Mojtaba (Moji) Heydari

BeatNet. BeatNet is state-of-the-art (Real-Time) and Offline joint music beat, downbeat, tempo, and meter tracking system using CRNN and particle filtering. (ISMIR 2021's paper implementation).

1D-StateSpace. This repository contains the implementation of an efficient joint beat, downbeat, tempo, and meter tracking system using a compact 1D probabilistic state space and a jump-back reward technique. ICASSP 2022.

Singing-Vocal-Beat-Tracking. This repo contains the source code of the first deep learning-base singing voice beat tracking system. It leverages WavLM and DistilHuBERT pre-trained speech models to create vocal embeddings and trains linear multi-head self-attention layers on top of them to extract vocal beat activations. Then, it uses HMM decoder to infer signing beats and tempo.

BeatNet-Plus. Source code for BeatNet+ training and inference, pre-trained weights, and prepared dataset annotations for rhythm analysis.

online-music-structure-segmentation. Python