Sound to Sense - Sense to Sound: A state of the art in Sound and Music Computing

[1]  Caroline Palmer The role of interpretive preferences in music performance. , 1992 .

[2]  Johan Sundberg,et al.  Threshold and Preference Quantities of Rules for Music Performance , 1991 .

[3]  Sundberg,et al.  Music and Hearing Quarterly Progress and Status Report Is the musical retard an allusion to physical motion ? , 2007 .

[4]  Bruno L. Giordano,et al.  Walking and playing: what's the origin of emotional expressiveness in music? , 2006 .

[5]  L. H. Shaffer,et al.  Timing in Solo and Duet Piano Performances , 1984 .

[6]  D. Wang,et al.  Computational Auditory Scene Analysis: Principles, Algorithms, and Applications , 2006, IEEE Trans. Neural Networks.

[7]  Gerhard Widmer,et al.  Relational IBL in classical music , 2006, Machine Learning.

[8]  Ken-Ichi Sakakibara,et al.  Growl Voice in Ethnic and Pop Styles , 2004 .

[9]  Johan Sundberg Four Years of Research on Music and Motion , 2000 .

[10]  Walter J Dowling,et al.  Recognition of melodic transformations: Inversion, retrograde, and retrograde inversion , 1972 .

[11]  Fred Lerdahl,et al.  Tonal Pitch Space , 2001 .

[12]  David K. Mellinger,et al.  Event formation and separation in musical sound , 1992 .

[13]  Fabien Gouyon,et al.  Towards Rhythmic Content Processing of Musical Signals: Fostering Complementary Approaches , 2003 .

[14]  Belinda Thom,et al.  Evaluating Melodic Segmentation , 2002, ICMAI.

[15]  Nicu Sebe,et al.  Challenges of Image and Video Retrieval , 2002, CIVR.

[16]  Anssi Klapuri,et al.  Signal Processing Methods for Music Transcription , 2006 .

[17]  George Tzanetakis,et al.  Manipulation, analysis and retrieval systems for audio signals , 2002 .

[18]  Xavier Rodet,et al.  Improving polyphonic and poly-instrumental music to score alignment , 2003, ISMIR.

[19]  Alex Loscos,et al.  Emulating Rough And Growl Voice In Spectral Domain , 2004 .

[20]  J. Sundberg,et al.  The Science of Singing Voice , 1987 .

[21]  C. Krumhansl,et al.  The Perception of Tone Hierarchies and Mirror Forms in Twelve-Tone Serial Music , 1987 .

[22]  B. Liu,et al.  Implementation of the Digital Phase Vocoder Using the Fast Fourier Transform , 2022 .

[23]  C. P. Heinlein,et al.  A Discussion of the Nature of Pianoforte Damper-Pedalling Together with an Experimental Study of Some Individual Differences in Pedal Performance , 1929 .

[24]  Andy Hunt,et al.  Guest Editors' Introduction: An Introduction to Interactive Sonification , 2005, IEEE Multim..

[25]  Stephen McAdams,et al.  Analyzing Musical Sound , 2004 .

[26]  John F. Kolen,et al.  Resonance and the Perception of Musical Meter , 1994, Connect. Sci..

[27]  Guerino Mazzola,et al.  Tempo Curves Revisited: Hierarchies of Performance Fields , 1994 .

[28]  John Rink,et al.  Musical Performance: A Guide to Understanding , 2002 .

[29]  Klaus Obermayer,et al.  Correspondence Analysis for Visualizing Interplay of Pitch Class, Key, and Composer , 2003 .

[30]  D. Ellis Learning the meaning of music , 2005 .

[31]  Teresa H. Y. Meng,et al.  Transient Modeling Synthesis: a flexible analysis/synthesis tool for transient signals , 1998, ICMC.

[32]  George Tzanetakis,et al.  Musical genre classification of audio signals , 2002, IEEE Trans. Speech Audio Process..

[33]  B. Repp Expressive Timing in a Debussy Prelude: A Comparison of Student and Expert Pianists , 1997 .

[34]  A. Reber Implicit learning of artificial grammars , 1967 .

[35]  Matti Karjalainen,et al.  Virtual Air Guitar , 2006 .

[36]  C. P. Heinlein,et al.  Pianoforte Damper-Pedalling under Ten Different Experimental Conditions , 1930 .

[37]  Elias Pampalk,et al.  An Implementation of a Simple Playlist Generator Based on Audio Similarity Measures and User Feedback , 2006, ISMIR.

[38]  B. Tillmann,et al.  Effect of global structure and temporal organization on chord processing , 1999 .

[39]  B H Repp A microcosm of musical expression. III. Contributions of timing and dynamics to the aesthetic impression of pianists' performances of the initial measures of Chopin's Etude in E major. , 1999, The Journal of the Acoustical Society of America.

