TimbreTransferAppliedmusiccognitionMusic StyleTransfer,ExpressivePerformanceRenderingReading sheetmusiccomputationallyCreativitySupport Toolsfor DJing andElectronicMusicProductionControllingand designingaudio effectswith machinelearningReal-timetimbralmapping forsynthesizerpercussionperformanceEmotion infilm music,compositiontechniquesAudioeditingMulti modaluser-adaptation forAutomaticMusic TaggingFinding waysaround thesymmetries thatbreakdifferentiablesignal processingNeo-RiemannianTheory togeneratesoundtracks forfilm and videogamesGenerativeMusicIntelligentmusicproductionInterfacingSynths withMusicalInstrumentsReal-timegesturedescription fordigital musicalinstrumentsGenerativemodelling ofpianoperformanceExpressiveperformancemodelling formusicgenerationsystemsHCI, specialisedon the designand evaluationof tools to helpcomposersExperimentationand prototypingwith embeddedAI for DMIdesignExtendedRealityMusicalInstruments"Singingvoice"Using self-supervisedML toimprove MIRtasksGuitar TablatureGeneration,Symbolic MusicGenerationRepresentationLearningExtremeVocal EffectsSynthesisUsing MLand DSPAMT (audio-to-score) forjazzensemblesAutomaticmusictranscriptionMusic, datascience,gender andmediastudiesEEG,neuroscienceresearch intomusical BCIsPredictinghit songsML to controlphysical modelsfor synthesis,esp. extendedvocal techniquesLearn latentrepresentationsof musicsamplesSelf-supervisedlearning inAudioFingerprintingMusicEnsembleSeparationPersonalSoundZoneTimbreTransferAppliedmusiccognitionMusic StyleTransfer,ExpressivePerformanceRenderingReading sheetmusiccomputationallyCreativitySupport Toolsfor DJing andElectronicMusicProductionControllingand designingaudio effectswith machinelearningReal-timetimbralmapping forsynthesizerpercussionperformanceEmotion infilm music,compositiontechniquesAudioeditingMulti modaluser-adaptation forAutomaticMusic TaggingFinding waysaround thesymmetries thatbreakdifferentiablesignal processingNeo-RiemannianTheory togeneratesoundtracks forfilm and videogamesGenerativeMusicIntelligentmusicproductionInterfacingSynths withMusicalInstrumentsReal-timegesturedescription fordigital musicalinstrumentsGenerativemodelling ofpianoperformanceExpressiveperformancemodelling formusicgenerationsystemsHCI, specialisedon the designand evaluationof tools to helpcomposersExperimentationand prototypingwith embeddedAI for DMIdesignExtendedRealityMusicalInstruments"Singingvoice"Using self-supervisedML toimprove MIRtasksGuitar TablatureGeneration,Symbolic MusicGenerationRepresentationLearningExtremeVocal EffectsSynthesisUsing MLand DSPAMT (audio-to-score) forjazzensemblesAutomaticmusictranscriptionMusic, datascience,gender andmediastudiesEEG,neuroscienceresearch intomusical BCIsPredictinghit songsML to controlphysical modelsfor synthesis,esp. extendedvocal techniquesLearn latentrepresentationsof musicsamplesSelf-supervisedlearning inAudioFingerprintingMusicEnsembleSeparationPersonalSoundZone

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