4 papers
Adaptive Oscillatory Inductive Bias for Modeling Sharp Prosodic Dynamics in Diffusion-Based TTS
Sandipan Dhar, Nirmesh J. Shah, Ashishkumar P. Gudmalwar +1
Diffusion-based text-to-speech (TTS) models have achieved significant improvements in speech quality. However, modeling sharp prosodic transitions and rapid pitch variations in exp…
LAPS-Diff: A Diffusion-Based Framework for Singing Voice Synthesis With Language Aware Prosody-Style Guided Learning
Sandipan Dhar, Mayank Gupta, Preeti Rao
The field of Singing Voice Synthesis (SVS) has seen significant advancements in recent years due to the rapid progress of diffusion-based approaches. However, capturing vocal style…
Generative Adversarial Network based Voice Conversion: Techniques, Challenges, and Recent Advancements
Sandipan Dhar, Nanda Dulal Jana, Swagatam Das
Voice conversion (VC) stands as a crucial research area in speech synthesis, enabling the transformation of a speaker's vocal characteristics to resemble another while preserving t…
Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion
Sandipan Dhar, Md. Tousin Akhter, Nanda Dulal Jana +1
After demonstrating significant success in image synthesis, Generative Adversarial Network (GAN) models have likewise made significant progress in the field of speech synthesis, le…