[40]  Marcel Worring,et al.  Content-Based Image Retrieval at the End of the Early Years , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[41]  Anssi Klapuri,et al.  Automatic Music Transcription as We Know it Today , 2004 .

[42]  Jordi Bonada,et al.  Vibrato Extraction and Parameterization in the Spectral Modeling Synthesis framework , 1998 .

[43]  Carl E. Seashore,et al.  Psychology of the vibrato in voice and instrument , 1936 .

[44]  Teuvo Kohonen,et al.  Self-Organizing Maps , 2010 .

[45]  Julien Pinquier,et al.  A fusion study in speech / music classification , 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

[46]  Peter Manning The Voltage-Controlled Synthesizer , 2004 .

[47]  Haruhiro Katayose,et al.  Rencon 2004: Turing Test for Musical Expression , 2004, NIME.

[48]  C Palmer,et al.  Range of planning in music performance. , 1995, Journal of experimental psychology. Human perception and performance.

[49]  Fabien Gouyon,et al.  Determination of the meter of musical audio signals: Seeking recurrences in beat segment descriptors , 2003 .

[50]  E. Terhardt,et al.  Algorithm for extraction of pitch and pitch salience from complex tonal signals , 1982 .

[51]  Paul Dourish,et al.  Where the action is , 2001 .

[52]  R.W. Schafer,et al.  From frequency to quefrency: a history of the cepstrum , 2004, IEEE Signal Processing Magazine.

[53]  Lawrence R. Rabiner,et al.  A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.

[54]  Gerhard Widmer,et al.  Acoustic Cues to Beat Induction: A Machine Learning Perspective , 2006 .

[55]  Ian H. Jermyn,et al.  The Methodology and Practice of the Evaluation of Image Retrieval Systems and Segmentation Methods , 2003 .

[56]  C. Palmer,et al.  Units of knowledge in music performance. , 1993, Journal of experimental psychology. Learning, memory, and cognition.

[57]  Caroline Palmer,et al.  Movement amplitude and tempo change in piano performance , 2004 .

[58]  B. Repp A microcosm of musical expression. I. Quantitative analysis of pianists' timing in the initial measures of Chopin's Etude in E major. , 1998, The Journal of the Acoustical Society of America.

[59]  H. C. Losguet-Higgins The Perception of Music , 1978 .

[60]  Mark B. Sandler,et al.  Automatic Rhythm Modification of Drum Loops , 2007, IEEE Signal Processing Letters.

[61]  B H Repp,et al.  Expressive timing in Schumann's "Träumerei:" an analysis of performances by graduate student pianists. , 1995, The Journal of the Acoustical Society of America.

[62]  Jordi Bonada,et al.  RHYTHMIC EXPRESSIVENESS TRANSFORMATIONS OF AUDIO RECORDINGS: SWING MODIFICATIONS , 2003 .

[63]  Udo Zölzer,et al.  Adaptive digital audio effects (a-DAFx): a new class of sound transformations , 2006, IEEE Transactions on Audio, Speech, and Language Processing.

[64]  Peter Hagmann Das Welte-Mignon-Klavier, die Welte-Philharmonie-Orgel und die Anfänge der Reproduktion von Musik , 1984 .

[65]  Ramón López de Mántaras,et al.  Ai and Music: From Composition to Expressive Performance , 2002, AI Mag..

[66]  T Nakamura,et al.  The communication of dynamics between musicians and listeners through musical performance. , 1989, Perception & psychophysics.

[67]  Nicola Orio,et al.  Music Retrieval: A Tutorial and Review , 2006, Found. Trends Inf. Retr..

[68]  Gerhard Widmer,et al.  Modeling the rational basis of musical expression , 1995 .

[69]  Miller Puckette,et al.  Pure Data , 1997, ICMC.

[70]  Darko Kirovski,et al.  Beat-ID: identifying music via beat analysis , 2002, 2002 IEEE Workshop on Multimedia Signal Processing..

[71]  Yoram Singer,et al.  Learning to Align Polyphonic Music , 2004, ISMIR.

[72]  Jean Laroche,et al.  Efficient Tempo and Beat Tracking in Audio Recordings , 2003 .

[73]  John William Gordon Perception of attack transients in musical tones , 1984 .

[74]  R. Francès La perception de la musique , 1958 .

[75]  P. Perruchet,et al.  Implicit learning of an artificial grammar of musical timbres , 1998 .

[76]  M. Kassler Toward Musical Information Retrieval , 1966 .

[77]  George Tzanetakis,et al.  Multifeature audio segmentation for browsing and annotation , 1999, Proceedings of the 1999 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics. WASPAA'99 (Cat. No.99TH8452).

[78]  P. Laukka,et al.  Expression, Perception, and Induction of Musical Emotions: A Review and a Questionnaire Study of Everyday Listening , 2004 .

