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Upload your starting audio file (or pass in a URL via the API).

With your RVC model now finely-tuned, the final step is to run it using the zsxkib/realistic-voice-cloning model. Step 3: Generate audio with your new voice model

#Realistic change voice male to female online zip file

We recommend setting this to 7Īfter running this, you’ll get a zip file containing your newly trained RVC model. batch_size: The number of data points processed in each step.epoch: The number of complete passes over the training data.f0method: This is the method used to extract speech “ formants”, with rmvpe_gpu as the default.version: Pick an RVC version, v2 is higher quality.sample_rate: The audio sampling rate, usually it’s 48k.dataset_zip: The URL or direct upload of your dataset zip file.You’ll use the replicate/train-rvc-model model to do this. The next step is training the RVC model with your dataset. Take a listen to some of them to check your training data is as expected. Inside the output zip file you’ll find a dataset// folder packed with. audio_name: a unique name for your dataset.youtube_url: a link to the YouTube video containing the voice you’re aiming to clone.To run this model, you’ll need to provide: return a zip file of the samples to use for tuning.isolate the target voice and remove background noise or music.To simplify the process of creating a training dataset, we’ve built a model at zsxkib/create-rvc-dataset that will automatically generate a dataset from a YouTube video URL. You can do this manually by collecting your own speech-based audio files, but it’s time-consuming and error prone. The first step in voice model training is constructing a quality dataset of audio files.

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We’ve also created a Google Colab Notebook that contains all the code you need for this guide. We have official client libraries for JavaScript, Python, and other languages like Go, Swift, and Elixir. You can run all the models in this guide using Replicate’s web interface, or using Replicate’s API with the programming language of your choice. a YouTube video to use as the source of your audio.Run inference: Finally, user the zsxkib/realistic-voice-cloning model to create new speech audio (or even songs) featuring your voice.

Train your voice model: Use the replicate/train-rvc-model model to create a fine-tuned RVC model based on your dataset.Create a training dataset: Use the zsxkib/create-rvc-dataset model to generate a dataset of speech audio files from a YouTube video URL.We’ll create a dataset, tune the model, then make some examples, all using Replicate.

#Realistic change voice male to female online how to

In this blog post we’ll show you how to create your own RVC voice model on whatever voice you want. You can try it out with some pre-trained voices here. Your browser does not support the video tag. Here’s an example of Morgan Freeman as Hannibal Lecter: Realistic Voice Cloning (RVC) is a voice-to-voice model that can transform any input voice into a target voice.