128 citations · 382 across the 72 of their papers we have counts for
3 papers · 1 filter
EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast
Shreeram Suresh Chandra, Lucas Goncalves, Junchen Lu +2
Current emotion-based contrastive language-audio pretraining (CLAP) methods typically learn by naïvely aligning audio samples with corresponding text prompts. Consequently, this ap…
Versatile audio-visual learning for emotion recognition
Lucas Goncalves, Seong-Gyun Leem, Wei-Cheng Lin +2
Most current audio-visual emotion recognition models lack the flexibility needed for deployment in practical applications. We envision a multimodal system that works even when only…
GraphSpeech: Syntax-Aware Graph Attention Network For Neural Speech Synthesis
Rui Liu, Berrak Sisman, Haizhou Li
Attention-based end-to-end text-to-speech synthesis (TTS) is superior to conventional statistical methods in many ways. Transformer-based TTS is one of such successful implementati…