Search results for "Computer music"

showing 7 items of 7 documents

Spectral tools for Dynamic Tonality and audio morphing

2009

Computer Music Journal Spectral Tools for Dynamic Tonality and Audio Morphing William Sethares sethares@ece.wisc.edu, Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI 53706 USA. Andrew Milne andymilne@tonalcentre.org, Department of Music, P.O. Box 35, 40014, University of Jyvaskyla, Finland. Stefan Tiedje Stefan-Tiedje@addcom.de, CCMIX, Paris, France. Anthony Prechtl aprechtl@gmail.com, Department of Music, P.O. Box 35, 40014, University of Jyvaskyla, Finland. James Plamondon jim@thumtronics.com, CEO, Thumtronics Inc., 6911 Thistle Hill Way, Austin, TX 78754 USA

ComputingMilieux_GENERALMorphingEngineeringbusiness.industrySpeech recognitionMedia TechnologyDynamic tonalityComputer musicComputingMilieux_LEGALASPECTSOFCOMPUTINGbusinessMusicComputer Science ApplicationsVisual arts
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Sing with the Telenoid

2012

We introduce a novel research proposal project aimed to build a robotic setup in which the Telenoid learns to improvise jazz singing in a duet with a human singer. In the proposed application, the Telenoid acts in teleoperated mode during the learning phase, while it becomes more and more autonomous during the working phase. A goal of the research is to investigate the essence of human communication which is based on gestures and prosody. We will employ an architecture for imitation learning that incrementally learns from demonstrations sequences of internal model activations, based on the idea of coupled forward- inverse internal models for representing musical phrases and the body sequenc…

EmotionCreativitySettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniEmbodimentImitation learningComputer MusicHuman-robot Interaction.
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Knots, Music and DNA

2020

Musical gestures connect the symbolic layer of the score to the physical layer of sound. I focus here on the mathematical theory of musical gestures, and I propose its generalization to include braids and knots. In this way, it is possible to extend the formalism to cover more case studies, especially regarding conducting gestures. Moreover, recent developments involving comparisons and similarities between gestures of orchestral musicians can be contextualized in the frame of braided monoidal categories. Because knots and braids can be applied to both music and biology (they apply to knotted proteins, for example), I end the article with a new musical rendition of DNA.

MusicalVisual artGeneral Mathematics (math.GM)Mathematics::Category TheoryBraidFOS: MathematicsCategory theory; Composition; Musical gesture; Synesthesia; Visual artAlgorithmic compositionMathematics - General MathematicsSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - InformaticaMusic psychologyMusical gestureSettore MAT/04 - Matematiche ComplementariMathematics::Geometric TopologyLinguisticsMathematical theorySettore MAT/02 - AlgebraCategory theory Composition Musical gesture Synesthesia Visual art SettoreComputer Science::SoundThe SymbolicComputer musicMusicSynesthesiaGestureCategory theoryComposition
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An Interactive MIDI Accompanist

1998

The ability to infer beat and meter from music is one of the basic activities of musical cognition. After hearing only a short fraction of music, we are able to develop a sense of beat and to tap our foot along with the music. Even if the music is rhythmically complex, containing a range of different time values and possibly syncopation as well, we are capable of inferring the different periodicities present in the music and synchronizing to them. Simulating this activity with a computer program might seem, at first glance, to be simple. If a note onset (that is, an attack) occurs before the system expects it to occur, the estimated tempo is increased, and vice versa. In practice, however, …

ParsingMIDIComputer scienceSpeech recognitionMusicalcomputer.file_formatcomputer.software_genreComputer Science ApplicationsSyncopationRhythmMedia TechnologyA priori and a posterioriComputer musiccomputerBeat (music)MusicComputer Music Journal
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On Analytical vs . Schizophrenic Procedures for Computing Music

2009

The authors present a perspective on computer music, which is based on some particular definitions of music in relation to oral culture and cybernetics. They describe some experiments with different models of neural architectures which generate original music, and then suggest that if such neural systems are rich, effective and intuitive enough to produce ‘live’ music, the understanding of their behaviour may require the development of some ‘schizophrenic’ procedures, as well as analytical ones.

Relation (database)Computer science[ SHS.MUSIQ ] Humanities and Social Sciences/Musicology and performing arts[SCCO.COMP]Cognitive science/Computer science[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]050105 experimental psychology[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL][INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]03 medical and health sciences0302 clinical medicine[ INFO.INFO-HC ] Computer Science [cs]/Human-Computer Interaction [cs.HC]Music information retrievalCybernetics0501 psychology and cognitive sciences[ INFO.INFO-CL ] Computer Science [cs]/Computation and Language [cs.CL][INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC][ INFO.INFO-NE ] Computer Science [cs]/Neural and Evolutionary Computing [cs.NE][ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]ComputingMilieux_MISCELLANEOUSCognitive science[SHS.MUSIQ]Humanities and Social Sciences/Musicology and performing arts[ INFO.INFO-ET ] Computer Science [cs]/Emerging Technologies [cs.ET]Artificial neural networkMulti-agent system[SCCO.NEUR]Cognitive science/Neuroscience05 social sciencesPerspective (graphical)Pop music automation[SHS.ANTHRO-SE]Humanities and Social Sciences/Social Anthropology and ethnology[ SHS.ANTHRO-SE ] Humanities and Social Sciences/Social Anthropology and ethnology[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA][ SCCO.COMP ] Cognitive science/Computer science[INFO.INFO-SD]Computer Science [cs]/Sound [cs.SD][ SCCO.NEUR ] Cognitive science/Neuroscience[ INFO.EIAH ] Computer Science [cs]/Technology for Human Learning[ INFO.INFO-MA ] Computer Science [cs]/Multiagent Systems [cs.MA]Computer music[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET][INFO.EIAH]Computer Science [cs]/Technology for Human Learning[ INFO.INFO-SD ] Computer Science [cs]/Sound [cs.SD][SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing030217 neurology & neurosurgeryMusic
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Jazz and machine consciousness: Towards a new turing test

2012

A form of Turing test is proposed and based on the capability for an agent to produce jazz improvisations at the same level of an expert jazz musician.

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniComputer MusicTuring TestMachine Consciousne
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Video Visualization of Predictors of Emotions Dynamically Expressed by Music

2013

Music is particularly appreciated for its capacity of evoking a large range of emotions. A growing area of research in music psychology and computer music endeavors to understand and model the role of the different constituents of music in its overall emotional impact. Whereas research so far has mainly focused on global musical and emotional descriptions, our project investigates more in detail the relationship between the dynamic evolution of musical content and the dynamic development of the resulting emotional reaction. We introduce a new method for predicting the dynamic appreciation of emotion based on audio and musical descriptions. We focus on one particular emotion: power. We propo…

Video visualizationMultimediaMusic and emotionDynamics (music)Music psychologyEnergy (esotericism)Computer musicMusicalcomputer.software_genrePsychologycomputerFocus (linguistics)Cognitive psychology2013 Humaine Association Conference on Affective Computing and Intelligent Interaction
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