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Can AI-powered text-to-speech systems be trained to mimic a specific person's voice using custom voice cloning, and if so, what are the implications for voice assistants and audiobooks?
AI-powered text-to-speech systems can be trained to mimic a specific person's voice using custom voice cloning, allowing for bespoke voices for text-to-speech applications.
Resemble AI's voice cloning technology can replicate voices from a small audio sample, allowing for the creation of fully customized voices for text-to-speech applications.
Custom voice cloning can be particularly useful for applications that require a consistent brand voice or specific tone, such as chatbots, voice assistants, or audiobooks.
Voice cloning technology can be used to create voices for various languages and dialects, making it a promising solution for multilingual applications.
The ability to clone a specific voice can be helpful in industries such as entertainment or education, where voice consistency is crucial.
Bark AI's text-to-speech system uses GPT-style models to generate audio from scratch, allowing it to generalize to arbitrary instructions beyond speech.
Bark AI's system can generate audio from text, including music lyrics, sound effects, or other non-speech audio, in addition to spoken language.
The initial text prompt is embedded into high-level semantic tokens without the use of phonemes, allowing Bark AI's system to generalize to arbitrary instructions beyond speech.
Bark AI's system supports 100 speaker presets across supported languages, with a library of supported voice presets available for use.
To create a voice clone, a small audio sample of less than 7 seconds is required, with limited testing showing better results with shorter samples.
Bark AI's system does not currently support custom voice cloning, but the community often shares custom presets in Discord.
AudioLM, the model used in Bark AI, is essentially three GPTs stacked on top of each other, generating audio tokens from a prompt of semantic tokens.
The first GPT in AudioLM takes a prompt of semantic tokens, which encode the content of new audio and a bit of the speaker identity, to generate audio.
Resemble AI's Rapid API enables integrating text-to-speech functionality into applications, allowing for customizable speech synthesis.
Google Cloud Text-to-Speech and Amazon Polly also offer customizable voices for text-to-speech synthesis, but primarily rely on pre-built voices rather than custom voice cloning.
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