EEG,neuroscienceresearch intomusical BCIsAppliedmusiccognitionTimbreTransferAMT (audio-to-score) forjazzensemblesCreativitySupport Toolsfor DJing andElectronicMusicProductionAudioeditingSelf-supervisedlearning inAudioFingerprintingGuitar TablatureGeneration,Symbolic MusicGenerationReading sheetmusiccomputationallyGenerativemodelling ofpianoperformanceEmotion infilm music,compositiontechniquesExtendedRealityMusicalInstrumentsExpressiveperformancemodelling formusicgenerationsystemsControllingand designingaudio effectswith machinelearningPredictinghit songsReal-timegesturedescription fordigital musicalinstrumentsNeo-RiemannianTheory togeneratesoundtracks forfilm and videogamesExtremeVocal EffectsSynthesisUsing MLand DSPExperimentationand prototypingwith embeddedAI for DMIdesign"Singingvoice"Learn latentrepresentationsof musicsamplesHCI, specialisedon the designand evaluationof tools to helpcomposersAutomaticmusictranscriptionMusic StyleTransfer,ExpressivePerformanceRenderingML to controlphysical modelsfor synthesis,esp. extendedvocal techniquesIntelligentmusicproductionUsing self-supervisedML toimprove MIRtasksMusic, datascience,gender andmediastudiesInterfacingSynths withMusicalInstrumentsFinding waysaround thesymmetries thatbreakdifferentiablesignal processingPersonalSoundZoneReal-timetimbralmapping forsynthesizerpercussionperformanceMulti modaluser-adaptation forAutomaticMusic TaggingMusicEnsembleSeparationGenerativeMusicRepresentationLearningEEG,neuroscienceresearch intomusical BCIsAppliedmusiccognitionTimbreTransferAMT (audio-to-score) forjazzensemblesCreativitySupport Toolsfor DJing andElectronicMusicProductionAudioeditingSelf-supervisedlearning inAudioFingerprintingGuitar TablatureGeneration,Symbolic MusicGenerationReading sheetmusiccomputationallyGenerativemodelling ofpianoperformanceEmotion infilm music,compositiontechniquesExtendedRealityMusicalInstrumentsExpressiveperformancemodelling formusicgenerationsystemsControllingand designingaudio effectswith machinelearningPredictinghit songsReal-timegesturedescription fordigital musicalinstrumentsNeo-RiemannianTheory togeneratesoundtracks forfilm and videogamesExtremeVocal EffectsSynthesisUsing MLand DSPExperimentationand prototypingwith embeddedAI for DMIdesign"Singingvoice"Learn latentrepresentationsof musicsamplesHCI, specialisedon the designand evaluationof tools to helpcomposersAutomaticmusictranscriptionMusic StyleTransfer,ExpressivePerformanceRenderingML to controlphysical modelsfor synthesis,esp. extendedvocal techniquesIntelligentmusicproductionUsing self-supervisedML toimprove MIRtasksMusic, datascience,gender andmediastudiesInterfacingSynths withMusicalInstrumentsFinding waysaround thesymmetries thatbreakdifferentiablesignal processingPersonalSoundZoneReal-timetimbralmapping forsynthesizerpercussionperformanceMulti modaluser-adaptation forAutomaticMusic TaggingMusicEnsembleSeparationGenerativeMusicRepresentationLearning

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