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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-06 16:25 |
Tokyo | NHK Science & Technology Research Labs. | An evaluation of representation learning using phoneme posteriorgrams and data augmentation in speech emotion recognition Shintaro Okada (Nagoya Univ.), Atsushi Ando (Nagoya Univ./NTT), Tomoki Toda (Nagoya Univ.)  SP2019-43 |
This paper presents a new speech emotion recognition method based on representation learning and data augmentation. To ... [more] |
SP2019-43 pp.91-96 |
| 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, ASJ-H, ASJ-AA | 2019-07-17 16:20 |
Hokkaido | SAPPORO COMMUNITY PLAZA | Audio database construction based on video and subtitle data posted on the Web Yuko Takai, Naofumi Aoki, Yoshinori Dobashi (Hokkaido Univ.) EA2019-22 |
Using sound data contained in the video posted on the website and user created subtitle data attached to the video, the ... [more] | EA2019-22 pp.113-116 |
| SP | 2019-06-13 13:55 |
Kanagawa | Tokyo Institute of Technology | Collection of large-scale Japanese articulatory-acoustic parallel data Kohei Wakamiya, Fumiaki Taguchi, Riko Watanabe (Kyushu Univ.), Kouichi Katsurada (Tokyo Univ. of Science), Takehiko Makino (Chuo Univ.), Tokihiko Kaburagi (Kyushu Univ.) SP2019-2 |
A large-scale Japanese articulatory-acoustic parallel data is a basic data using as a natural speech synthesis using a a... [more] | SP2019-2 pp.7-12 |
| EA, SIP, SP | 2019-03-15 13:30 |
Nagasaki | i+Land nagasaki (Nagasaki-shi) | [Poster Presentation]
A Design of Reduced Phoneme Set Based on a Language Model Shuji Komeiji, Toshihisa Tanaka (Tokyo Univ. of Agriculture and Tech.) EA2018-134 SIP2018-140 SP2018-96 |
A design of reduced phoneme set based on a language model is proposed. The reduction of the phoneme set improves discrim... [more] | EA2018-134 SIP2018-140 SP2018-96 pp.205-210 |
| ICM, LOIS | 2019-01-24 14:25 |
Kagoshima | Development of living sound and non-verbal sound real-time recognition system using imitated syllable definition against non-verbal sound Shotaro Takenouchi, Masayuki Numao (UEC) ICM2018-40 LOIS2018-46 |
We propose a real-time non-verbal sound and daily-life sound recognition system, which also reflects identificating wit... [more] | ICM2018-40 LOIS2018-46 pp.27-32 |
|
| SP, IPSJ-SLP (Joint) |
2018-07-26 17:15 |
Shizuoka | Sago-Royal-Hotel (Hamamatsu) | Knowledge Distillation from Neural Network Based Acoustic Model based on Different Decision Tree Takashi Fukuda, Samuel Thomas (IBM) SP2018-20 |
This paper proposes a method to transfer acoustic knowledge from teacher network with a different decision tree to a stu... [more] | SP2018-20 pp.21-24 |
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-19 10:25 |
Okinawa | Non-parallel and Many-to-Many Voice Conversion Using Variational Autoencoder Conditioned by Phonetic Posteriorgrams and d-vectors Yuki Saito (NTT/Univ. of Tokyo), Yusuke Ijima, Kyosuke Nishida (NTT), Shinnosuke Takamichi (Univ. of Tokyo) EA2017-105 SIP2017-114 SP2017-88 |
This paper proposes novel frameworks for non-parallel and many-to-many voice conversion (VC) using variational autoencod... [more] | EA2017-105 SIP2017-114 SP2017-88 pp.21-26 |
|
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-19 13:00 |
Okinawa | [Poster Presentation]
Text-dependent voice liveness detection based on pop-noise detector considering speaker-dependent phoneme information for speaker verification Shihono Mochizuki, Sayaka Shiota, Hitoshi Kiya (Tokyo Metropolitan Univ.) EA2017-111 SIP2017-120 SP2017-94 |
This paper proposes a pop-noise (PN) detection method considering speaker-dependent phoneme information for text-depende... [more] | EA2017-111 SIP2017-120 SP2017-94 pp.57-62 |
|
| TL | 2016-10-09 14:00 |
Hyogo | Kobe Gakuin University （Port Island Campus） | Articulatory Synchronization in Phonological Dyslexia Fusa Katada (Waseda Univ.) TL2016-31 |
The neurobiological disorder called dyslexia is a specific learning disability that affects only literacy skills. It has... [more] | TL2016-31 pp.29-34 |
| SP | 2015-08-21 15:05 |
Iwate | Iwate Prefectural Univ. | Spoken Term Detection based on Phoneme Error Pattern Training using DNN Naoki Sawada, Hiromitsu Nishizaki (Univ. of Yamanashi) SP2015-56 |
