Faculty

Institution

Unit

Venue

Christopher Raphael

Professor of Music Informatics Adjunct Professor of Cognitive Science

Indiana University Bloomington

Affiliations

College of Arts & Sciences

Cognitive Science Program

Luddy School Ofinformatics, Computing, and Engineering

Department of Computer Science

Department of Informatics

Christopher Raphael is currently serving as a Cognitive Science Program Professor of Music Informatics Adjunct Professor of Cognitive Science at Indiana University Bloomington.

Honors

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Experiences

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Education

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Christopher Raphael

Indiana University Bloomington

Professor of Music Informatics Adjunct Professor of Cognitive Science

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music music information retrieval computer science machine learning music processing information retrieval computer music optical music recognition applied mathematics music technology (electronic and digital) artificial intelligence audio signal processing digital signal processing pattern recognition cognitive science natural language processing audio retrieval computational musicology computational intelligence information technology speech processing musical expression optical information processing sound synthesis acoustic signal processing acoustic modeling melodic expression music science music perception music psychology sequence alignment object recognition music classification musical analysis source separation audio analysis hybrid graphical model scientific computing automated reasoning digital mediums computational imaging statistical methodology composition studies nuclear science transcription regulation statistical signal processing automated machine learning bayesian network neuroinformatics classification method automatic classification form finding vocal music technology adoption automatic identification speech synthesis display technology electronic imaging optical engineering performance modeling international communication computer accompaniment music score alignment piano music automatic transcription polyphonic audio musical scores automatic musical accompaniment probabilistic expert system probabilistic graphical models symbolic scores music audio rhythm transcription real-time musical accompaniment musical accompaniments

Notable Scholarly Works

Notable Federal Grants

Collaborators

Virtual Ensemble Assembly: Musicality in Separation. Zenodo (CERN European Organization for Nuclear Research) (2022)

Kaitlin PetIlana ShapiroChristopher Raphael

musicvirtual ensemble assemblyperformance studiesnuclear sciencemachine learning

Markov-Switching State Space Models for Uncovering Musical Interpretation. The Annals of Applied Statistics (2021)

Daniel J. McDonaldMichael McBrideYupeng GuChristopher Raphael

musical interpretationapplied statisticsstatisticsstatistical methodologydata scienceapplied mathematicsbibliometrics

Observing Pianist Accuracy and Form With Computer Vision. (2019)

Jangwon LeeBardia DoostiYupeng GuDavid CartledgeDavid CrandallChristopher Raphael

musicform findingcomputer visionpianist accuracy

Optical Music Recognition and Human-In-The-Loop Computation. (2018)

Liang ChenChristopher Raphael

human-in-the-loop computationoptical music recognitioncomputer scienceartificial intelligence

Human-Guided Recognition of Music Score Images. (2017)

Liang ChenRong JinChristopher Raphael

automatic identificationcomputer visionmusic score imagespattern recognitionobject recognitionimage analysiscognitive sciencehuman-guided recognition

Towards Expressive Instrument Synthesis Through Smooth Frame-By-Frame Reconstruction: From String to Woodwind. (2017)

Sanna WagerLiang ChenMinje KimChristopher Raphael

musicsoundmusical expressiondancesmooth frame-by-frame reconstructionmusic processingmusic perceptionmusic generationsound renderingmusic technology (electronic and digital)target instrumentacoustic musicsound synthesisexpressive gesturesmusical compositionmusic psychologycomputer musicsound design

Human-Directed Optical Music Recognition. Electronic Imaging (2016)

Liang ChenChristopher Raphael

computational imagingtechnologydisplay technologywearable technologyoptical music recognitionmusic technology (electronic and digital)digital signal processinginformation technologyaudio signal processingelectronic imagingdigital image processingoptical information processingoptoelectronics

Human-Interactive Optical Music Recognition.. Zenodo (CERN European Organization for Nuclear Research) (2016)

