VoiceCraft: Advanced Tool for Speech Editing and Text-to-Speech (TTS) Tasks
VoiceCraft is a cutting-edge tool that specializes in zero-shot speech editing and text-to-speech (TTS) tasks. It is specifically designed to handle uncontrolled and diverse data sources such as internet videos, podcasts, and audiobooks. By leveraging token infilling neural codec language models, VoiceCraft delivers top-notch performance in both speech editing and zero-shot TTS. With minimal reference, it can clone or modify unseen voices within seconds.
One of the key features of VoiceCraft is that it provides model weights on HuggingFace, training guidance, and inference demos for speech editing and TTS. Additionally, the tool offers multiple ways to run TTS inference, including with or without Docker. It also provides comprehensive environment setup instructions and supports the training and fine-tuning of models.
Users can train VoiceCraft models by utilizing the provided datasets and manifest files, preparing utterances, transcripts, and phoneme sequences. The codebase is licensed under CC BY-NC-SA 4.0, while model weights are under Coqui Public Model License 1.0.0. The tool acknowledges related projects and individuals, and a citation for VoiceCraft’s paper is provided.
It is important to note that the ethical use of the technology is emphasized in a disclaimer, which prohibits unauthorized speech generation or editing. Overall, VoiceCraft is a sophisticated solution for various speech editing and TTS tasks with high accuracy and efficiency.
Real-World Use Case:
VoiceCraft can be used by audiobook publishers to create audiobooks with a consistent voice across all chapters, even if the voice actor is not available for the whole recording. It can also be used by podcast creators to generate natural-sounding TTS versions of their episodes, making their content more accessible to those with visual impairments. Additionally, VoiceCraft can be utilized by language learning platforms to create personalized audio material for their users.
