Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Tsubaki, Shunsuke"'
Autor:
Niizumi, Daisuke, Takeuchi, Daiki, Ohishi, Yasunori, Harada, Noboru, Yasuda, Masahiro, Tsubaki, Shunsuke, Imoto, Keisuke
Contrastive language-audio pre-training (CLAP) enables zero-shot (ZS) inference of audio and exhibits promising performance in several classification tasks. However, conventional audio representations are still crucial for many tasks where ZS is not
Externí odkaz:
http://arxiv.org/abs/2406.02032
Autor:
Tsubaki, Shunsuke, Niizumi, Daisuke, Takeuchi, Daiki, Ohishi, Yasunori, Harada, Noboru, Imoto, Keisuke
The aim of this research is to refine knowledge transfer on audio-image temporal agreement for audio-text cross retrieval. To address the limited availability of paired non-speech audio-text data, learning methods for transferring the knowledge acqui
Externí odkaz:
http://arxiv.org/abs/2403.10756
Considering that acoustic scenes and sound events are closely related to each other, in some previous papers, a joint analysis of acoustic scenes and sound events utilizing multitask learning (MTL)-based neural networks was proposed. In conventional
Externí odkaz:
http://arxiv.org/abs/2207.04357
Acoustic scene classification (ASC) and sound event detection (SED) are fundamental tasks in environmental sound analysis, and many methods based on deep learning have been proposed. Considering that information on acoustic scenes and sound events he
Externí odkaz:
http://arxiv.org/abs/2204.02279
Autor:
Hattori, Yohei1 (AUTHOR) hattori@rins.ryukoku.ac.jp, Tsubaki, Shunsuke1 (AUTHOR), Matsuoka, Ryota2 (AUTHOR), Kusamoto, Tetsuro2 (AUTHOR), Nishihara, Hiroshi3 (AUTHOR), Uchida, Kingo1 (AUTHOR) uchida@rins.ryukoku.ac.jp
Publikováno v:
Chemistry - An Asian Journal. Sep2021, Vol. 16 Issue 17, p2538-2544. 7p.
