@inproceedings{3fd02113d57d442abe49a5b8bec4dc3d,
title = "Multi-Resolution Singing Voice Separation",
abstract = "It has been shown that time-domain neural networks achieve higher performance than networks working on the short-time Fourier transform (STFT) domain. The fully-convolutional time-domain audio separation network (Conv-TasNet) is an end-to-end separation model with outstanding performance. However, the fixed convolution kernel length in Conv-TasNet implies that it analyzes signals using the frequency resolution constrained by the kernel length. This paper proposes a multi-frequency-resolution (MF) architecture, which analyzes sig-nals using more frequency resolutions, and compares the MF model with Conv-TasNet on singing voice separation. The results show that the MF architecture improves performance of Conv-TasNet. In addition, we also demonstrate the MF architecture does not provide consistent benefits to the STFT-domain separation model.",
keywords = "Convolution neural network, end-to-end learning, multi-resolution, singing voice separation",
author = "Shen, {Yih Liang} and Lai, {Ya Ching} and Chi, {Tai Shih}",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 27th Conference on the Oriental COCOSDA International Committee for the Co-Ordination and Standardisation of Speech Databases and Assessment Techniques, O-COCOSDA 2024 ; Conference date: 17-10-2024 Through 19-10-2024",
year = "2024",
doi = "10.1109/O-COCOSDA64382.2024.10800481",
language = "English",
series = "2024 27th Conference on the Oriental COCOSDA International Committee for the Co-Ordination and Standardisation of Speech Databases and Assessment Techniques, O-COCOSDA 2024 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Ming-Hsiang Su and Jui-Feng Yeh and Yuan-Fu Liao and Chi-Chun Lee and Yu Taso",
booktitle = "2024 27th Conference on the Oriental COCOSDA International Committee for the Co-Ordination and Standardisation of Speech Databases and Assessment Techniques, O-COCOSDA 2024 - Proceedings",
address = "美國",
}