This is a simplified guide to an AI model called Openvoice maintained by Chenxwh. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Model overview
openvoice is a versatile instant voice cloning model developed by the team at MyShell. Unlike traditional text-to-speech (TTS) models, openvoice can accurately clone the tone color and generate speech in multiple languages and accents. It also enables flexible control over various voice styles, such as emotion and accent, as well as other parameters like rhythm, pauses, and intonation. Notably, openvoice supports zero-shot cross-lingual voice cloning, meaning the language of the generated speech and the reference speech do not need to be present in the training dataset.
openvoice is similar to other voice cloning models like video-retalking, which focuses on audio-based lip synchronization for talking head video generation. It also shares some capabilities with the Whisper and Whisper large-v2 models, which convert speech in audio to text.
Model inputs and outputs
The openvoice model takes three main inputs: an audio reference, input text, and a language selection. The audio reference is used to clone the tone color, while the input text determines the content of the generated speech. The language selection allows for cross-lingual voice cloning.
Inputs
- Audio: The reference audio used to clone the tone color
- Text: The input text that determines the content of the generated speech
- Language: The language of the generated speech
Outputs
- Output audio: The generated speech audio that matches the tone color of the reference audio and the content of the input text
Capabilities
openvoice can accurately clone the r...
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