1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.SD2026
PFluxTTS: Hybrid Flow-Matching TTS with Robust Cross-Lingual Voice Cloning and Inference-Time Model Fusion
Vikentii Pankov, Artem Gribul, Oktai Tatanov +4
We present PFluxTTS, a hybrid text-to-speech system addressing three gaps in flow-matching TTS: the stability-naturalness trade-off, weak cross-lingual voice cloning, and limited a…
cs.SD2023★ 1 cited
DINO-VITS: Data-Efficient Zero-Shot TTS with Self-Supervised Speaker Verification Loss for Noise Robustness
Vikentii Pankov, Valeria Pronina, Alexander Kuzmin +7
We address zero-shot TTS systems' noise-robustness problem by proposing a dual-objective training for the speaker encoder using self-supervised DINO loss. This approach enhances th…