This report describes a novel spoken term detection framework based on a Deep Neural Network (DNN)-based correct phoneme... [more] | SP2015-56 pp.33-38 |
| WIT, SP, ASJ-H, PRMU | 2015-06-18 15:15 |
Niigata | Phone Labeling Based on Gaussian Mixture Model for Dysarthric Speech Recognition Yuki Takashima (Kobe Univ.), Toru Nakashika (UEC), Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) PRMU2015-44 SP2015-13 WIT2015-13 |
We investigate in this paper speech recognition for a person with an articulation disorder resulting from athetoid cereb... [more] | PRMU2015-44 SP2015-13 WIT2015-13 pp.71-76 |
|
| SIP, EA, SP | 2015-03-03 10:45 |
Okinawa | [Poster Presentation]
Effectiveness of Local Feature, Group Delay Spectrum, MFCC and Their Combination on Phoneme Recognition Performance Risa Koizumi, Kazuyuki Takagi (UEC) EA2014-108 SIP2014-149 SP2014-171 |
In most of current speech processing techniques, MFCC (Mel-Frequency Cepstrum Coefficients) obtained from amplitude spec... [more] | EA2014-108 SIP2014-149 SP2014-171 pp.197-200 |
|
| SIP, EA, SP | 2015-03-03 10:45 |
Okinawa | [Poster Presentation]
A Consideration on Deteriorated Phoneme Classification by using Haar-Wavelet for Speech Sound Super-Resolution Yuki Sugii, Akira Sano (Ryukoku Univ.) EA2014-111 SIP2014-152 SP2014-174 |
Super-resolution is a class of methods to interpolate an image data appropriately. We aim to recon- struct an identifiab... [more] | EA2014-111 SIP2014-152 SP2014-174 pp.213-217 |
|
| IA | 2014-01-30 15:25 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Are Grammars Autopoiesis ? (Digital Linguistic No.5)
-- Logics of Phonemes and Mora Generate Immune Networks of Consciousness -- Kimiaki Tokumaru (System Engineer) IA2013-72 |
Logic is a device that generates “the inevitable responses of the organism to internal and external stimuli”[1]. This de... [more] | IA2013-72 pp.25-30 |
| SP, IPSJ-SLP | 2013-12-19 14:25 |
Tokyo | Efficient Phoneme Set Design Using Phonetic Decision Tree in Dialogue-Based English CALL Systems for Japanese Students Xiaoyun Wang (Doshisha Univ.), Jinsong Zhang (Beijing Language and Culture Univ.), Masafumi Nishida, Seiichi Yamamoto (Doshisha Univ.) SP2013-84 |
Taking consideration of the characteristics of users for dialogue-based CALL systems which aim at eliciting more speech ... [more] | SP2013-84 pp.47-51 |
|
| HIP, ITE-CE, ITE-HI | 2013-11-19 13:00 |
Miyagi | RIEC, Tohoku U. | Analysis of contribution of a speaker on a monitor screen in the speech intelligibility test by phoneme using meaningless try-syllable Gen Hasegawa, Shuichi Sakamoto, Toru Abe, Tomoko Ohtani, Yo-iti Suzuki, Tetsuaki Kawase (Tohoku Univ.) HIP2013-60 |
This study focuses on which detailed parts around the speaker’s mouse contribute speech intelligibility.To examine this,... [more] | HIP2013-60 pp.1-6 |
| SIS | 2012-12-13 12:30 |
Chiba | Nihon University Tsudanuma Campus | [Tutorial Lecture]
Robust and Fast Search Algorithm for Lyric Search Covering Erroneous Queries due to Mishearing Xin Xu, Tsuneo Kato (KDDI R&D Laboratories, Inc.) SIS2012-33 |
This paper proposes a robust and fast lyric search method for music information retrieval (MIR). The effectiveness of ly... [more] | SIS2012-33 p.23 |
| SP, IPSJ-SLP (Joint) |
2012-07-19 14:30 |
Yamagata | Hotel Takinoyu (Yamagata Pref.) | Automatic pronunciation error detecting of Chinese using SVM with structural features Tongmu Zhao (Univ. of Tokyo), Akemi Hoshino (Toyama National College of Tech.), Masayuki Suzuki, Nobuaki Minematsu, Keikichi Hirose (Univ. of Tokyo) SP2012-50 |
Pronunciation errors are often made by learners of a foreign language. To build a CALL (Computer-Aided Language Learnin... [more] | SP2012-50 pp.1-6 |
| SP, NLC, IPSJ-SLP [detail] | 2011-12-19 15:45 |
Tokyo | Phoneme Recognition based on AF-HMMs with Optimal State Configuration Narpendyah W. Ariwardhani, Yurie Iribe, Kouichi Katsurada, Tsuneo Nitta (Toyohashi Univ. of Tech.) NLC2011-39 SP2011-84 |
Speeh recognition based on one-model of articulatory movement HMMs that are commonly applied to both speech recognition ... [more] | NLC2011-39 SP2011-84 pp.49-54 |
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