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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLC, SP (Joint) [detail] |
2010-12-20 15:00 |
Tokyo | National Olympics Memorial Youth Center | Evaluation of spotting algorithm constrained by keyword co-occurrence for dialogue systems Aki Kato, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda (Nagoya Inst. of Tech.)  NLC2010-16 SP2010-89 |
Question-answering dialogue system often choose a response sentence based on recognized keywords in a user's utterance. ... [more] | NLC2010-16 SP2010-89 pp.25-30 |
| NLC, SP (Joint) [detail] |
2010-12-21 11:05 |
Tokyo | National Olympics Memorial Youth Center | Evaluation of Successive Rapid Hypothesis Determination Algorithm for Continuous Word Recognition Hiroyuki Ohno (Nagoya Inst. of Tech.), Hiroshi Kojima (Nagoya Inst. of Tech/Hitachi Solutions, Ltd.), Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda (Nagoya Inst. of Tech.) NLC2010-21 SP2010-94 |
Minimizing response delay of speech recognition system and giving rapid feed backs are important properties for an intui... [more] | NLC2010-21 SP2010-94 pp.77-82 |
| PRMU, HIP | 2010-06-25 09:00 |
Aomori | Face recognition based on extended separable lattice HMMs Keisuke Kumaki, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) PRMU2010-46 HIP2010-35 |
In image recognition systems, it needs to deal with geometrical variations of an object, e.g. location, size, rotation a... [more] | PRMU2010-46 HIP2010-35 pp.45-50 |
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| SP, NLC | 2009-12-21 10:10 |
Tokyo | Univ. of Tokyo | Speaker Adaptation Using Nonlinear Spectral Transformation For Speech Recognition. Toyohiro Hayashi, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda (Nagoya Inst. of Tech.) NLC2009-12 SP2009-76 |
This paper proposes a speaker adaptation technique using nonlinear spectral transform based on GMMs. One of the most po... [more] |
NLC2009-12 SP2009-76 pp.1-6 |
| SP, NLC | 2009-12-22 09:55 |
Tokyo | Univ. of Tokyo | Voice activity detection using conditional random fields with multiple features Akira Saito, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda (Nagoya Inst. of Tech.) NLC2009-18 SP2009-82 |
Voice Activity Detection (VAD) which is a technique to distinguish between speech and non-speech is used in noisy enviro... [more] | NLC2009-18 SP2009-82 pp.59-64 |
| SP, NLC | 2009-12-22 11:00 |
Tokyo | Univ. of Tokyo | Sentence generation from keywords using N-gram for Spoken Dialog System Yoshitaka Yoshimi, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda (Nagoya Inst. of Tech.) NLC2009-19 SP2009-83 |
A probabilistic answer selection on spoken dialog system requires a lot of question-and-answer pair as a training data. ... [more] | NLC2009-19 SP2009-83 pp.71-76 |
| SP, NLC | 2009-12-22 15:50 |
Tokyo | Univ. of Tokyo | Factor analysis models representing various voice characteristics for HMM based speech synthesis Kyosuke Kazumi, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) NLC2009-28 SP2009-92 |
This paper describes factor analysis models for realizing various voice characteristics in the HMM-based speech synthe... [more] |
NLC2009-28 SP2009-92 pp.177-182 |
| SP, NLC | 2009-12-22 15:50 |
Tokyo | Univ. of Tokyo | A speech-oriented information kiosk based on user-generated dialog contents Toshinori Fukuta, Yoshitaka Yoshimi, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda (Nagoya Inst. of Tech.) NLC2009-30 SP2009-94 |
On the development of a spoken dialog system, the system developer has to build and customize the contents for the targe... [more] | NLC2009-30 SP2009-94 pp.207-212 |
| PRMU | 2009-03-14 09:30 |
Miyagi | Tohoku Institute of Technology | Face recognition based on separable lattice 2-D HMM with state duration modeling Yoshiaki Takahashi, Akira Tamamori, Yoshihiko Nankaku, Keiichi Tokuda (NIT) PRMU2008-262 |
