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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| HIP | 2016-09-27 16:05 |
Nara | Eye-gaze based Unknown Word Detection in Non-native Language Reading considering Part-of-speech Tag and Personalization Rui Hiraoka, Hiroki Tanaka, Sakriani Sakti, Graham Neubig, Satoshi Nakamura (NAIST)  HIP2016-48 |
This paper proposes a method to detect unknown words during natural reading by using eye-tracking technique. A previous ... [more] | HIP2016-48 pp.29-34 |
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| HCS, HIP, HI-SIGCOASTER [detail] | 2016-05-19 15:00 |
Okinawa | Okinawa Industry Support Center | Unknown Word Detection in Foreign Language based on Eye Gaze Features by SVM Rui Hiraoka, Hiroki Tanaka, Sakriani Sakti, Koichiro Yoshino, Graham Neubig, Satoshi Nakamura (NAIST) HCS2016-27 HIP2016-27 |
This paper proposes a method to detect unknown words during natural reading by using eye-tracking technique. A previous ... [more] | HCS2016-27 HIP2016-27 pp.213-218 |
| SP | 2015-10-16 10:25 |
Hyogo | Kobe Univ. | Automated Commucation Training System with Multimodal information Hiroki Tanaka, Sakti Sakriani, Neubig Graham (NAIST), Hideki Negoro, Hidemi Iwasaka (Nara University of Education), Satoshi Nakamura (NAIST) SP2015-67 |
[more] | SP2015-67 pp.45-50 |
| SP, IPSJ-SLP (Joint) |
2015-07-16 13:30 |
Nagano | Katakura Suwako Hotel | Acoustic data-driven pronunciation lexicon for non-native speech recognition Satoshi Tsujioka (NAIST), Liang Lu (University of Edinburgh), Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura (NAIST) SP2015-36 |
Nowadays, the English language is often used as a tool to facilitate communication at international meetings. Consequent... [more] | SP2015-36 pp.1-6 |
| WIT, SP, ASJ-H, PRMU | 2015-06-18 15:15 |
Niigata | Implementation of Direct F0 Control of an Electrolarynx based on Real-time Excitation Prediction Kou Tanaka, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura (NAIST) PRMU2015-40 SP2015-9 WIT2015-9 |
[more] | PRMU2015-40 SP2015-9 WIT2015-9 pp.47-52 |
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| WIT, SP, ASJ-H, PRMU | 2015-06-18 14:25 |
Niigata | Non-Audible Murmur Enhancement Method using Air- and Body-Conductive Microphones in Noisy Environments and its Evaluation Yusuke Tajiri, Kou Tanaka, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura (NAIST) PRMU2015-42 SP2015-11 WIT2015-11 |
As one of the silent speech interfaces, Non-Audible Murmur (NAM) microphone which can detect an extremely soft whispered... [more] | PRMU2015-42 SP2015-11 WIT2015-11 pp.59-64 |
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| NLC, IPSJ-NL, SP, IPSJ-SLP, JSAI-SLUD (Joint) [detail] |
2014-12-16 11:00 |
Kanagawa | Tokyo Institute of Technology (Suzukakedai Campus) | Prosody Correction Preserving Speaker Individuality in English-Read-By-Japanese Speech Synthesis Based on HMM Yuji Oshima, Shinnosuke Takamichi, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura (NAIST) SP2014-112 |
To build an English acoustic model that well captures speaker individuality of each Japanese speaker, a framework using ... [more] | SP2014-112 pp.63-68 |
| ET | 2014-11-14 10:05 |
Osaka | Osaka Prefecture University (Nakamozu Campus) | Automating Social Skills Training Hiroki Tanaka, Sakriani Sakti, Graham Neubig, Tomoki Toda (NAIST), Hideki Negoro, Hidemi Iwasaka (Nara Univ. of Edu.), Satoshi Nakamura (NAIST) ET2014-61 |
Social skills training is a well-established method to decrease human anxiety and discomfort in social interaction, and ... [more] | ET2014-61 pp.1-6 |
| SP | 2014-11-14 10:55 |
Fukuoka | Kyushu Univ. Chikushi Campus | Design of control parameters for voice quality control based on multiple-regression Gaussian mixture model Kazutaka Kubo, Kazuhiro Kobayashi, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura (NAIST) SP2014-101 |
This report presents a method for designing control parameters in statistical voice quality control. As a method for int... [more] | SP2014-101 pp.65-70 |
| SP | 2014-11-14 11:20 |
Fukuoka | Kyushu Univ. Chikushi Campus | An evaluation of target speech for nonaudible murmur enhancement focusing on its intelligibility under noisy environments Sakura Tsuruta, Kou Tanaka, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura (NAIST) SP2014-102 |
