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 Results 1 - 12 of 12  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
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 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
SP 2019-08-28
14:40
Kyoto Kyoto Univ. [Poster Presentation] An investigation on training of WaveNet vocoder in end-to-end text-to-speech
Kazuki Yasuhara, Tomoki Hayashi, Tomoki Toda (Nagoya Univ.) SP2019-14
In this paper, we investigate the training of WaveNet vocoder in end-to-end text-to-speech. Tacotron 2, which is an end-... [more] SP2019-14
pp.31-36
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
SP, ASJ-H 2018-01-21
15:10
Tokyo The University of Tokyo Statistical voice conversion with WaveNet vocoder
Kazuhiro Kobayashi, Tomoki Hayashi, Akira Tamamori, Tomoki Toda (Nagoya Univ.) SP2017-82
 [more] SP2017-82
pp.87-92
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
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
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 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
MI 2016-01-19
13:20
Okinawa Bunka Tenbusu Kan [Poster Presentation] Fractal analysis of an Advanced Modeled Iterative Reconstruction Algorithm for the evaluation of complex structure
Wakiko Tani, Hideaki Kawamitsu, Ryuhei Fujimoto, Tomoki Maebayashi, Erina Suehiro, Rika Matoba, Toshinori Sekitani, Kiyosumi Kagawa, Noriyuki Negi, Satoru Takahashi (Kobe Univ Hospital), Toshihide Itoh (Siemens Healthcare) MI2015-81
Iterative reconstruction (IR) technique can allow a radiation dose reduction without unfavorable objective effects on im... [more] MI2015-81
pp.45-49
 Results 1 - 12 of 12  /   
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