Title
Progressive Joint Modeling in Unsupervised Single-channel Overlapped Speech Recognition.
Abstract
Unsupervised single-channel overlapped speech recognition is one of the hardest problems in automatic speech recognition (ASR). Permutation invariant training (PIT) is a state of the art model-based approach, which applies a single neural network to solve this single-input, multiple-output modeling problem. We propose to advance the current state of the art by imposing a modular structure on the n...
Year
DOI
Venue
2018
10.1109/TASLP.2017.2765834
IEEE/ACM Transactions on Audio, Speech, and Language Processing
Keywords
DocType
Volume
Speech recognition,Speech,Training,Acoustics,Speech processing,Neural networks
Journal
26
Issue
ISSN
Citations 
1
2329-9290
6
PageRank 
References 
Authors
0.44
28
4
Name
Order
Citations
PageRank
Zhehuai Chen1113.89
Jasha Droppo286168.35
Jinyu Li391572.84
Wayne Xiong4221.86