4 papers
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…
Automatic Heteronym Resolution Pipeline Using RAD-TTS Aligners
Jocelyn Huang, Evelina Bakhturina, Oktai Tatanov
Grapheme-to-phoneme (G2P) transduction is part of the standard text-to-speech (TTS) pipeline. However, G2P conversion is difficult for languages that contain heteronyms -- words th…
Mixer-TTS: non-autoregressive, fast and compact text-to-speech model conditioned on language model embeddings
Oktai Tatanov, Stanislav Beliaev, Boris Ginsburg
This paper describes Mixer-TTS, a non-autoregressive model for mel-spectrogram generation. The model is based on the MLP-Mixer architecture adapted for speech synthesis. The basic…
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
Daniil Polykovskiy, Alexander Zhebrak, Benjamin Sanchez-Lengeling +13
Generative models are becoming a tool of choice for exploring the molecular space. These models learn on a large training dataset and produce novel molecular structures with simila…