Music StyleTransfer,ExpressivePerformanceRenderingCreativitySupport Toolsfor DJing andElectronicMusicProductionSelf-supervisedlearning inAudioFingerprintingExtremeVocal EffectsSynthesisUsing MLand DSPHCI, specialisedon the designand evaluationof tools to helpcomposersIntelligentmusicproductionExtendedRealityMusicalInstrumentsGuitar TablatureGeneration,Symbolic MusicGenerationReal-timegesturedescription fordigital musicalinstrumentsFinding waysaround thesymmetries thatbreakdifferentiablesignal processingAMT (audio-to-score) forjazzensemblesEEG,neuroscienceresearch intomusical BCIsTimbreTransferAppliedmusiccognitionUsing self-supervisedML toimprove MIRtasksMusic, datascience,gender andmediastudiesExperimentationand prototypingwith embeddedAI for DMIdesignInterfacingSynths withMusicalInstruments"Singingvoice"AudioeditingPersonalSoundZoneRepresentationLearningML to controlphysical modelsfor synthesis,esp. extendedvocal techniquesMusicEnsembleSeparationExpressiveperformancemodelling formusicgenerationsystemsAutomaticmusictranscriptionGenerativemodelling ofpianoperformanceNeo-RiemannianTheory togeneratesoundtracks forfilm and videogamesControllingand designingaudio effectswith machinelearningMulti modaluser-adaptation forAutomaticMusic TaggingEmotion infilm music,compositiontechniquesLearn latentrepresentationsof musicsamplesGenerativeMusicReal-timetimbralmapping forsynthesizerpercussionperformanceReading sheetmusiccomputationallyPredictinghit songsMusic StyleTransfer,ExpressivePerformanceRenderingCreativitySupport Toolsfor DJing andElectronicMusicProductionSelf-supervisedlearning inAudioFingerprintingExtremeVocal EffectsSynthesisUsing MLand DSPHCI, specialisedon the designand evaluationof tools to helpcomposersIntelligentmusicproductionExtendedRealityMusicalInstrumentsGuitar TablatureGeneration,Symbolic MusicGenerationReal-timegesturedescription fordigital musicalinstrumentsFinding waysaround thesymmetries thatbreakdifferentiablesignal processingAMT (audio-to-score) forjazzensemblesEEG,neuroscienceresearch intomusical BCIsTimbreTransferAppliedmusiccognitionUsing self-supervisedML toimprove MIRtasksMusic, datascience,gender andmediastudiesExperimentationand prototypingwith embeddedAI for DMIdesignInterfacingSynths withMusicalInstruments"Singingvoice"AudioeditingPersonalSoundZoneRepresentationLearningML to controlphysical modelsfor synthesis,esp. extendedvocal techniquesMusicEnsembleSeparationExpressiveperformancemodelling formusicgenerationsystemsAutomaticmusictranscriptionGenerativemodelling ofpianoperformanceNeo-RiemannianTheory togeneratesoundtracks forfilm and videogamesControllingand designingaudio effectswith machinelearningMulti modaluser-adaptation forAutomaticMusic TaggingEmotion infilm music,compositiontechniquesLearn latentrepresentationsof musicsamplesGenerativeMusicReal-timetimbralmapping forsynthesizerpercussionperformanceReading sheetmusiccomputationallyPredictinghit songs

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