Showing 4 open source projects for "no-code-app-builders"

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  • 1
    OpenVoice

    OpenVoice

    Instant voice cloning by MIT and MyShell. Audio foundation model

    ...Architecturally, OpenVoice separates “tone color” cloning from style control, which makes it easier to keep a consistent identity while flexibly changing prosody or language. The project provides open-weight models, inference code, and examples, making it suitable both for research and for building production voice experiences. It is actively developed by MyShell, which also integrates OpenVoice into broader agent and entertainment workflows.
    Downloads: 16 This Week
    Last Update:
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  • 2
    lora-svc

    lora-svc

    Singing voice change based on whisper, lora for singing voice clone

    singing voice change based on whisper, and lora for singing voice clone. You will feel the beauty of the code from this project. Uni-SVC main branch is for singing voice clone based on whisper with speaker encoder and speaker adapter. Uni-SVC main target is to develop lora for SVC. With lora, maybe clone a singer just need 10 stence after 10 minutes train. Each singer is a plug-in of the base model.
    Downloads: 0 This Week
    Last Update:
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  • 3
    Voice Cloning App

    Voice Cloning App

    A Python/Pytorch app for easily synthesising human voices

    A Python/Pytorch app for easily synthesizing human voices. If you are using a language other than English you can add it to the app. Firstly, you'll need to find a deep speech model for your language by going to coqui. You'll then need to download the model.pbmm and alphabet.txt files for your language. Requires Windows 10 or Ubuntu 20.04+ operating system, 5GB+ Disk space, and NVIDIA GPU with at least 4GB of memory & driver version 456.38+ (optional).
    Downloads: 1 This Week
    Last Update:
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  • 4
    Multilingual Speech Synthesis

    Multilingual Speech Synthesis

    An implementation of Tacotron 2 that supports multilingual experiments

    This repository provides synthesized samples, training and evaluation data, source code, and parameters for the paper One Model, Many Languages: Meta-learning for Multilingual Text-to-Speech. It contains an implementation of Tacotron 2 that supports multilingual experiments and that implements different approaches to encoder parameter sharing. It presents a model combining ideas from Learning to speak fluently in a foreign language: Multilingual speech synthesis and cross-language voice cloning, End-to-End Code-Switched TTS with Mix of Monolingual Recordings, and Contextual Parameter Generation for Universal Neural Machine Translation. ...
    Downloads: 0 This Week
    Last Update:
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