A Generalized Bandsplit Neural Network for Cinematic Audio Source Separation

A Generalized Bandsplit Neural Network for Cinematic Audio Source Separation

Cinematic audio source separation is a relatively new subtask of audio source separation, with the aim of extracting the dialogue, music, and effects stems from their mixture. In this work, we developed a model generalizing the Bandsplit RNN for any complete or overcomplete partitions of the frequen...

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Bibliographic Details
Main Authors: Karn N. Watcharasupat, Chih-Wei Wu, Yiwei Ding, Iroro Orife, Aaron J. Hipple, Phillip A. Williams, Scott Kramer, Alexander Lerch, William Wolcott
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of Signal Processing
Subjects:
Cinematic audio
deep learning
psychoacoustical frequency scale
source separation
Online Access:https://ieeexplore.ieee.org/document/10342812/
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https://ieeexplore.ieee.org/document/10342812/

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