This paper proposes separable lattice 2-D HMMs with state duration modeling. Separable lattice 2-D HMMs(SL-HMMs) are pr... [more] |
PRMU2008-262 pp.153-158 |
| PRMU | 2009-03-14 10:00 |
Miyagi | Tohoku Institute of Technology | Face recognition based on separable lattice 2-D HMM considering rotational variations Akira Tamamori, Yoshihiko Nankaku, Keiichi Tokuda (NIT) PRMU2008-263 |
In image recognition systems,it needs to deal with geometrical variaions of images such as size, location and rotaion.S... [more] |
PRMU2008-263 pp.159-164 |
| SP | 2009-01-29 14:20 |
Nara | NAIST | Ultra-Rapid Speech Recognition based on Search Termination using Confidence Scoring Hiroshi Kojima, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda (Nagoya Inst. of Tech.) SP2008-128 |
In spite of the recent advances of speech recognition technology, a speech interface does not become a friendly, easy-to... [more] | SP2008-128 pp.13-18 |
| SP, NLC | 2008-12-10 09:55 |
Tokyo | Waseda Univ. | Bayesian Context Clustering Using Cross Validation for HMM-Based Speech Synthesis Kei Hashimoto, Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Institute of Technology) NLC2008-36 SP2008-91 |
This paper proposes a prior distribution determination technique using cross validation for HMM-based speech synthesis b... [more] | NLC2008-36 SP2008-91 pp.73-78 |
| SP, NLC | 2008-12-10 10:20 |
Tokyo | Waseda Univ. | Simultaneous Transformation of Duration and Spectrum Using Statistical Models Including Time-Sequence Matching Kaori Yutani, Yoshihiko Nankaku (Nagoya Institute of Technology), Tomoki Toda (Nara Institute of Science and Technology), Keiichi Tokuda (Nagoya Institute of Technology) NLC2008-37 SP2008-92 |
This paper describes a simultaneous conversion technique of duration and spectrum based on a statistical model including... [more] | NLC2008-37 SP2008-92 pp.79-84 |
| SP, NLC | 2008-12-10 16:10 |
Tokyo | Waseda Univ. | Speaker Recognition Based on Gaussian Mixture Models Using Variational Bayesian Method Tatsuya Ito, Kei Hashimoto, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda (Nitech) NLC2008-55 SP2008-110 |
[more] | NLC2008-55 SP2008-110 pp.185-190 |
| SP, NLC | 2008-12-10 16:10 |
Tokyo | Waseda Univ. | Tying covariance parameters for HMM-based speech synthesis Keiichiro Oura, Heiga Zen, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda (Nagoya Inusitute of Technology) NLC2008-60 SP2008-115 |
In this paper, we proposed a tying covariance technique in hidden Markov model (HMM) basedspeech synthesis system. In r... [more] |
NLC2008-60 SP2008-115 pp.215-220 |
| SP, NLC | 2008-12-10 16:10 |
Tokyo | Waseda Univ. | Speech Recognition Based on Statistical Models Including Multiple Decision Trees Sayaka Shiota, Kei Hashimoto, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda (Nagoya Institute of Technology) NLC2008-61 SP2008-116 |
This paper proposes a speech recoginition technique using multiple decision trees. In the use of context dependent model... [more] | NLC2008-61 SP2008-116 pp.221-226 |
| SP | Toyama | Toyama Prefectural University | Acoustic Modeling Based on Model Structure Annealing for Speech Recognition Sayaka Shiota, Kei Hashimoto, Heiga Zen, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda (Nitech) SP2007-35 |
This paper proposes a joint optimization technique of phonetic decision trees and state sequences for HMM-based speech r... [more] | SP2007-35 pp.67-72 |
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| PRMU | 2006-12-14 10:00 |
Fukui | Face Recognition Based on Hidden Markov Eigenface Model Kouji Higaki, Yoshihiko Nankaku, Keiichi Tokuda (nitech) |
This paper proposes Hidden Markov Eigenface Models (HMEMs) in which the eigenfaces are integrated into separable lattice... [more] | PRMU2006-162 pp.7-12 |
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