Reading sheetmusiccomputationallyUsing self-supervisedML toimprove MIRtasksControllingand designingaudio effectswith machinelearningGenerativeMusicMusic StyleTransfer,ExpressivePerformanceRenderingExperimentationand prototypingwith embeddedAI for DMIdesignMusicEnsembleSeparationPredictinghit songsML to controlphysical modelsfor synthesis,esp. extendedvocal techniquesExtendedRealityMusicalInstrumentsExtremeVocal EffectsSynthesisUsing MLand DSPExpressiveperformancemodelling formusicgenerationsystemsReal-timetimbralmapping forsynthesizerpercussionperformanceAMT (audio-to-score) forjazzensemblesSelf-supervisedlearning inAudioFingerprintingRepresentationLearningEmotion infilm music,compositiontechniques"Singingvoice"HCI, specialisedon the designand evaluationof tools to helpcomposersFinding waysaround thesymmetries thatbreakdifferentiablesignal processingPersonalSoundZoneNeo-RiemannianTheory togeneratesoundtracks forfilm and videogamesLearn latentrepresentationsof musicsamplesEEG,neuroscienceresearch intomusical BCIsCreativitySupport Toolsfor DJing andElectronicMusicProductionMulti modaluser-adaptation forAutomaticMusic TaggingIntelligentmusicproductionGenerativemodelling ofpianoperformanceInterfacingSynths withMusicalInstrumentsAppliedmusiccognitionTimbreTransferGuitar TablatureGeneration,Symbolic MusicGenerationAudioeditingAutomaticmusictranscriptionMusic, datascience,gender andmediastudiesReal-timegesturedescription fordigital musicalinstrumentsReading sheetmusiccomputationallyUsing self-supervisedML toimprove MIRtasksControllingand designingaudio effectswith machinelearningGenerativeMusicMusic StyleTransfer,ExpressivePerformanceRenderingExperimentationand prototypingwith embeddedAI for DMIdesignMusicEnsembleSeparationPredictinghit songsML to controlphysical modelsfor synthesis,esp. extendedvocal techniquesExtendedRealityMusicalInstrumentsExtremeVocal EffectsSynthesisUsing MLand DSPExpressiveperformancemodelling formusicgenerationsystemsReal-timetimbralmapping forsynthesizerpercussionperformanceAMT (audio-to-score) forjazzensemblesSelf-supervisedlearning inAudioFingerprintingRepresentationLearningEmotion infilm music,compositiontechniques"Singingvoice"HCI, specialisedon the designand evaluationof tools to helpcomposersFinding waysaround thesymmetries thatbreakdifferentiablesignal processingPersonalSoundZoneNeo-RiemannianTheory togeneratesoundtracks forfilm and videogamesLearn latentrepresentationsof musicsamplesEEG,neuroscienceresearch intomusical BCIsCreativitySupport Toolsfor DJing andElectronicMusicProductionMulti modaluser-adaptation forAutomaticMusic TaggingIntelligentmusicproductionGenerativemodelling ofpianoperformanceInterfacingSynths withMusicalInstrumentsAppliedmusiccognitionTimbreTransferGuitar TablatureGeneration,Symbolic MusicGenerationAudioeditingAutomaticmusictranscriptionMusic, datascience,gender andmediastudiesReal-timegesturedescription fordigital musicalinstruments

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