Nonaudible murmur (NAM) is a soft whispered voice recorded with a NAM microphone through body conduction. NAM is effecti... [more] | SP2014-102 pp.71-76 |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] | 2014-06-27 15:25 |
Okinawa | Okinawa Institute of Science and Technology | Probabilistic Enhancement of EEG Component Using Prior Distribution of Correlations Between Channels Hayato Maki, Tomoki Toda, Sakriani Sakti, Graham Neubig, Satoshi Nakamura (NAIST) NC2014-15 IBISML2014-15 |
[more] | NC2014-15 IBISML2014-15 pp.237-242 |
| SP, WIT, ASJ-H | 2014-06-19 16:25 |
Ishikawa | An Evaluation through Simulation for Direct F0 Control of an Electrolarynx based on Statistical Excitation Feature Prediction Kou Tanaka, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura (NAIST) SP2014-52 WIT2014-7 |
[more] | SP2014-52 WIT2014-7 pp.33-38 |
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| SP, IPSJ-MUS | 2014-05-25 11:30 |
Tokyo | Statistical approach to perceived age control of singing voice Kazuhiro Kobayashi, Tomoki Toda (NAIST), Tomoyasu Nakano, Masataka Goto (AIST), Graham Neubig, Sakriani Sakti, Satoshi Nakamura (NAIST) SP2014-30 |
The perceived age of a singing voice is the age of the singer as perceived by the listener, and is one of the notable ch... [more] | SP2014-30 pp.321-326 |
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| SP, IPSJ-MUS | 2014-05-25 11:30 |
Tokyo | An Evaluation of a Hybrid Approach to Electrolaryngeal Speech Enhancement Based on Noise Reduction and Statistical Excitation Prediction Kou Tanaka, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura (NAIST) SP2014-32 |
[more] | SP2014-32 pp.331-336 |
|
| SP | 2014-02-28 12:40 |
Tokushima | The University of Tokushima | [Poster Presentation]
Evaluation of the generation of text balloon using the acoustic features Sho Matsumiya, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura (NAIST) SP2013-115 |
Expansion of technology to automatically generate subtitles has advanced due to development of speech recognition techno... [more] | SP2013-115 pp.29-30 |
| SP | 2014-01-23 15:00 |
Aichi | Meijo Univ. | Hearing Impairment Simulation using Audiogram-based Approximation of Auditory Filter and Loudness Compensation Nozomi Jimbo, Shinnosuke Takamichi, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura (NAIST) SP2013-96 |
Hearing impairment simulation producing the hearing of a hearing-impairment person (HI) is expected as an effective way ... [more] | SP2013-96 pp.1-6 |
| SP | 2013-11-21 14:30 |
Nara | Nara Institute of Science and Technology | Evaluation of Excitation Feature Prediction in a Hybrid Approach to Electrolaryngeal Speech Enhancement Kou Tanaka, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura (NAIST) SP2013-72 |
We implement removing micro-prosody with low-pass filtering and avoiding Unvoiced/Voiced (U/V) prediction as part of a h... [more] | SP2013-72 pp.7-12 |
| SP | 2013-11-21 15:30 |
Nara | Nara Institute of Science and Technology | Postfilter Based on Mudulation Spectrum in HMM-Based Speech Synthesis Shinnosuke Takamichi, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura (NAIST) SP2013-74 |
In this paper, we propose a postfilter based on a modulation spectrum for high-quality HMM-based speech synthesis. An ... [more] |
SP2013-74 pp.19-24 |
| SP, JSAI-SLUD (Joint) |
2013-09-19 14:10 |
Chiba | Chiba Univ. | Improvements to Translation Dictionary in a Method for Transforming Individuality of Spoken Language Masahiro Mizukami, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura (NAIST) SP2013-70 |
In text and speech, there are various features that reflect the individuality of the writer or speaker. Reflecting thes... [more] |
SP2013-70 pp.33-38 |
| SP, IPSJ-SLP (Joint) |
2013-07-26 10:30 |
Miyagi | Soho (togatta spa) | Grapheme-to-phoneme Conversion based on Adaptive Regularization of Weight Vectors Keigo Kubo, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura (NAIST) SP2013-57 |
The current state-of-the-art approach in grapheme-to-phoneme (g2p) conversion is structured learning based on the Margin... [more] | SP2013-57 pp.25-30 |
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