State-of-the-Art Analysis of Deep Learning-Based Monaural Speech Source Separation Techniques

State-of-the-Art Analysis of Deep Learning-Based Monaural Speech Source Separation Techniques

The monaural speech source separation problem is an important application in the signal processing field. But recent interaction of deep learning algorithms with signal processing achieves remarkable performance improvement for speech source separation problems. This paper explores the numerous stat...

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Bibliographic Details
Main Authors: Swati Soni, Ram Narayan Yadav, Lalita Gupta
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Deep-clustering
deep learning
monaural speech source separation
permutation invariant training
time domain speaker separation
Online Access:https://ieeexplore.ieee.org/document/10011434/

Internet

https://ieeexplore.ieee.org/document/10011434/

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