Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
US |
2017-05-22 13:30 |
Tokyo |
|
Fundamental study of high-resolution acoustic impedance analysis for soft tissue Tamaki Honda, Kazuyo Ito, Kenji Yoshida, Tadashi Yamaguchi (Chiba Univ.) US2017-14 |
Evaluation of acoustic properties of tissue in microscopic region leads to understanding the relationship between echo s... [more] |
US2017-14 pp.1-5 |
NLP |
2017-03-14 13:25 |
Aomori |
Nebuta Museum Warasse |
A comparative review of coupled thermoacoustic oscillators and coupled Stuart-Landau oscillators Takahiro Kouda, Hakui Teki (Osaka Pref. Univ.), Yoshiki Sugitani (Ibaraki Univ.), Keiji Konishi, Naoyuki Hara (Osaka Pref. Univ.) NLP2016-111 |
Synchronization and amplitude death of a pair of thermoacoustic oscillators coupled by two types of connections, the dis... [more] |
NLP2016-111 pp.31-35 |
SP, SIP, EA |
2017-03-01 12:40 |
Okinawa |
Okinawa Industry Support Center |
[Poster Presentation]
Indoor-environmental sound identification based on deep neural network with higher-dimensional features Sakiko Mishima, Yukoh Wakabayashi, Takahiro Fukumori, Masato Nakayama, Takanobu Nishiura (Ritsumeikan Univ.) EA2016-87 SIP2016-142 SP2016-82 |
Surveillance systems with a video camera have been utilized for the safety of people. It is important to identify the in... [more] |
EA2016-87 SIP2016-142 SP2016-82 pp.31-36 |
SP, SIP, EA |
2017-03-01 12:40 |
Okinawa |
Okinawa Industry Support Center |
[Poster Presentation]
An investigation of speaker adaptation method for DNN-based speech synthesis using speaker codes Nobukatsu Hojo, Yusuke Ijima (NTT) EA2016-108 SIP2016-163 SP2016-103 |
In this work, we conducted objective evaluation experiments on the conventional speaker adaptation methods for DNN-based... [more] |
EA2016-108 SIP2016-163 SP2016-103 pp.147-152 |
SP, SIP, EA |
2017-03-02 09:00 |
Okinawa |
Okinawa Industry Support Center |
[Poster Presentation]
An adaptive ARMA fitting model for conventional room transfer function a comparison study Chibana Kengo, Bruno Senzio Savino Barzel (Ryukyu Univ) EA2016-128 SIP2016-183 SP2016-123 |
In this research, a series of simulations consisting of different echo paths and signals were implemented. For ARMA fitt... [more] |
EA2016-128 SIP2016-183 SP2016-123 pp.261-265 |
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 |
EA, US (Joint) |
2017-01-25 13:00 |
Kyoto |
Doshisha Univ. |
[Poster Presentation]
Relationship between speech intelligibility and spectro-temporal variation of speech distortion Yumiko Moriyama, Mitsunori mizumachi (KIT) EA2016-68 |
It is necessary to subjectively evaluate speech intelligibility, that is, how comprehensible speech is, in each acoustic... [more] |
EA2016-68 pp.1-6 |
SP |
2017-01-21 15:10 |
Tokyo |
The University of Tokyo |
A Study on the Construction of Articulatory to Acoustic Mapping by Using Deep Neural Network Fumiaki Taguchi, Tokihiko Kaburagi (Kyushu Univ.) SP2016-73 |
This paper presents a method for estimating time series of the acoustic property of the vocal tract expressed by line sp... [more] |
SP2016-73 pp.53-57 |
SP |
2017-01-21 16:35 |
Tokyo |
The University of Tokyo |
Simultaneous modeling of acoustic feature sequences and its temporal structures for DNN-based speech synthesis Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) SP2016-76 |
In statistical parametric speech synthesis, a hidden Markov model (HMM) is widely used as an acoustic model. Recently, d... [more] |
SP2016-76 pp.71-76 |
SP |
2016-10-27 16:00 |
Shizuoka |
Shizuoka University. |
Word modeling for end-to-end Japanese speech recognition Hitoshi Ito, Aiko Hagiwara, Manon Ichiki, Takeshi Mishima, Shoei Sato (NHK), Akio Kobayashi (NES) SP2016-47 |
