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Technical Committee on Natural Language Understanding and Models of Communication (NLC) (Searched in: 2021)
Search Results: Keywords 'from:2021-12-01 to:2021-12-01'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLC, IPSJ-NL, SP, IPSJ-SLP [detail] | 2021-12-01 17:00 |
Online | Online | Digital Evolution of Life Gave Birth to Language
-- Law of Digital Language -- Kumon Tokumaru (Writer)  NLC2021-18 SP2021-39 |
The author has been studying human language and intelligence as parallel phenomena of digital evolution of life. However... [more] | NLC2021-18 SP2021-39 pp.1-6 |
| NLC, IPSJ-NL, SP, IPSJ-SLP [detail] | 2021-12-02 11:30 |
Online | Online | Multi-faceted assessment of language learners' ability of perception and production of English speech based on shadowing Takuya Kunihara, Chuanbo Zhu, Daisuke Saito, Nobuaki Minematsu (UTokyo), Noriko Nakanishi (KGU) NLC2021-19 SP2021-40 |
(To be available after the conference date) [more] | NLC2021-19 SP2021-40 pp.7-12 |
| NLC, IPSJ-NL, SP, IPSJ-SLP [detail] | 2021-12-02 14:20 |
Online | Online | End-to-End Speech Recognition System Using Sparse Representation Reiichiro Yasaki, Makoto Ohki (Yamanashi Univ.) NLC2021-20 SP2021-41 |
(To be available after the conference date) [more] | NLC2021-20 SP2021-41 pp.13-16 |
| NLC, IPSJ-NL, SP, IPSJ-SLP [detail] | 2021-12-02 14:50 |
Online | Online | Music Separation by Regularized NMF using CQCC Kohei Miyajima, Makoto Ohki (Yamanashi Univ.) NLC2021-21 SP2021-42 |
In this paper, we propose a supervised music source separation method using acoustic features for music composed of mult... [more] | NLC2021-21 SP2021-42 pp.17-21 |
| NLC, IPSJ-NL, SP, IPSJ-SLP [detail] | 2021-12-02 15:20 |
Online | Online | improvement of multilingual speech emotion recognition by normalizing features using CRNN Jinhai Qi, Motoyuki Suzuki (OIT) NLC2021-22 SP2021-43 |
In this research, a new multilingual emotion recognition method by normalizing features using CRNN has been proposed. We... [more] | NLC2021-22 SP2021-43 pp.22-26 |
| NLC, IPSJ-NL, SP, IPSJ-SLP [detail] | 2021-12-02 15:50 |
Online | Online | Simultaneous measurement of linear, non-linear, random responses of pitch extrctors to frequency modulated voiced sounds
-- application of extended time-stretched-pulse sequence with orthogonalization -- Hideki Kawahara (Wakayama Univ.), Ken-Ichi Sakakibara (Health Science Univ. okkaido), Kohei Yatabe (Waseda Univ.), Tatsuya Kitamura (Konan Univ.), Hideki Banno (Meijo Univ.), Masanori Morise (Meiji Univ.) NLC2021-23 SP2021-44 |
We measured the linear time invariant, the non-linear time invariant, and random and time varying responses, of pitch ex... [more] | NLC2021-23 SP2021-44 pp.27-32 |
| NLC, IPSJ-NL, SP, IPSJ-SLP [detail] | 2021-12-02 17:40 |
Online | Online | Adding span loss to BERT for opinion target extraction Takeshi S. Kobayakawa (NHK) NLC2021-24 SP2021-45 |
[more] | NLC2021-24 SP2021-45 pp.33-38 |
| NLC, IPSJ-NL, SP, IPSJ-SLP [detail] | 2021-12-03 10:30 |
Online | Online | An approach to voice conversion for manipulating emotion dimensions Keita Mukada, Hiroki Mori (Utsunomiya Univ.) NLC2021-25 SP2021-46 |
We propose an emotional voice conversion method based on the emotion dimensions. Conventional emotional voice conversion... [more] | NLC2021-25 SP2021-46 pp.39-41 |
| NLC, IPSJ-NL, SP, IPSJ-SLP [detail] | 2021-12-03 11:00 |
Online | Online | Multi-speaker Audiobook Speech Synthesis using Discrete Character Acting Styles Acquired by VQVAE Wataru Nakata, Tomoki Koriyama, Shinnosuke Takamichi, Yuki Saito (UT), Yusuke Ijima, Ryo Masumura (NTT), Hiroshi Saruwatari (UT) NLC2021-26 SP2021-47 |
In this paper, we propose a method of extracting discrete character acting styles using vector quantized variational aut... [more] | NLC2021-26 SP2021-47 pp.42-47 |
| NLC, IPSJ-NL, SP, IPSJ-SLP [detail] | 2021-12-03 16:10 |
Online | Online | Label smoothing with co-occurrences information for multi-label classification Yuki Yasuda, Taichi Ishiwatari, Taro Miyazaki, Jun Goto (NHK) NLC2021-27 SP2021-48 |
Imbalanced learning is one of the big issues in multi-label classification task. Training models using such imbalanced d... [more] | NLC2021-27 SP2021-48 pp.48-53 |
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