MyShell and MIT‘s researchers have introduced OpenVoice—A versatile model that instantly replicate the voice in multiple languages. OpenVoice is able to clone voices with little data by the combination of the universal speech model with an input provided by the user.
MyShell’s OpenVoice
OpenVoice utilizes advanced neural network architectures and techniques which helps to generalize voice characteristics across languages. Through this technique the model can learn and adapt to a new language without a massive dataset.
The merger of Instant Voice Cloning (IVC) with Text-to-Speech (TTS) showed an outstanding advancement in voice replication technology. It clone the voice in numerous languages, keeping other aspects intact such as accent, rhythm, emotion, pauses, intonation, and more. The wide range of customization in the field of audio makes the model more innovative and flexible.
OpenVoice performs the task of voice cloning with the significantly reduced computational cost and requirements which makes this technology more affordable and accessible to the end users.
Some unique features of this model are; Accurate Tone Color Cloning, Flexible Voice Style Control and Zero-shot Cross-lingual Voice Cloning. It has such an advanced feature that it helps the user to have a full control over numerous voice styles. It has the ability to maintain tone color, which is the quality of the person’s voice. The model allows the flexible and independent manipulation of style instead of directly copying the voice style.
The developers has also provided the demo on the sites of MyShell and HuggingFace for the users to try it. There research is explained in detail at Arxiv. We at MLNews also reviewed this outstanding model.
Reference
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