Self-supervisedlearning inAudioFingerprintingMusicEnsembleSeparationExpressiveperformancemodelling formusicgenerationsystemsGuitar TablatureGeneration,Symbolic MusicGenerationHCI, specialisedon the designand evaluationof tools to helpcomposersAutomaticmusictranscriptionUsing self-supervisedML toimprove MIRtasksPersonalSoundZoneExtendedRealityMusicalInstrumentsAppliedmusiccognitionRepresentationLearningGenerativeMusicMulti modaluser-adaptation forAutomaticMusic TaggingAMT (audio-to-score) forjazzensemblesInterfacingSynths withMusicalInstrumentsMusic, datascience,gender andmediastudiesGenerativemodelling ofpianoperformance"Singingvoice"Finding waysaround thesymmetries thatbreakdifferentiablesignal processingPredictinghit songsExtremeVocal EffectsSynthesisUsing MLand DSPReal-timegesturedescription fordigital musicalinstrumentsIntelligentmusicproductionMusic StyleTransfer,ExpressivePerformanceRenderingEEG,neuroscienceresearch intomusical BCIsControllingand designingaudio effectswith machinelearningReal-timetimbralmapping forsynthesizerpercussionperformanceNeo-RiemannianTheory togeneratesoundtracks forfilm and videogamesExperimentationand prototypingwith embeddedAI for DMIdesignTimbreTransferML to controlphysical modelsfor synthesis,esp. extendedvocal techniquesAudioeditingEmotion infilm music,compositiontechniquesReading sheetmusiccomputationallyCreativitySupport Toolsfor DJing andElectronicMusicProductionLearn latentrepresentationsof musicsamplesSelf-supervisedlearning inAudioFingerprintingMusicEnsembleSeparationExpressiveperformancemodelling formusicgenerationsystemsGuitar TablatureGeneration,Symbolic MusicGenerationHCI, specialisedon the designand evaluationof tools to helpcomposersAutomaticmusictranscriptionUsing self-supervisedML toimprove MIRtasksPersonalSoundZoneExtendedRealityMusicalInstrumentsAppliedmusiccognitionRepresentationLearningGenerativeMusicMulti modaluser-adaptation forAutomaticMusic TaggingAMT (audio-to-score) forjazzensemblesInterfacingSynths withMusicalInstrumentsMusic, datascience,gender andmediastudiesGenerativemodelling ofpianoperformance"Singingvoice"Finding waysaround thesymmetries thatbreakdifferentiablesignal processingPredictinghit songsExtremeVocal EffectsSynthesisUsing MLand DSPReal-timegesturedescription fordigital musicalinstrumentsIntelligentmusicproductionMusic StyleTransfer,ExpressivePerformanceRenderingEEG,neuroscienceresearch intomusical BCIsControllingand designingaudio effectswith machinelearningReal-timetimbralmapping forsynthesizerpercussionperformanceNeo-RiemannianTheory togeneratesoundtracks forfilm and videogamesExperimentationand prototypingwith embeddedAI for DMIdesignTimbreTransferML to controlphysical modelsfor synthesis,esp. extendedvocal techniquesAudioeditingEmotion infilm music,compositiontechniquesReading sheetmusiccomputationallyCreativitySupport Toolsfor DJing andElectronicMusicProductionLearn latentrepresentationsof musicsamples

AIM Summer Retreat Bingo - Professional - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. Self-supervised learning in Audio Fingerprinting
  2. Music Ensemble Separation
  3. Expressive performance modelling for music generation systems
  4. Guitar Tablature Generation, Symbolic Music Generation
  5. HCI, specialised on the design and evaluation of tools to help composers
  6. Automatic music transcription
  7. Using self-supervised ML to improve MIR tasks
  8. Personal Sound Zone
  9. Extended Reality Musical Instruments
  10. Applied music cognition
  11. Representation Learning
  12. Generative Music
  13. Multi modal user-adaptation for Automatic Music Tagging
  14. AMT (audio-to-score) for jazz ensembles
  15. Interfacing Synths with Musical Instruments
  16. Music, data science, gender and media studies
  17. Generative modelling of piano performance
  18. "Singing voice"
  19. Finding ways around the symmetries that break differentiable signal processing
  20. Predicting hit songs
  21. Extreme Vocal Effects Synthesis Using ML and DSP
  22. Real-time gesture description for digital musical instruments
  23. Intelligent music production
  24. Music Style Transfer, Expressive Performance Rendering
  25. EEG, neuroscience research into musical BCIs
  26. Controlling and designing audio effects with machine learning
  27. Real-time timbral mapping for synthesizer percussion performance
  28. Neo-Riemannian Theory to generate soundtracks for film and video games
  29. Experimentation and prototyping with embedded AI for DMI design
  30. Timbre Transfer
  31. ML to control physical models for synthesis, esp. extended vocal techniques
  32. Audio editing
  33. Emotion in film music, composition techniques
  34. Reading sheet music computationally
  35. Creativity Support Tools for DJing and Electronic Music Production
  36. Learn latent representations of music samples