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Yizhou Peng

2 accepted papers

2022

Minimum Word Error Training For Non-Autoregressive Transformer-Based Code-Switching ASR

ICASSP 2022accepted

Non-autoregressive end-to-end ASR framework might be potentially appropriate for code-switching recognition task thanks to its inherent property that present output token being independent of historical ones. However, it still under-performs the state-of-the-art autoregressive ASR frameworks. In thi…

Cited by 0Source ↗Scholar ↗
2022

Mining Hard Samples Locally And Globally For Improved Speech Separation

ICASSP 2022accepted

Speech separation dataset typically consists of hard and non-hard samples, and the former is minority and latter majority. The data imbalance problem biases the model towards non-hard samples and weakens the generalization capability. Given that the average separation performance is sufficiently goo…

Cited by 0Source ↗Scholar ↗