Omniscient Mozart, being able to transcribe everything in the music, including vocal, drum, chord, beat, instruments, and more.
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Updated
Jul 11, 2024 - Python
Omniscient Mozart, being able to transcribe everything in the music, including vocal, drum, chord, beat, instruments, and more.
website for my metal-related projects
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).
All-In-One Music Structure Analyzer
A tool for beat tracking, ready for FCPX and Premiere.
The Open Source AI Musical Toolkit
Smart Metronome, targeting for musical instrument players who would like to record their performance and get a report with beat accuracy analysis.
Codes for ICASSP 2024 paper: BEAST: Online Joint Beat and Downbeat Tracking Based on Streaming Transformer. An online beat tracking system based on streaming Transformer
consensus beat tracking and visualization in mixed metal songs, and headbanging motion analysis with 2D pose estimation
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.
ML project for music beat tracking
Simply sending the detected BPM to Resolume or any other LJ / VJ Software via OSC commands.
Repository for the IEEE/ACM TASLP 2023 Paper "Zero-Note Samba: Self-Supervised Beat Tracking".
Automatically generate a music video by extracting scenes from another video
Beat Tracking and Visualization
This project uses Flask, Librosa and JavaScript to create a simple beat tracking app. By uploading a piece of audio, user can get a figure annotated with predicted beat time stamps analyzed by algorithms through librosa.
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 t…
Tempo estimation, beat tracking, and meter recognition. (Music Information Retrieval)
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