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Technical Committee on Speech (SP) (Searched in: 2015)
Search Results: Keywords 'from:2015-08-21 to:2015-08-21'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SP | 2015-08-21 10:00 |
Iwate | Iwate Prefectural Univ. | Latent Words Recurrent Neural Network Language Models for Automatic Speech Recognition Ryo Masumura, Taichi Asami, Takanobu Oba, Hirokazu Masataki, Sumitaka Sakauchi (NTT), Akinori Ito (Tohoku Universicty)  SP2015-50 |
This paper proposes a novel language modeling approach called latent word recurrent neural network language model, which... [more] | SP2015-50 pp.1-6 |
| SP | 2015-08-21 10:25 |
Iwate | Iwate Prefectural Univ. | Automatic generation of abbreviated named entities for localized speech recognition Kenta Shiga, Takashi Nose, Akinori Ito (Tohoku Univ.) SP2015-51 |
[more] | SP2015-51 pp.7-12 |
| SP | 2015-08-21 10:50 |
Iwate | Iwate Prefectural Univ. | Evaluation of speaker engagement using turn-taking behavior entropy Bohan Chen (Nagoya Univ.), Norihide Kitaoka (Tokushima Univ.), Mihoko Otake (Chiba Univ.), Kazuya Takeda (Nagoya Univ.) SP2015-52 |
We introduce a framework to evaluate conversational engagement using entropy of statistical turn-taking model. We demons... [more] | SP2015-52 pp.13-17 |
| SP | 2015-08-21 12:20 |
Iwate | Iwate Prefectural Univ. | [Invited Talk]
Taciturn search, loquacious search Hideo Joho (Univ. Tsukuba) SP2015-53 |
This talk refers to conventional text-based Information Retrieval (IR) as Taciturn Search, and to IR that considers spee... [more] | SP2015-53 p.19 |
| SP | 2015-08-21 13:20 |
Iwate | Iwate Prefectural Univ. | [Invited Talk]
Introduction of Techniques and Evaluation Framework on Information Retrieval for Spoken Documents Hiromitsu Nishizaki (Univ. Yamanashi), Tomoyoshi Akiba (Toyohashi Univ. Tech.) SP2015-54 |
Spoken document retrieval (SDR), one of research topic on spoken language technologies, is a search technology for speec... [more] | SP2015-54 pp.21-26 |
| SP | 2015-08-21 14:40 |
Iwate | Iwate Prefectural Univ. | Related Spoken Document Retrieval by Current Subtopic Noboru Kanedera, Tadayoshi Nagata (NIT Ishikawa) SP2015-55 |
Along with multimedia information including the speech information having increased, spoken document retrieval has attra... [more] | SP2015-55 pp.27-31 |
| 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 |
| SP | 2015-08-21 15:50 |
Iwate | Iwate Prefectural Univ. | Performance Evaluation of Large-Scale Training Sentence Set Construction Based on Entropy in Statistical Speech Synthesis Takashi Nose (Tohoku Univ.), Yusuke Arao (DNP), Takao Kobayashi (Tokyo Tech), Komei Sugiura, Yoshinori Shiga (NICT) SP2015-57 |
This paper reports the evaluation results of training sentence set construction based on entropy that we previously prop... [more] | SP2015-57 pp.39-44 |
| SP | 2015-08-21 16:15 |
Iwate | Iwate Prefectural Univ. | Training Data Selection for Acoustic Modeling Based on Submodular Optimization of Joint KL Divergence Taichi Asami, Ryo Masumura, Hirokazu Masataki, Manabu Okamoto, Sumitaka Sakauchi (NTT) SP2015-58 |
This paper provides a novel training data selection method to construct acoustic models for automatic speech recogniti... [more] |
SP2015-58 pp.45-50 |
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