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Special Interest Group on Spoken Language Processing (IPSJ-SLP) (Searched in: 2019)
Search Results: Keywords 'from:2019-12-04 to:2019-12-04'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-04 10:25 |
Tokyo | NHK Science & Technology Research Labs. | Attempting News Classification by Media Characteristics Yoshifumi Seki (Gunosy Inc.)  NLC2019-29 |
The purpose of this study is to classify news articles by medium characteristics. In this paper, we compare the vectori... [more] |
NLC2019-29 pp.1-5 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-04 10:50 |
Tokyo | NHK Science & Technology Research Labs. | The Feature Analysis and Automatic Classification on Contracts Text Data Mina Fujii, Yasuhiro Iwaki (GVA TECH), Tsuneaki Kato (The Univ. of Tokyo) NLC2019-30 |
Currently, automation of legal tasks, such as drafting or reviewing contracts, is highly needed because these tasks cos... [more] | NLC2019-30 pp.7-12 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-04 11:15 |
Tokyo | NHK Science & Technology Research Labs. | Shiori Koga (Kyushu Univ.), Tsunenori Mine (kyushu Univ.), Sachio Hirokawa (Kyushu Univ.) NLC2019-31 |
Among RNNs, especially LSTM is capable of long-term memory and can be expected to acquire information including better c... [more] | NLC2019-31 pp.13-18 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-04 14:40 |
Tokyo | NHK Science & Technology Research Labs. | An approach for detecting and recommending travel blogs based on region-restrictedness Yingying Lao, Yilun Wei, Dongli Han (Nihon Univ.) NLC2019-32 |
It is important to extract region-specific travel information from a large number of blogs posted to tourist information... [more] | NLC2019-32 pp.29-34 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-04 15:05 |
Tokyo | NHK Science & Technology Research Labs. | Interpretability of laws related to clinical research with text mining Ayako Ohshiro, Shinichiro Ueda (Univ. of the Ryukyus) NLC2019-33 |
Medical staffs have been required comprehension of laws for clinical research, in addition to ordinary medical care and ... [more] | NLC2019-33 pp.35-40 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-05 11:15 |
Tokyo | NHK Science & Technology Research Labs. | Predicting Connection between Utterances in Multi-Party Conversation Takumi Himeno, Kazutaka Shimada (Kyutech) NLC2019-34 |
Conversations are often held in laboratories and companies. To grasp the content of a discussion, a summary is importan... [more] |
NLC2019-34 pp.81-86 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-05 14:30 |
Tokyo | NHK Science & Technology Research Labs. | [Invited Lecture]
A Brief Report of EMNLP-IJCNLP 2019 Taro Miyazaki (NHK) NLC2019-35 |
(To be available after the conference date) [more] | NLC2019-35 p.117 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-06 09:35 |
Tokyo | NHK Science & Technology Research Labs. | Time-domain convolutional denoising autoencoder for multi-channel speech enhancement Naohiro Tawara, Tetsunori Kobayashi, Tetsuji Ogawa (Waseda Univ.) SP2019-34 |
[more] | SP2019-34 pp.1-6 |
| 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 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-06 13:55 |
Tokyo | NHK Science & Technology Research Labs. | [Poster Presentation]
Assessment of pronunciation proficiency for second language learners using phoneme posterior probabilities of language pairs Rintaro Mori, Akinobu Lee (Nitech) SP2019-36 |
In automatic assessment of pronunciation proficiency for second language learners, phoneme posteriorprobabilities calcu... [more] | SP2019-36 pp.43-48 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-06 13:55 |
Tokyo | NHK Science & Technology Research Labs. | [Poster Presentation]
Effectiveness of sequence-to-sequence acoustic modeling by using automatic generated labels Kiyoshi Kurihara, Nobumasa Seiyama, Tadashi Kumano (NHK) SP2019-37 |
We have proposed a method that uses yomigana (Japanese character readings) and prosodic symbols as input for sequence-to... [more] | SP2019-37 pp.49-54 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-06 13:55 |
Tokyo | NHK Science & Technology Research Labs. | [Poster Presentation]
Synthetic speech-based sound masking for privacy protection when speaking to smartphones in public space Takahiro Tsugui, Shinji Takaki, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) SP2019-38 |
In this paper, we propose a synthetic speech-based sound masking method that protects the privacy when speaking to smart... [more] | SP2019-38 pp.55-60 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-06 13:55 |
Tokyo | NHK Science & Technology Research Labs. | [Poster Presentation]
Analysis and Subjective Labeling for Emotional Speech Database JTES Mai Yamanaka, Takashi Nose, Yuya Chiba, Akinori Ito (Tohoku Univ.) SP2019-39 |
We have constructed JTES, a prosodic balanced emotional speech database containing 50 sentences of 4 emotions of 50 men ... [more] | SP2019-39 pp.61-66 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-06 13:55 |
Tokyo | NHK Science & Technology Research Labs. | [Poster Presentation]
Estimation of three-dimensional tongue shape from midsagittal tongue contour using regression models Tatsuya Kitamura (Konan Univ.), Hisanori Makinae (NRIPS), Masashi Ito (TIT) SP2019-40 |
In this study, we investigated methods to estimate the tongue contours of the outer sagittal planes from a midsagittal t... [more] | SP2019-40 pp.67-72 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-06 13:55 |
Tokyo | NHK Science & Technology Research Labs. | [Poster Presentation]
Time-Varying Complex AR speech analysis based on l2-norm regularization Keiichi Funaki (Univ. of the Ryukyus) SP2019-41 |
Linear prediction (LP) is a mathematical operation estimating an all-pole spectrum from the speech signal. It is an ess... [more] |
SP2019-41 pp.73-77 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-06 16:00 |
Tokyo | NHK Science & Technology Research Labs. | A comparison of neural vocoders in singing voice synthesis Sota Wada, Yukiya Hono, Shinji Takaki, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) SP2019-42 |
In this study, we compare five types of vocoders based on neural networks (neural vocoders) for singing voice synthesis.... [more] | SP2019-42 pp.85-90 |
| 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 |
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