3 citations · 4 across the 5 of their papers we have counts for
5 papers
GMP-TL: Gender-augmented Multi-scale Pseudo-label Enhanced Transfer Learning for Speech Emotion Recognition
Yu Pan, Yuguang Yang, Heng Lu +2
The continuous evolution of pre-trained speech models has greatly advanced Speech Emotion Recognition (SER). However, current research typically relies on utterance-level emotion l…
PP-MeT: a Real-world Personalized Prompt based Meeting Transcription System
Xiang Lyu, Yuhang Cao, Qing Wang +5
Speaker-attributed automatic speech recognition (SA-ASR) improves the accuracy and applicability of multi-speaker ASR systems in real-world scenarios by assigning speaker labels to…
PromptVC: Flexible Stylistic Voice Conversion in Latent Space Driven by Natural Language Prompts
Jixun Yao, Yuguang Yang, Yi Lei +7
Style voice conversion aims to transform the style of source speech to a desired style according to real-world application demands. However, the current style voice conversion appr…
MSAC: Multiple Speech Attribute Control Method for Reliable Speech Emotion Recognition
Yu Pan, Yuguang Yang, Yuheng Huang +6
Despite notable progress, speech emotion recognition (SER) remains challenging due to the intricate and ambiguous nature of speech emotion, particularly in wild world. While curren…
GEmo-CLAP: Gender-Attribute-Enhanced Contrastive Language-Audio Pretraining for Accurate Speech Emotion Recognition
Yu Pan, Yanni Hu, Yuguang Yang +5
Contrastive cross-modality pretraining has recently exhibited impressive success in diverse fields, whereas there is limited research on their merits in speech emotion recognition…