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Leyuan Qu

3 accepted papers

2024

Improving Speech Emotion Recognition with Unsupervised Speaking Style Transfer

ICASSP 2024accepted

Humans can effortlessly modify various prosodic attributes, such as the placement of stress and the intensity of sentiment, to convey a specific emotion while maintaining consistent linguistic content. Motivated by this capability, we propose EmoAug, a novel style transfer model designed to enhance…

Cited by 0SourceScholar
2024

Multi-Modal Emotion Recognition Using Multiple Acoustic Features and Dual Cross-Modal Transformer

ICASSP 2024accepted

Multi-modal emotion recognition (MER) using speech and text has attracted extensive attention because of the easy availability of data for these two modalities. Recently, the self-surprised learning (SSL) pre-trained model has become the state-of-the-art (SOTA) method for the extraction of acoustic…

Cited by 0SourceScholar
2016

Landmark of Mandarin nasal codas and its application in pronunciation error detection

ICASSP 2016accepted

L2 learners of Mandarin have difficulty learning native-like pronunciation of nasal codas. In order to help them learn native-like pronunciation, we propose to develop targeted classifiers for automatic pronunciation error detection. In this paper, perceptual experiments with modified speech are des…

Cited by 0SourceScholar