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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 43  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
EA, EMM, ASJ-H 2022-11-22
13:00
Online Online [Fellow Memorial Lecture] Security and Privacy Preservation for Speech Signal -- Approach from speech information hiding technology --
Masashi Unoki (JAIST) EA2022-60 EMM2022-60
Non-authentic but skillfully fabricated artificial replicas of authentic media in the real world are known as “media clo... [more] EA2022-60 EMM2022-60
pp.99-104
EA, SIP, SP, IPSJ-SLP [detail] 2022-03-02
10:45
Okinawa
(Primary: On-site, Secondary: Online)
Evaluation of sentence-level generation in Japanese dialect speech synthesis using accent latent variables
Kazuya Yufune, Tomoki Koriyama, Shinnosuke Takamichi, Hiroshi Saruwatari (UTokyo) EA2021-79 SIP2021-106 SP2021-64
Japanese dialect speech synthesis is useful for personalized speech synthesis systems. However, inability to prepare acc... [more] EA2021-79 SIP2021-106 SP2021-64
pp.96-101
SP, EA, SIP 2020-03-03
09:00
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
[Poster Presentation] Initial analysis of oral reading skills obtained from large scale subjective evaluation
Takuya Ozuru (Univ. of Tokyo), Yusuke Ijima (NTT), Daisuke Saito, Nobuaki Minematsu (Univ. of Tokyo) EA2019-135 SIP2019-137 SP2019-84
Speech of professional newscasters easily suggest us his/her occupation, that is newscaster. So far, we have analyzed pr... [more] EA2019-135 SIP2019-137 SP2019-84
pp.195-200
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2019-12-06
10:35
Tokyo NHK Science & Technology Research Labs. [Invited Talk] Progress and prospects of statistical speech synthesis
Keiichi Tokuda (Nagoya Inst. of Tech.) SP2019-35
The basic problem of statistical speech synthesis is quite simple: we have a speech database for training, i.e., a set o... [more] SP2019-35
pp.11-12
SP 2019-08-28
14:40
Kyoto Kyoto Univ. [Poster Presentation] Analysis of prosodic differences between a newscaster and amateur speakers using partial-substituted synthetic speech
Takuya Ozuru (Univ. of Tokyo), Yusuke Ijima (NTT), Daisuke Saito, Nobuaki Minematsu (Univ. of Tokyo) SP2019-11
This paper analyzes prosodic differences between a professional newscaster and amateur speakers which affects listeners’... [more] SP2019-11
pp.13-18
EA, SIP, SP 2019-03-15
13:30
Nagasaki i+Land nagasaki (Nagasaki-shi) [Poster Presentation] F0 estimation using TV-CAR speech analysis based on Regularized LP
Keiichi Funaki (Univ. of the Ryukyus) EA2018-152 SIP2018-158 SP2018-114
Linear Prediction (LP) analysis is speech analysis to estimate AR(Auto-Regressive) coefficients to represent the all-pol... [more] EA2018-152 SIP2018-158 SP2018-114
pp.311-316
SIP, EA, SP, MI
(Joint) [detail]
2018-03-20
09:00
Okinawa   [Poster Presentation] Perceptual influence of spectral envelope and aperiodicity quantization for encoding high-quality speech
Genta Miyashita, Masanori Morise (Univ. of Yamanashi) EA2017-145 SIP2017-154 SP2017-128
In this paper, we investigate the relationship between the degradation of sound quality and the parameter quantization i... [more] EA2017-145 SIP2017-154 SP2017-128
pp.241-244
KBSE 2018-03-01
17:00
Okinawa   Analysis of Specification in Japanese using Natural Language Processing and Review Supporting with Speech Synthesis
Kozo Okano, Kazuma Takahashi, Yusuke Naka, Shinpei Ogata (Shinshu Univ.), Toshifusa Sekizawa (Nihon Univ.) KBSE2017-52
The requirement specification for software is often described
in a natural language and thus may include ambiguity and ... [more]
KBSE2017-52
pp.79-84
SP, ASJ-H 2018-01-20
13:00
Tokyo The University of Tokyo An extended log domain pulse model for VOCODERs
Hideki Kawahara (Wakayama Univ.) SP2017-66
We propose a new procedure to design excitation source signals for the analysis-and-synthesis systems without preserving... [more] SP2017-66
pp.1-4
SP, ASJ-H 2018-01-20
14:55
Tokyo The University of Tokyo [Poster Presentation] Influence of frame shift in speech parameters on sound quality by high-quality speech analysis/synthesis system
Genta Miyashita, Masanori Morise (Yamanashi Univ.) SP2017-72
Sound quality deterioration occurs when analyzing and synthesizing high--quality speech by using a vocoder.
