LSTM with Scattering Decomposition-Based Feature Extraction for Binaural Sound Source Localization-Reference-Cited by-同舟云学术

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LSTM with Scattering Decomposition-Based Feature Extraction for Binaural Sound Source Localization

Published:2022-06-19 Issue: Volume: Page:
ISSN:
Container-title:2022 20th IEEE Interregional NEWCAS Conference (NEWCAS)
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Author:

Massicotte Philippe¹,Chaoui Hicham¹,Ouameur Messaoud Ahmed²

Affiliation:

1. Carleton University,Department of Electronics,Ottawa,Ontario,Canada

2. Université du Québec à Trois-Rivières,Department of Electrical and Computer Engineering,Trois-Rivières,Qc,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9841660/9841947/09841963.pdf?arnumber=9841963

Reference21 articles.

1. Binaural sound source localization using machine learning with spiking neural networks features extraction;al-abboodi,2019

2. Learning Deep Direct-Path Relative Transfer Function for Binaural Sound Source Localization

3. Multi-Tone Phase Coding of Interaural Time Difference for Sound Source Localization With Spiking Neural Networks

4. A Bio-Inspired Model of Sound Source Localization on Neuromorphic Hardware

5. Binaural Tracking of Multiple Moving Sources

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ConvLSTM-based Sound Source Localization in a manufacturing workplace;Computers & Industrial Engineering;2024-06

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