015-123 SP2015-102
This paper describes structural health monitoring using external noise. Building diagnostics using the slight vibration ... [more] EA2015-74 SIP2015-123 SP2015-102
pp.45-50
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