We conduct ... [more]
SP2017-72
pp.35-38
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2017-12-21
12:50
Tokyo Waseda Univ. Green Computing Systems Research Organization [Poster Presentation] Realtime analysis and display of voice source periodicity
Hideki Kawahara (Wakayama Univ.), Ken-Ichi Sakakibara (Health Sciences Univ. Hokkaido) SP2017-59
This article introduces a real-time procedure for extraction and display of deviations from pure periodicity in voice ex... [more] SP2017-59
pp.21-22
SP 2017-08-30
11:00
Kyoto Kyoto Univ. [Poster Presentation] Improvement of intelligibility improvement method based on waveform processing to emphasize dynamic characteristic of speech
Hiroki Kohara, Hideki Banno, Kensaku Asahi (Meijo Univ.) SP2017-26
This paper describes intelligibility improvement method for speech signal with high quality by subband waveform processi... [more] SP2017-26
pp.33-36
SP 2017-01-21
15:35
Tokyo The University of Tokyo Conversational Speech Synthesis dealing with Sequence of Sentences
Ishin Fukuoka, Kazuhiko Iwata, Tetsunori Kobayashi (Waseda Univ.) SP2016-74
We proposed a conversational speech synthesis system that takes account of dialogue structure-based features. Convention... [more] SP2016-74
pp.59-64
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
IN, MoNA, CNR
(Joint)
2016-11-17
15:00
Kagoshima Kirishima-kanko Hotel [Invited Talk] The collaboration between Digital IT platform and Cognitive solution - IBM Bluemix + Watson
Misaki Utou (IBM Japan) MoNA2016-25
Cognitive system and Cloud platform is IBM’s focused area with high priority in 2016. IBM defines that Cognitive sy... [more] MoNA2016-25
p.17
SP 2016-01-14
15:10
Kanagawa Sunpian Kawasaki Objective evaluation of synthetic speech using association between dimensions within spectral features
Yusuke Ijima, Taichi Asami (NTT), Hideyuki Mizuno (TUSS) SP2015-90
This paper proposes a novel objective evaluation technique for statistical parametric speech synthesis. A novel point of... [more] SP2015-90
pp.27-32
SP 2016-01-14
15:35
Kanagawa Sunpian Kawasaki Pitch-synchronous band group delay vocoder for high quality speech synthesis
Masatsune Tamura, Ryo Morinaka, Masahiro Morita (Toshiba) SP2015-91
This paper presents a speech analysis and synthesis method that can precisely synthesize speech waveforms for high quali... [more] SP2015-91
pp.33-38
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2015-12-02
11:15
Aichi Nagoya Inst of Tech. Evaluation and Analysis of Duration Correction for Non-Native Speech Based on Waveform Modification
Shinya Kura, Shinnosuke Takamichi (NAIST), Tomoki Toda (NAIST/Nagoya Univ.), Graham Neubig, Sakriani Sakti, Satoshi Nakamura (NAIST) SP2015-73
There are several attempts at correcting durational patterns of non-native speech towards language learning. One of the ... [more] SP2015-73
pp.19-24
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2015-12-03
09:25
Aichi Nagoya Inst of Tech. Deep Auto-encoder based Low-dimensional Feature Extraction using FFT Spectral Envelopes in Statistical Parametric Speech Synthesis
Shinji Takaki, Junichi Yamagishi (NII) SP2015-81
In the state-of-the-art statistical parametric speech synthesis system, a speech analysis module, e.g. STRAIGHT spectral... [more] SP2015-81
pp.99-104
SP 2014-11-13
17:20
Fukuoka Kyushu Univ. Chikushi Campus Emotional speech synthesis for long words by generalizing accent types
Yuko Aoyama (hakase.com), Tsuyoshi Moriyama (Tokyo Polytechnic Univ.) SP2014-96
More desirable speech synthesis methods require fewer number of training samples in synthesizing various kinds and stren... [more] SP2014-96
pp.37-40
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