Liang ChenErik StoltermanChristopher Raphael

music processingoptical music recognitionmusic technology (electronic and digital)music information retrievaldigital signal processinginformation retrievaldeep learningaudio signal processingoptical information processingsignal processingcognitive scienceaudio retrieval

Graph-Based Rhythm Interpretation.. Zenodo (CERN European Organization for Nuclear Research) (2015)

Rong JinChristopher Raphael

machine learninggraph-based rhythm interpretationgraph processinggraph signal processinggraph theorymusic information retrievalgraph analysisinformation retrievalgraphologycomputer scienceaudio retrieval

Instrument Identification in Optical Music Recognition.. Zenodo (CERN European Organization for Nuclear Research) (2015)

Yucong JiangChristopher Raphael

instrument identificationoptical music recognitionmusic information retrievalpattern recognitionelectrical engineering

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Christopher Raphael

Professor of Music Informatics Adjunct Professor of Cognitive Science

Indiana University Bloomington

Affiliations

College of Arts & Sciences

Cognitive Science Program

Luddy School Ofinformatics, Computing, and Engineering

Department of Computer Science

Department of Informatics

Christopher Raphael is currently serving as a Cognitive Science Program Professor of Music Informatics Adjunct Professor of Cognitive Science at Indiana University Bloomington.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Christopher Raphael

Indiana University Bloomington

Professor of Music Informatics Adjunct Professor of Cognitive Science

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Virtual Ensemble Assembly: Musicality in Separation. Zenodo (CERN European Organization for Nuclear Research) (2022)

Kaitlin PetIlana ShapiroChristopher Raphael

musicvirtual ensemble assemblyperformance studiesnuclear sciencemachine learning

Markov-Switching State Space Models for Uncovering Musical Interpretation. The Annals of Applied Statistics (2021)

Daniel J. McDonaldMichael McBrideYupeng GuChristopher Raphael

musical interpretationapplied statisticsstatisticsstatistical methodologydata scienceapplied mathematicsbibliometrics

Observing Pianist Accuracy and Form With Computer Vision. (2019)

Jangwon LeeBardia DoostiYupeng GuDavid CartledgeDavid CrandallChristopher Raphael

musicform findingcomputer visionpianist accuracy

Optical Music Recognition and Human-In-The-Loop Computation. (2018)

Liang ChenChristopher Raphael

human-in-the-loop computationoptical music recognitioncomputer scienceartificial intelligence

Human-Guided Recognition of Music Score Images. (2017)

Liang ChenRong JinChristopher Raphael

automatic identificationcomputer visionmusic score imagespattern recognitionobject recognitionimage analysiscognitive sciencehuman-guided recognition

Towards Expressive Instrument Synthesis Through Smooth Frame-By-Frame Reconstruction: From String to Woodwind. (2017)

Sanna WagerLiang ChenMinje KimChristopher Raphael

Human-Directed Optical Music Recognition. Electronic Imaging (2016)

Liang ChenChristopher Raphael

Human-Interactive Optical Music Recognition.. Zenodo (CERN European Organization for Nuclear Research) (2016)

Liang ChenErik StoltermanChristopher Raphael

Graph-Based Rhythm Interpretation.. Zenodo (CERN European Organization for Nuclear Research) (2015)

Rong JinChristopher Raphael

Instrument Identification in Optical Music Recognition.. Zenodo (CERN European Organization for Nuclear Research) (2015)

Yucong JiangChristopher Raphael

instrument identificationoptical music recognitionmusic information retrievalpattern recognitionelectrical engineering

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Similar Faculty Members

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Indiana University Bloomington

pattern recognition

large unorganized datasets

Michael A. Casey

Institution

Dartmouth College

music information retrieval

computer music

Bryan Pardo

Institution

Northwestern University

machine learning

computer science

Barry Vercoe

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music information retrieval

computer music

Shlomo Dubnov

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computational musicology

music information retrieval

Zhiyao Duan

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music information retrieval

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Taylor Berg-Kirkpatrick

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speech recognition

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