Don’t Separate, Learn To Remix: End-To-End Neural Remixing With Joint Optimization
Author:
Affiliation:
1. Indiana University,Luddy School of Informatics, Computing, and Engineering,Bloomington,IN,USA
2. Adobe Research,San Francisco,CA,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746077.pdf?arnumber=9746077
Reference29 articles.
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3. Bootstrapping deep music separation from primitive auditory grouping principles;seetharaman;Workshop on Self-supervision in Audio and Speech at International Conference on Machine Learning,2019
4. Deep clustering: Discriminative embeddings for segmentation and separation
5. Wave-U-Net: A multi-scale neural network for end-to-end audio source separation;stoller;Proc of the International Society for Music Information Retrieval Conference (ISMIR),2018
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