Audio Source Count Estimation using Deep Learning-Reference-Cited by-同舟云学术

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Audio Source Count Estimation using Deep Learning

Published:2022-08-26 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Signal and Information Processing (IConSIP)
language:
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Author:

Mahajan Shrinivas¹,Mali Swapnil¹,Mulla Majeed²,Goski Vyankatesh³,Vyas Gaurav⁴

Affiliation:

1. College of Engineering, Pune,Department of Electronics and Telecommunication,Pune,India

2. Mastercard Technology Private Limited,Department of Product and Engineering,Pune,India

3. Bajaj Finserv Limited,Department of Portals and Mobility,Pune,India

4. Veritas Technologies LLC,Department of Storage and SDS Engineering,Pune,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10007073/10007433/10007480.pdf?arnumber=10007480

Reference17 articles.

1. CRNN-Based Multiple DoA Estimation Using Acoustic Intensity Features for Ambisonics Recordings

2. Robust localization and tracking of simultaneous moving sound sources using beamforming and particle filtering

3. Online Localization and Tracking of Multiple Moving Speakers in Reverberant Environments

4. Acoustic Source Localization and Tracking of a Time-Varying Number of Speakers

5. Blind Speech Separation

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