Easily train a good VC model with voice data <= 10 mins!
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Updated
Nov 24, 2024 - Python
Easily train a good VC model with voice data <= 10 mins!
SoftVC VITS Singing Voice Conversion
Python audio and music signal processing library
Real-time audio visualizations (spectrum, spectrogram, etc.)
CNN-based audio segmentation toolkit. Allows to detect speech, music, noise and speaker gender. Has been designed for large scale gender equality studies based on speech time per gender.
Automatic subtitle shifter based on audio
🔉 spafe: Simplified Python Audio Features Extraction
Metadata, scripts and baselines for the MTG-Jamendo dataset
Functions and scripts for analyzing waveforms, primarily audio. This is currently somewhat disorganized and unfinished.
Easily train a good VC model with voice data <= 10 mins!
🔊 Create labeled datasets, enhance audio quality, identify speakers, support diverse dataset types. 🎧👥📊 Advanced audio processing.
Guitar tuner program made with Python, Tkinter and PyAudio.
MoSQITo is a unified and modular development framework of key sound quality metrics favoring reproducible science and efficient shared scripting among engineers, teachers and researchers community.
TensorFlow implementation of "SoundNet".
Package for automatic beat-mixing of music files in Python 🐻🎚
In this project is presented a simple method to train an MLP neural network for audio signals. The trained model can be exported on a Raspberry Pi (2 or superior suggested) to classify audio signal registered with USB microphone
Real-time detection of beats from audio, sending out OSC signals for sound-to-light control 🎵💡
Tensorflow - Very Deep Convolutional Neural Networks For Raw Waveforms - https://arxiv.org/pdf/1610.00087.pdf
Music genre classification model using CRNN
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