GroupMM (International Audio Laboratories Erlangen)

Accompaniying codebase for the Beethoven Symphony (Excerpt) Dataset BS(E)D

Rendering pipeline for the ChoraleWind dataset

Preparation Course PyTorch Notebooks

A Python Library for Fundamental Frequency Estimation in Music Recordings

Preparation Course Python Notebooks

A Python toolbox for Time-Scale Modification (TSM) and Pitch-Shifting.

A Python toolbox with reference implementations for efficient, robust, and accurate music synchronization based on dynamic time warping (DTW)

A Python package for teaching and learning Fundamentals of Music Processing (FMP)

Official Pytorch implementation of the fundamental frequency estimator described in "Robust and Lightweight F0 Estimation Through Mid-Level Fusion of DSP-Informed Features", ICASSP 2026.

This is a Python package containing Pytorch implementations of differentiable variants of classical fundamental frequency estimators (dYIN and dSWIPE).