In this paper, we propose a novel modeling for end-to-end Japanese speech recognition using Deep Neural Networks(DNN). W... [more] |
SP2016-47 pp.31-36 |
PRMU, IPSJ-CVIM, IBISML [detail] |
2016-09-05 16:45 |
Toyama |
|
Acoustic event detection and removal using LSTM-CTC for speech recognition Yu Nasu (former Toshiba), Hiroshi Fujimura (Toshiba) PRMU2016-69 IBISML2016-24 |
Deep learning techniques have drastically increased the speech recognition performance. However, there are few practical... [more] |
PRMU2016-69 IBISML2016-24 pp.121-126 |
SP |
2016-08-24 14:00 |
Kyoto |
ACCMS, Kyoto Univ. |
[Invited Talk]
Unsupervised Music Understanding based on Hierarchical Bayesian Acoustic and Language Models Kazuyoshi Yoshii (Kyoto Univ.) SP2016-29 |
This paper presents a statistical approach to unsupervised music understanding. Our goal is to estimate musical notes fr... [more] |
SP2016-29 pp.13-18 |
SP |
2016-08-25 13:35 |
Kyoto |
ACCMS, Kyoto Univ. |
Diversity-driven Semi-supervised Ensemble DNN Acoustic Model Training Sheng Li (Kyoto Univ.), Xugang Lu (NICT), Shinsuke Sakai, Tatsuya Kawahara (Kyoto Univ.) SP2016-40 |
We focus on effective training DNN (Deep Neural Network) acoustic models for Chinese spoken lectures with only limited l... [more] |
SP2016-40 pp.71-76 |
SAT, RCS (Joint) |
2016-08-18 10:20 |
Miyagi |
Tohoku Gakuin University |
Joint Estimation Schemes of Channel Impulse Responses and Noises Using M Sequences for Underwater Acoustic Channels Souichiro Morita, Akinobu Murayama, Hiroshi Kubo (Ritsumeikan Univ.) RCS2016-131 |
This paper proposes a joint estimation scheme of time-varying channel impulse responses (CIR) and noises using M sequenc... [more] |
RCS2016-131 pp.13-18 |
SP, IPSJ-SLP (Joint) |
2016-07-28 14:00 |
Yamagata |
Takinoyu Hotel |
Evaluation of Japanese English DNN Acoustic Models with English Level Yuta Kawachi, Hirokazu Masataki, Taichi Asami, Yushi Aono (NTT) SP2016-20 |
In this paper, we propose an acoustic model that takes into consideration foreign language fluency level by extracting a... [more] |
SP2016-20 pp.1-6 |
SP, IPSJ-SLP (Joint) |
2016-07-28 15:45 |
Yamagata |
Takinoyu Hotel |
On the Use of Speaker Codes for Multi-Speaker Modeling in DNN-based Speech Synthesis Nobukatsu Hojo, Yusuke Ijima (NTT), Hideyuki Mizuno (Tokyo University of Science, Suwa) SP2016-22 |
Recent studies have shown that DNN-based speech synthesis can generate more natural synthesized speech than the conventi... [more] |
SP2016-22 pp.13-18 |
SP, IPSJ-SLP (Joint) |
2016-07-29 16:00 |
Yamagata |
Takinoyu Hotel |
A study of acustic distance construction methods for spoken term detection Ryota Konno (IPU), Shi-wook Lee (AIST), Kazuyo Tanaka (Univ. of Tsukuba), Kazunori Kojima, Yoshiaki Itoh (IPU) SP2016-25 |
This paper proposes acoustic distance construction methods for spoken term detection. [more] |
SP2016-25 pp.27-32 |
US |
2016-05-23 14:45 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Basic examination for analyzing acoustic characteristics of cell organelle Deng ZhiHao, Kazuyo Ito, Kenji Yoshida, Hitoshi Maruyama, Tadashi Yamaguchi (Chiba Univ.) US2016-15 |
This paper demonstrate the measurement of speed of sound (SOS) in different disease model (cirrhotic model and normal mo... [more] |
US2016-15 pp.19-24 |
US |
2016-04-18 15:30 |
Tokyo |
Nishi-Waseda Campus, Waseda University |
A study for the establishment of a design approach in looped-tube thermoacoustic system using Phase Adjuster Sho Kawaminami (Doshisha Univ.), Shin-ichi Sakamoto (Univ. of Shiga Pref.), Kazusa Taga, Yoshiaki Watanabe (Doshisha Univ.) US2016-8 |
A cooling system can be realized by using the thermoacoustic phenomena deriving with the unused energy such as a waste h... [more] |
US2016-8 pp.41-46 |
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 |