ADD https://arxiv.org/abs/2104.03603 #27
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AISHELL-4: An Open Source Dataset for Speech Enhancement, Separation, Recognition and Speaker Diarization in Conference Scenario
wq2012
reviewed
Dec 15, 2022
| @@ -91,6 +91,7 @@ Team in the Inaugural DIHARD Challenge](https://www.isca-speech.org/archive/pdfs | |||
| * [DIVE: End-to-end Speech Diarization via Iterative Speaker Embedding](https://arxiv.org/abs/2105.13802) | |||
| * [DOVER-Lap: A method for combining overlap-aware diarization outputs](https://arxiv.org/abs/2011.01997) | |||
| * [Bayesian HMM clustering of x-vector sequences (VBx) in speaker diarization: Theory, implementation and analysis on standard tasks](https://www.sciencedirect.com/science/article/pii/S0885230821000619) | |||
| * [AISHELL-4: An Open Source Dataset for Speech Enhancement, Separation, Recognition and Speaker Diarization in Conference Scenario](https://arxiv.org/abs/2104.03603), 2021 | |||
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Thanks for the contribution. Since this paper is about data. It is better to add this entry to the Dataset section, instead of here.
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AISHELL-4: An Open Source Dataset for Speech Enhancement, Separation, Recognition and Speaker Diarization in Conference Scenario