16 citations · 18 across the 11 of their papers we have counts for
4 papers · 1 filter
Towards Naturalistic Voice Conversion: NaturalVoices Dataset with an Automatic Processing Pipeline
Ali N. Salman, Zongyang Du, Shreeram Suresh Chandra +3
Voice conversion (VC) research traditionally depends on scripted or acted speech, which lacks the natural spontaneity of real-life conversations. While natural speech data is limit…
Exploring speech style spaces with language models: Emotional TTS without emotion labels
Shreeram Suresh Chandra, Zongyang Du, Berrak Sisman
Many frameworks for emotional text-to-speech (E-TTS) rely on human-annotated emotion labels that are often inaccurate and difficult to obtain. Learning emotional prosody implicitly…
Converting Anyone's Voice: End-to-End Expressive Voice Conversion with a Conditional Diffusion Model
Zongyang Du, Junchen Lu, Kun Zhou +2
Expressive voice conversion (VC) conducts speaker identity conversion for emotional speakers by jointly converting speaker identity and emotional style. Emotional style modeling fo…
Revealing Emotional Clusters in Speaker Embeddings: A Contrastive Learning Strategy for Speech Emotion Recognition
Ismail Rasim Ulgen, Zongyang Du, Carlos Busso +1
Speaker embeddings carry valuable emotion-related information, which makes them a promising resource for enhancing speech emotion recognition (SER), especially with limited labeled…