C++ library for audio and music analysis, description and synthesis, including Python bindings

A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.

Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.

Algorithms for sound filters, like reverb, dynamic range compression, lowpass, highpass, notch, etc

🎤 Cross platform C++11 library for decoding audio (mp3, wav, ogg, opus, flac, etc)

High-quality pro audio resampler / sample rate converter C++ library. Very fast, for both audio resampling and time-series interpolation.

Soundscape analysis with BirdNET.

Encode an image to sound and view it as a spectrogram - turn your images into music

🎵 A program that lets you listen to the music from popular video game formats. 🎵

Removing background noise in a sound file

Turn an image into sound whose spectrogram looks like the image.

Experimental code: sound file preprocessing to optimize Whisper transcriptions without hallucinated texts

The Advanced Linux Sound Architecture (ALSA) - tinycompress

📣 Python library for audio augmentation

Sound Classification using Librosa, ffmpeg, CNN, Keras, XGBOOST, Random Forest.

Urban sound source tagging from an aggregation of four second noisy audio clips via 1D and 2D CNN (Xception)

Sound Classification using Neural Networks

The server to emulate old warm AM radio sound on Raspberry Pi

A video analysis tool built completely in python.

A repo designed to convert audio-based "weak" labels to "strong" intraclip labels. Provides a pipeline to compare automated moment-to-moment labels to human labels. Current proof of concept work being fulfilled on Bird Audio clips using Microfaune predictions.