Dual-Path Modeling With Memory Embedding Model for Continuous Speech Separation-Reference-Cited by-同舟云学术

Dual-Path Modeling With Memory Embedding Model for Continuous Speech Separation

Published:2022 Issue: Volume:30 Page:1508-1520
ISSN:2329-9290
Container-title:IEEE/ACM Transactions on Audio, Speech, and Language Processing
language:
Short-container-title:IEEE/ACM Trans. Audio Speech Lang. Process.

Author:

Li Chenda¹^ORCID,Chen Zhuo²,Qian Yanmin¹^ORCID

Affiliation:

1. X-Lance Lab, Department of Computer Science and Engineering & MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University, Shanghai, P. R. China

2. Microsoft, Redmond, WA, USA

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Shanghai Municipal Science and Technology Major Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Link

http://xplorestaging.ieee.org/ielx7/6570655/9657755/09751362.pdf?arnumber=9751362

Reference65 articles.

1. Dual-Path RNN for Long Recording Speech Separation

2. Continuous Speech Separation Using Speaker Inventory for Long Recording

3. Separating varying numbers of sources with auxiliary autoencoding loss;luo;Proc Interspeech 2020 21st Annu Conf Int Speech Commun Assoc,0

4. Voice separation with an unknown number of multiple speakers;nachmani;Proc Int Conf Mach Learn Proc Mach Learn Research,0

5. Recursive Speech Separation for Unknown Number of Speakers

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