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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 67  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
ET 2023-03-14
17:35
Tokushima Tokushima University
(Primary: On-site, Secondary: Online)
ET2022-78 (To be available after the conference date) [more] ET2022-78
pp.117-122
EA 2022-05-13
14:35
Online Online A serial anomalous sound detection method using outlier exposure based on two types of binary classification
Ibuki Kuroyanagi (Nagoya Univ.), Tomoki Hayashi (Nagoya Univ./HDL/), Kazuya Takeda, Tomoki Toda (Nagoya Univ.) EA2022-8
Anomalous sound detection systems use only normal sound data to detect unknown, atypical sounds. Conventional methods us... [more] EA2022-8
pp.35-40
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-04
09:00
Online Online Anomalous Sound Detection Using a Binary Classification Model Considering Class Centroids
Ibuki Kuroyanagi, Tomiki Hayashi, Kazuya Takeda, Tomoki Toda (Nagoya Univ) EA2020-79 SIP2020-110 SP2020-44
In an anomalous sound detection system, it is necessary to detect unknown anomalous sounds using only normal sound data.... [more] EA2020-79 SIP2020-110 SP2020-44
pp.114-121
SP, EA, SIP 2020-03-03
09:00
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
Cross-Lingual Voice Conversion using Cyclic Variational Auto-encoder
Hikaru Nakatani, Patrick Lumban Tobing, Kazuya Takeda, Tomoki Toda (Nagoya Univ.) EA2019-139 SIP2019-141 SP2019-88
In this report, we present a novel cross-lingual voice conversion (VC) method based on cyclic variational auto-encoder (... [more] EA2019-139 SIP2019-141 SP2019-88
pp.219-224
SP, EA, SIP 2020-03-03
09:00
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
Semi-supervised Self-produced Speech Enhancement and Suppression Based on Joint Source Modeling of Air- and Body-conducted Signals Using Variational Autoencoder
Shogo Seki, Moe Takada, Kazuya Takeda, Tomoki Toda (Nagoya Univ.) EA2019-140 SIP2019-142 SP2019-89
This paper proposes a semi-supervised method for enhancing and suppressing self-produced speech, using a variational aut... [more] EA2019-140 SIP2019-142 SP2019-89
pp.225-230
SP 2019-08-28
14:40
Kyoto Kyoto Univ. [Poster Presentation] Intelligibility enhancement based on speech waveform modification using hearing impairment simulator
Shu Hikosaka, Kazuhiro Kobayashi, Tomoki Hayashi, Shogo Seki, Kazuya Takeda (Nagoya Univ.), Hideki Banno (Meijo Univ.), Tomoki Toda (Nagoya Univ.) SP2019-13
For sensory hearing loss, which is difficult to treat medically, a hearing aid is commonly used to assist the hearing fu... [more] SP2019-13
pp.25-29
EA, SIP, SP 2019-03-15
13:30
Nagasaki i+Land nagasaki (Nagasaki-shi) [Poster Presentation] An Evaluation of Underdetermined Source Separation Based on Multichannel Variational Autoencoder
Shogo Seki (Nagoya Univ.), Hirokazu Kameoka (NTT), Li Li (Univ. Tsukuba), Tomoki Toda, Kazuya Takeda (Nagoya Univ.) EA2018-154 SIP2018-160 SP2018-116
This paper deals with a multichannel audio source separation problem under underdetermined conditions. Multichannel Non-... [more] EA2018-154 SIP2018-160 SP2018-116
pp.323-328
HCGSYMPO
(2nd)

Mie Sinfonia Technology Hibiki Hall Ise An Semi-Automatic Dialogue System between an Operator and Multiple Users of an Empirical Study for Supporting Elderly People
Yusuke Sakai, Yoshio Ishiguro (Nagoya Univ.), Akira Tamaori (Aichi Inst. of Tech.), Kei Hiroi, Nobuo Kawaguchi, Kazuya Takeda (Nagoya Univ.)
