Parallel Local and Global Context Modeling of Deep Learning-Based Monaural Speech Source Separation Techniques

Parallel Local and Global Context Modeling of Deep Learning-Based Monaural Speech Source Separation Techniques

The novel deep learning-based time domain single channel speech source separation methods have shown remarkable progress. Recent studies achieve either successful global or local context modeling for monaural speaker separation. Existing CNN-based methods perform local context modeling, and RNN-base...

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Bibliographic Details
Main Authors: Swati Soni, Lalita Gupta, Rishav Dubey
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Deep-learning
model parallelism
speaker separation
time domain
Online Access:https://ieeexplore.ieee.org/document/10969763/
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https://ieeexplore.ieee.org/document/10969763/

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