Music Producers
Skip labor‑intensive manual slicing for raw drum tracks. Quickly find and reuse grooves, receive clean‑editable segments for faster music production.
No mechanical slicing, only deep musical comprehension. Powered by audio‑signal analysis and deep learning, it detects drum‑track structures, segments performances, categorizes rhythmic patterns, and turns raw recordings into editable, presentable structured drum‑score assets in seconds.
No mechanical slicing, only deep musical comprehension. Powered by audio‑signal analysis and deep learning, it detects drum‑track structures, segments performances, categorizes rhythmic patterns, and turns raw recordings into editable, presentable structured drum‑score assets in seconds.
Performance‑Aware Intelligent Audio Segmentation
Two‑Stage CRNN‑Powered AI Detection
Intelligent Segment Boundary Refinement
Automatic Groove Pattern Classification
Global Consistent Tempo Mapping
Transform raw drum audio into well‑structured drum scores through a four‑step end‑to‑end AI pipeline.
Extract time‑frequency features, detect drum onsets. Output: structured feature vectors.
Two‑stage CRNN separates silence, grooves and fills. Output: initial segment sequence.
Optimize clip edges via snapping, merging and splitting. Output: stabilized structural segments.
Rhythm clustering + global tempo alignment. Output: structured data with groove & tempo tags.
Skip labor‑intensive manual slicing for raw drum tracks. Quickly find and reuse grooves, receive clean‑editable segments for faster music production.
Isolate grooves and fills for comparative teaching. Generate visual teaching assets with auto tempo & structure tags. Group similar rhythms to support students’ structural understanding.
Consume structured data with groove and tempo metadata. Integrate with DAW plugins & music apps. Gain core AI audio analysis for building new AI‑music solutions.