Hybrid Convolutional Neural Network-Transformer Model for End-to-End Binaural Sound Source Localization in Reverberant Environments

Hybrid Convolutional Neural Network-Transformer Model for End-to-End Binaural Sound Source Localization in Reverberant Environments

The end-to-end binaural sound source localization model can implicitly extract features from the original signal waveforms and take full advantage of neural networks. In this study, we propose a new deep learning-based end-to-end binaural sound source localization model called WavLocT, which employs...

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Bibliographic Details
Main Authors: Xinyi Chen, Lijia Zhao, Jie Cui, Hua Li, Xiaodong Wang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Binaural sound source localization
deep learning
auditory system
transformer
Online Access:https://ieeexplore.ieee.org/document/10902008/
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https://ieeexplore.ieee.org/document/10902008/

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