Examining the Mapping Functions of Denoising Autoencoders in Singing Voice Separation

Author:

Mimilakis Stylianos Ioannis1ORCID,Drossos Konstantinos2ORCID,Cano Estefania1ORCID,Schuller Gerald3ORCID

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

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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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