dataspeech
Data-Speech provides efficient scripts for speech dataset annotation, emphasizing audio transformation and automated tagging essential for next-gen text-to-speech models. This toolset aids in crafting natural language labeled datasets, inspired by significant research on speech synthesis. It works seamlessly with renowned datasets like LibriTTS-R and MLS and integrates with the Parler-TTS library for both inference and training. Discover streamlined processes for annotating and generating detailed language prompts from speech data.
