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In this article, I will show how to clone your own voice. It requires knowledge of Python though but I think some websites already offer a paid subscription that will enable you to clone your own voice.
To create a Python voice cloner program using Real-Time-Voice-Cloning (RTVC), you'll need to install the necessary libraries and follow a step-by-step process. Here's a general outline of the steps involved:
Install dependencies:
- Install Python 3.x (if not already installed)
- Install the required libraries by running the following commands:
pip install tensorflow==1.15
pip install numba==0.48
pip install SoundFile
pip install unidecode
pip install librosa
Clone the Real-Time-Voice-Cloning repository:
git clone https://github.com/CorentinJ/Real-Time-Voice-Cloning.git
Download the pretrained models:
- Download the "pretrained.zip" file from the following link: https://github.com/CorentinJ/Real-Time-Voice-Cloning/releases/tag/v1.1-pretrained
- Extract the contents of the zip file into the cloned repository folder.
Create a Python script for the voice cloner:
Import the necessary modules
import sys
import os
import numpy as np
import librosa
import argparse
from synthesizer.inference import Synthesizer
from encoder import inference as encoder
from vocoder import inference as vocoder
from pathlib import Path
Set up paths to the model files:
encoder_weights = Path("pretrained/encoder/saved_models/pretrained.pt")
vocoder_weights = Path("pretrained/vocoder/saved_models/pretrained/pretrained.pt")
syn_dir = Path("pretrained/synthesizer/saved_models/logs-pretrained/taco_pretrained")
Initialize the models:
encoder.load_model(encoder_weights)
synthesizer = Synthesizer(syn_dir)
vocoder.load_model(vocoder_weights)
Define a function for cloning the voice:
def clone_voice(input_file, output_file):
# Load input audio
audio, sr = librosa.load(input_file, 22050)
# Preprocess audio
wav = encoder.preprocess_wav(audio, sr)
# Extract speaker embeddings
speaker_embed = encoder.embed_utterance(wav)
# Synthesize cloned voice
specs = synthesizer.synthesize_spectrograms([input_text], [speaker_embed])
generated_wav = vocoder.infer_waveform(specs[0])
# Save synthesized audio
librosa.output.write_wav(output_file, generated_wav, synthesize_sample_rate)
Parse command-line arguments:
parser = argparse.ArgumentParser(description="Python Voice Cloner")
parser.add_argument("--input_file", help="Path to input audio file")
parser.add_argument("--output_file", help="Path to output cloned audio file")
args = parser.parse_args()
Clone the voice:
clone_voice(args.input_file, args.output_file)
Run the Python script:
Open a terminal or command prompt and navigate to the cloned repository folder.
Execute the Python script with the appropriate command-line arguments:
python voice_cloner.py --input_file path/to/input.wav --output_file path/to/output.wav
Ensure that you have a suitable input audio file and specify the paths to the input and output files accordingly. The script will generate a cloned version of the input voice in the specified output file.
Please note that Real-Time
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