We are conducting an empirical study for encouraging elderly people to be more active by interacting with them based on ... [more]
SP 2018-08-27
15:55
Kyoto Kyoto Univ. Sound Event Encoder Using Onomatopoeic Representations based on End-to-End Approach
Koichi Miyazaki, Tomoki Hayashi, Tomoki Toda, Kazuya Takeda (Nagoya Univ.) SP2018-30
In this paper, we propose a sound event encoder for converting sound events into their onomatopoeic representations. The... [more] SP2018-30
pp.37-42
SP, ASJ-H 2018-01-21
14:45
Tokyo The University of Tokyo An investigation of multi-speaker WaveNet vocoder
Tomoki Hayashi, Kazuhiro Kobayashi, Akira Tamamori, Kazuya Takeda, Tomoki Toda (Nagoya Univ.) SP2017-81
In this paper, we investigate a multi-speaker WaveNet vocoder. In our previous work, we have demonstrated that our propo... [more] SP2017-81
pp.81-86
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2017-12-21
12:50
Tokyo Waseda Univ. Green Computing Systems Research Organization [Poster Presentation] Development of Speaker/Environment-Dependent Acoustic Model for Non-Audible Murmur Recognition Based on DNN Adaptation
Seita Noda, Tomoki Hayashi, Tomoki Toda, Kazuya Takeda (Nagoya Univ.) SP2017-56
In this research, we aim to improve the performance of non-audible murmur (NAM) recognition towards the development of s... [more] SP2017-56
pp.7-10
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2017-12-21
12:50
Tokyo Waseda Univ. Green Computing Systems Research Organization [Poster Presentation] An Evaluation of Speech Waveform Modification Methods towards Improvement of Speech Intelligibility in Noisy Environment
Tomohiro Takeyama, Kazuhiro Kobayashi, Tomoki Toda, Kazuya Takeda (Nagoya Univ.) SP2017-57
In this research, in order to improve speech intelligibility for a listener under the noisy environment, we propose a te... [more] SP2017-57
pp.11-16
EA, ASJ-H 2017-07-20
13:40
Hokkaido Hokkaido Univ. Explicit Event Duration-Controlled BLSTM-HSMM Hybrid Model for Polyphonic Sound Event Detection
Tomoki Hayashi (Nagoya Univ.), Shinji Watanabe (MERL), Tomoki Toda (Nagoya Univ.), Takaaki Hori, JonathanLe Roux (MERL), Kazuya Takeda (Nagoya Univ.) EA2017-2
This paper presents a new BLSTM-HSMM hybrid approach for polyphonic Sound Event Detection (SED). It builds upon a state-... [more] EA2017-2
pp.9-14
NS, IN
(Joint)
2017-03-03
11:00
Okinawa OKINAWA ZANPAMISAKI ROYAL HOTEL Analysis of Segmented File Download Methods using PR-SCTP in Saturated Flow Cases -- Relation between Back-off Duration and Control Parameters on Servers --
Kazuya Takeda, Junichi Funasaka, Kenji Ishida (Hirosima City Univ.) NS2016-193
On the network where packets are often lost due to data-link errors like wireless one, a segmented file download method ... [more] NS2016-193
pp.205-210
SP, SIP, EA 2017-03-01
10:50
Okinawa Okinawa Industry Support Center Missing Component Restoration for Speech Spectrogram Based on Time-domain Signal Estimation
Shogo Seki (Nagoya Univ.), Hirokazu Kameoka (NTT), Tomoki Toda, Kazuya Takeda (Nagoya Univ.) EA2016-85 SIP2016-140 SP2016-80
This study proposes a missing component restoration method for time-frequency masked speech spectrogram based on time-do... [more] EA2016-85 SIP2016-140 SP2016-80
pp.19-24
SP 2016-08-24
13:00
Kyoto ACCMS, Kyoto Univ. Adaptation Methods for Daily Activity Recognition Based on Deep Neural Network
Tomoki Hayashi (Nagoya Univ.), Norihide Kitaoka (Tokushima Univ.), Tomoki Toda, Kazuya Takeda (Nagoya Univ.) SP2016-27
Our objective is to build a monitoring system which enables elderly people to live actively, and the key technology to a... [more] SP2016-27
pp.1-6
SP 2016-08-24
13:25
Kyoto ACCMS, Kyoto Univ. Daily Activity Recognition Based on Recurrent Neural Network
Akira Tamamori, Tomoki Hayashi, Tomoki Toda, Kazuya Takeda (Nagoya Univ.) SP2016-28
Our goal is to build an automatic surveillance system for elderly people and the core technique is daily activity recogn... [more] SP2016-28
pp.7-12
EA, SP, SIP 2016-03-28
09:00
Oita Beppu International Convention Center B-ConPlaza Method of presenting sound signals for selective listening system
Tomomi Suzuki (Nagoya Univ.), Takanori Nishino (Mie Univ.), Yoshio Ishiguro, Tomoki Toda, Kazuya Takeda (Nagoya Univ.) EA2015-66 SIP2015-115 SP2015-94
We are able to selectively concentrate on the desired acoustic information in the environmental sounds.
The aim of this... [more]
EA2015-66 SIP2015-115 SP2015-94
pp.1-6
NS, IN
(Joint)
2016-03-04
13:50
Miyazaki Phoenix Seagaia Resort Evaluation on Required Time and Arrival Order of Blocks for Segmented File Downloading Methods Using PR-SCTP
Kazuya Takeda, Funasaka Junichi (Hirosima City Univ.) NS2015-238
To yield better performance on highly lossy networks, a segmented file download method composed of both Time-to-Live(TTL... [more] NS2015-238
pp.405-410
IN 2015-10-16
13:30
Osaka Osaka University Performance Enhancement of Segmented File Download Method Using PR-SCTP with Suitable Control Parameters
Kazuya Takeda, Funasaka Junichi (Hirosima City Univ.) IN2015-59
To yield better performance on highly lossy networks, a segmented file download method composed of both Time-to-Live (TT... [more] IN2015-59
pp.35-40
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