Datasets

Within the last years Fraunhofer IDMT has compiled audio datasets for different research areas like the detection of instruments, fingerings or performance analysis. These datasets have been presented in several scientific publications on international conferences and shall serve the scientific community as potential benchmarks for comparison experiments.

• IDMT-SMT-Bass
  An audio database for bass transcription and signal processing
• IDMT-SMT-Audio-Effects
  An audio database for automatic effect detection in recordings of electric guitar and bass
• IDMT-SMT-Bass Synthesis
  A Digital Waveguide Model of the Electric Bass Guitar including Different Playing Techniques
• IDMT-SMT-Bass-Single-Track
• Multi-track studio recordings of live performances in Swing, Blues and Funk styles
• IDMT-SMT-Guitar
  An audio database for guitar transcription and signal processing
  
• IDMT-SMT-Drums
  An audio database for drum transcription and source separation
• Multicodec Invdec Tampering Dataset
• IDMT-SMT-Chords
  A database for automatic chord estimation and music transcription
• IDMT-SMT-Chord-Sequences
  A Novel Dataset for Time-Dependent Harmonic Similarity between Chord Sequences
• IDMT-PIANO-MM
  A dataset for piano transcription evaluation under microphone mismatch conditions

• IDMT-ISA-Electric-Engine
  An audio database for the automatic analysis of operational states of electric enginges
• IDMT-ISA-Metal-Balls
  An audio database for the automatic surface detection of metal balls
• IDMT-ISA-Tubes
  An audio database for the automatic detection of bulk materials
• IDMT-ISA-Pucks
  An audio database for the automatic detection of plastic materials
• IDMT-ISA-Compressed-Air
  An audio database for compressed air leak detection
• IDMT-TRAFFIC
  An audio database for acoustic traffic monitoring
  
• IDMT-FL
  DESED-FL and URBAN-FL: Federated learning datasets for sound event detection