Meta Voicebox is a cutting-edge speech generative model developed by Meta. It is based on a non-autoregressive flow-matching model designed to excel in infilling speech by leveraging audio context and text. Voicebox stands out for its ability to outperform single-purpose AI models in various speech tasks through in-context learning. This advanced model can synthesize speech across six languages, eliminate transient noise, facilitate content editing, transfer audio style within and between languages, and produce diverse speech samples rapidly, up to 20 times faster than state-of-the-art auto-regressive models. Overall, Voicebox represents a significant advancement in universal speech generation technology.
Meta Voicebox was created by Meta. The company developed Voicebox, a cutting-edge speech generative model that excels in various speech tasks across six languages. Voicebox is built upon Meta's non-autoregressive flow matching model and can swiftly generate diverse speech samples while outperforming other AI models. The technology enables tasks like speech synthesis, noise removal, content editing, audio style transfer, and more, at speeds up to 20 times faster than traditional models. Unfortunately, specific information about the founder of Meta Voicebox is not provided in the available content.
To use Meta Voicebox effectively, follow these steps:
Model Overview: Voicebox is a non-autoregressive flow-matching model trained to infill speech given audio context and text. It is more flexible than auto-regressive models as it can condition on both past and future context. This model can be utilized for monolingual and cross-lingual zero-shot text-to-speech synthesis, style conversion, transient noise removal, content editing, and diverse sample generation.
Demos: The Voicebox website includes various examples demonstrating editing, sampling, and style transfer with cross-lingual features. Explore these demos to get a better understanding of the tool's capabilities.
Transient Noise Removal: Voicebox offers a feature to remove transient noise from recordings, eliminating the need to re-record speech due to interruptions like doorbells or dog barking. This ensures a smoother and uninterrupted speech recording experience.
By following these steps and exploring the features and capabilities of Meta Voicebox as outlined above, users can harness the power of this tool for text-guided multilingual universal speech generation and manipulation effectively.
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