4 papers · 1 filter
Text-to-Speech for Unseen Speakers via Low-Complexity Discrete Unit-Based Frame Selection
Ismail Rasim Ulgen, Shreeram Suresh Chandra, Junchen Lu +1
Synthesizing the voices of unseen speakers remains a persisting challenge in multi-speaker text-to-speech (TTS). Existing methods model speaker characteristics through speaker cond…
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…
Style Mixture of Experts for Expressive Text-To-Speech Synthesis
Ahad Jawaid, Shreeram Suresh Chandra, Junchen Lu +1
Recent advances in style transfer text-to-speech (TTS) have improved the expressiveness of synthesized speech. However, encoding stylistic information (e.g., timbre, emotion, and p…
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…