99%+
AI music detection accuracy
100K+
Melodies learned & compared daily
60K+
Musicians using MIPPIA
RESEARCH
Research Papers & Patents
We presented two music-analysis papers at APSIPA ASC 2025, introduced additional research at ISMIR 2025, and registered two core-technology patents.
PAPER · APSIPA ASC 2025
Real-World Music Plagiarism Detection with Music Segment Transcription System
A study proposing a method to detect real-world plagiarism by transcribing and comparing music at the segment level.
📄 APSIPA ASC 2025PAPER · APSIPA ASC 2025
Segment Transformer: AI-Generated Music Detection via Music Structural Analysis
A model study that distinguishes AI-generated audio through music structural analysis and a Segment Transformer.
📄 APSIPA ASC 2025PAPER · ISMIR 2025 (LBD)
From Fixed Windows to Musical Bars: Structure-Aware Preprocessing in MIR
An ISMIR 2025 Late-Breaking/Demo study proposing structure-aware, bar-level preprocessing instead of fixed windows.
📄 ISMIR 2025 LBDPATENT · Registered
Music Plagiarism Inspection Method, Electronic Device and Recording Medium
A music plagiarism inspection patent based on melody comparison and segment-level plagiarism-rate computation.
🔖 Patent 10-2801150PATENT · Registered
Method for Providing Plagiarism Result Information, Electronic Device and Recording Medium
A registered patent on methods for delivering and visualizing plagiarism inspection results to users.
🔖 Patent 10-2801153AWARD
Awards & Recognition
CES 2026 Innovation Award Honoree
Our AI music detection technology was named a CES 2026 Innovation Award Honoree (Enterprise Tech).