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Linjuan Zhang

2 accepted papers

2024

CPAUG: Refining Copy-Paste Augmentation for Speech Anti-Spoofing

ICASSP 2024accepted

Conventional copy-paste augmentations generate new training instances by concatenating existing utterances to increase the amount of data for neural network training. However, the direct application of copy-paste augmentation for anti-spoofing is problematic. This paper refines the copy-paste augmen…

Cited by 0SourceScholar
2018

A Feature Fusion Method Based on Extreme Learning Machine for Speech Emotion Recognition

ICASSP 2018accepted

Speech emotion recognition is important to understand users' intention in human-computer interaction. However, it is a challenging task partly because we cannot clearly know which feature and model are effective to distinguish emotions. Previous studies utilize convolutional neural network (CNN) dir…

Cited by 0SourceScholar