Subrata Biswas

DriftTTS: Few-Step Text-to-Speech Without Distillation via Distribution-Matching Drift

Few-step neural text-to-speech models often rely on short- ened diffusion or flow-matching schedules, or on distillation from pretrained multi-step teachers. To avoid these depen- dencies, we present DriftTTS, a few-step mel-spectrogram generator trained without a generative teacher, distillation, or adversarial discri...