Enhancing direct‐path relative transfer function using deep neural network for robust sound source localization-Reference-Cited by-同舟云学术

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Enhancing direct‐path relative transfer function using deep neural network for robust sound source localization

Published:2021-04-14 Issue: Volume: Page:
ISSN:2468-2322
Container-title:CAAI Transactions on Intelligence Technology
language:en
Short-container-title:CAAI trans. intell. technol.

Author:

Yang Bing¹²^ORCID,Ding Runwei¹,Ban Yutong³⁴,Li Xiaofei²,Liu Hong¹

Affiliation:

1. Key Laboratory of Machine Perception Shenzhen Graduate School Peking University Beijing China

2. Westlake University & Westlake Institute for Advanced Study Hangzhou China

3. SAIIL Massachusetts General Hospital Boston Massachusetts USA

4. CSAIL Massachusetts Institute of Technology (MIT) Cambridge Massachusetts USA

Publisher

Institution of Engineering and Technology (IET)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Vision and Pattern Recognition,Human-Computer Interaction,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cit2.12024

Reference23 articles.

1. Talmon R. Cohen I. Gannot S.:Supervised source localization using diffusion kernels. In:IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) pp.245–248.(2011)

2. Vecchiotti P.et al.:End‐to‐end binaural sound localisation from the raw waveform. In:IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP) pp.451–455. (2019)

3. Multi-Speaker DOA Estimation Using Deep Convolutional Networks Trained With Noise Signals

4. Robust Source Counting and DOA Estimation Using Spatial Pseudo-Spectrum and Convolutional Neural Network

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