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Notebooks and importable scripts for loading pre-trained speech models and generating speech from text.
Distinct from Pre-trained Speech Models: Distinct from Pre-trained Speech Models: focuses on the inference workflow (loading and running) rather than the model architectures themselves.
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StyleTTS2 is an adversarial text-to-speech model that uses style diffusion and large speech language models to generate natural-sounding speech from text input. It combines adversarial training with large pre-trained speech models to improve speech quality and reduce artifacts, while employing a style diffusion process that extracts prosodic and timbral features from reference audio to guide speech generation. The model supports multi-speaker voice synthesis by conditioning the diffusion process on speaker-specific embeddings derived from reference utterances, enabling voice cloning and adapt
Provides notebooks and scripts to load pre-trained speech models and generate speech from text.