Environmental Sound Extraction Using Onomatopoeic Words-Reference-Cited by-同舟云学术

Environmental Sound Extraction Using Onomatopoeic Words

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Okamoto Yuki¹,Horiguchi Shota²,Yamamoto Masaaki²,Imoto Keisuke³,Kawaguchi Yohei²

Affiliation:

1. Ritsumeikan University,Japan

2. Hitachi, Ltd.,Japan

3. Doshisha University,Japan

Funder

Hitachi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9745891/9746004/09747835.pdf?arnumber=9747835

Reference24 articles.

1. Conditioned-U-Net: Introducing a control control mechanism in the U-Net for multiple source separations;brocal;Proc International Society for Music Information Retrieval (ISMIR),2019

2. Environmental sound segmentation utilizing Mask U-Net

3. Singing voice separation with deep U-Net convolutional networks;jansson;Proc International Society for Music Information Retrieval (ISMIR),2017

4. Source Separation with Weakly Labelled Data: an Approach to Computational Auditory Scene Analysis

5. Listen to What You Want: Neural Network-Based Universal Sound Selector

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4. SoundBeam: Target Sound Extraction Conditioned on Sound-Class Labels and Enrollment Clues for Increased Performance and Continuous Learning;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2023