Audio Source Separation and Voice Conversion, an Application in Music Industry-Reference-Cited by-同舟云学术

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Audio Source Separation and Voice Conversion, an Application in Music Industry

Published:2023-01-09 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Emerging Trends in Engineering, Sciences and Technology (ICES&T)
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Author:

Yar Ghulam Nabi Ahmad Hassan¹,Maqbool Anam²,Noor-Ul-Hassan Abu-Bakar³,Afzal Zeshan⁴

Affiliation:

1. Maanz-AI (Pvt) Limited,AI Developer,Islamabad,Pakistan

2. Air University,Department of Mechatronics and Biomedical Engineering,Islamabad,Pakistan

3. Nakisa Inc.,Software Developer,Islamabad,Pakistan

4. The Islamia University,Department of Software Engineering,Bahawalpur,Pakistan

Funder

Air University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10138803/10138804/10138851.pdf?arnumber=10138851

Reference29 articles.

1. Wave-u-net: A multi-scale neural network for end-to-end audio source separation;stoller,2018

2. Mmdenselstm: An efficient combination of convolutional and recurrent neural networks for audio source separation;takahashi;2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC) IEEE,2018

3. Open-Unmix - A Reference Implementation for Music Source Separation

4. Music source separation in the waveform domain;défossez,2019

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