Examining the Mapping Functions of Denoising Autoencoders in Singing Voice Separation
Author:
Affiliation:
1. Semantic Music Technologies Group, Fraunhofer IDMT, Ilmenau, Germany
2. Audio Research Group, Tampere University, Tampere, Finland
3. Technical University of Ilmenau, Germany
Funder
H2020 Marie Sklodowska-Curie Actions
Deutsche Forschungsgemeinschaft
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics
Link
http://xplorestaging.ieee.org/ielx7/6570655/8938144/08892665.pdf?arnumber=8892665
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1. An Improved Optimal Transport Kernel Embedding Method with Gating Mechanism for Singing Voice Separation and Speaker Identification;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04
2. Unsupervised Deep Unfolded Representation Learning for Singing Voice Separation;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2023
3. Voice Quality Evaluation of Singing Art Based on 1DCNN Model;Mathematical Problems in Engineering;2022-07-30
4. The New Approach Research on Singing Voice Detection Algorithm Based on Enhanced Reconstruction Residual Network;Journal of Mathematics;2022-02-23
5. Classification and Separation of Audio and Music Signals;Multimedia Information Retrieval;2021-06-02
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