Chord Reaper
AI-powered audio analysis for beat detection, chord recognition, and lyrics synchronization. Powered by state-of-the-art machine learning models.
Capabilities
Chord Reaper analyzes audio to extract musical information using advanced deep learning models.
Beat Detection
Identify beat positions, downbeats, BPM, and time signatures using neural network models.
Chord Recognition
Recognize chord progressions with 301 chord labels using CNN-LSTM architecture.
Lyrics Synchronization
Fetch and display time-synced lyrics from LRClib and Genius databases.
Song Structure
Segment songs into structural sections (verse, chorus, bridge) using SongFormer.
Models & Technology
Chord Reaper uses multiple machine learning models, each optimized for specific audio analysis tasks.
Beat Detection Models
Madmom
Neural network with high accuracy and speed, best for common time signatures (3/4, 4/4).
Beat-Transformer
Deep learning model with 5-channel audio separation, flexible in time signatures, slower processing speed.
Chord Recognition Models
Chord-CNN-LSTM
Convolutional and LSTM neural network for chord recognition with 301 chord labels. Excellent balance of accuracy and performance.
Song Structure Analysis
SongFormer
Transformer-based model for song structure segmentation. Identifies verse, chorus, bridge, intro, outro, and other musical sections.