Title | ||
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Progressive Joint Modeling in Unsupervised Single-channel Overlapped Speech Recognition. |
Abstract | ||
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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 |
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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 Chen | 1 | 11 | 3.89 |
Jasha Droppo | 2 | 861 | 68.35 |
Jinyu Li | 3 | 915 | 72.84 |
Wayne Xiong | 4 | 22 | 1.86 |