[79]  C Palmer,et al.  Harmonic, melodic, and frequency height influences in the perception of multivoiced music , 1994, Perception & psychophysics.

[80]  Sofia Dahl,et al.  Experiments on gestures: walking, running, and hitting. , 2003 .

[81]  S. Grossberg,et al.  Adaptive pattern classification and universal recoding: I. Parallel development and coding of neural feature detectors , 1976, Biological Cybernetics.

[82]  Lars Kai Hansen,et al.  Temporal Feature Integration for Music Organisation , 2006 .

[83]  Xavier Serra,et al.  A system for sound analysis/transformation/synthesis based on a deterministic plus stochastic decomposition , 1989 .

[84]  Kunio Kashino,et al.  Organization of Hierarchical Perceptual Sounds: Music Scene Analysis with Autonomous Processing Modules and a Quantitative Information Integration Mechanism , 1995, IJCAI.

[85]  Gerhard Widmer,et al.  Studying a creative act with computers: Music performance studies with automated discovery methods , 2005 .

[86]  Bruno H. Repp On Determining the Basic Tempo of an Expressive Music Performance , 1994 .

[87]  Christopher Raphael,et al.  Automatic Segmentation of Acoustic Musical Signals Using Hidden Markov Models , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[88]  Guerino Mazzola,et al.  Performance and Interpretation , 2002 .

[89]  B H Repp,et al.  Relational invariance of expressive microstructure across global tempo changes in music performance: An exploratory study , 1994, Psychological research.

[90]  Sergi Jordà,et al.  The reacTable: exploring the synergy between live music performance and tabletop tangible interfaces , 2007, TEI.

[91]  F. Gouyon A computational approach to rhythm description - Audio features for the computation of rhythm periodicity functions and their use in tempo induction and music content processing , 2005 .

[92]  B H Repp,et al.  The dynamics of expressive piano performance: Schumann's "Träumerei" revisited. , 1996, Journal of the Acoustical Society of America.

[93]  Aaron Williamon,et al.  Mastery through imitation: A preliminary study , 2005 .

[94]  C. Palmer Mapping musical thought to musical performance. , 1989, Journal of experimental psychology. Human perception and performance.

[95]  Stephen Brewster,et al.  Nonspeech auditory output , 2002 .

[96]  Alex Loscos Spectral processing of the singing voice , 2007 .

[97]  Daniel P. W. Ellis,et al.  Chord segmentation and recognition using EM-trained hidden markov models , 2003, ISMIR.

[98]  C. Krumhansl Cognitive Foundations of Musical Pitch , 1990 .

[99]  Elizabeth K. Johnson,et al.  Word Segmentation by 8-Month-Olds: When Speech Cues Count More Than Statistics , 2001 .

[100]  Barry Vercoe,et al.  Music-listening systems , 2000 .

[101]  B H Repp,et al.  Detectability of duration and intensity increments in melody tones: A partial connection between music perception and performance , 1995, Perception & psychophysics.

[102]  Gerhard Widmer,et al.  Evaluating Rhythmic descriptors for Musical Genre Classification , 2004 .

[103]  B H Repp,et al.  Patterns of expressive timing in performances of a Beethoven minuet by nineteen famous pianists. , 1988, The Journal of the Acoustical Society of America.

[104]  Peter Desain,et al.  Timing of Ornaments in the Theme from Beethoven's Paisiello Variations: Empirical Data and a Model , 2002 .

[105]  P. Juslin,et al.  The Role of Timing Patterns in Recognition of Emotional Expression from Musical Performance , 1999 .

[106]  Bozena Kostek,et al.  Computer-Based Recognition of Musical Phrases Using The Rough-Set Approach , 1998, Inf. Sci..

[107]  Eleni Lapidaki Consistency of tempo judgments as a measure of time experience in music listening , 1996 .

[108]  Christiaan de Lannoy Detection and discrimination of dodecaphonic series , 1972 .

[109]  C. Palmer Anatomy of a Performance: Sources of Musical Expression , 1996 .

[110]  Esteban Maestre,et al.  A machine learning approach to expressive performance in jazz standards , 2004, KDD 2004.

[111]  Malcolm D. Macleod,et al.  Particle Filtering Applied to Musical Tempo Tracking , 2004, EURASIP J. Adv. Signal Process..

[112]  Sergi Jordà,et al.  Sonigraphical Instruments: From FMOL to the reacTable* , 2003, NIME.

[113]  J. Bharucha Music Cognition and Perceptual Facilitation: A Connectionist Framework , 1987 .

[114]  B. Ong Structural analysis and segmentation of music signals , 2007 .

[115]  Simon Dixon,et al.  An open source tool for semi-automatic rhythmic annotation , 2004 .

[116]  Leonard B. Meyer Emotion and Meaning in Music , 1957 .

[117]  Kjetil Falkenberg Hansen The Basics of Scratching , 2002 .

[118]  Gerhard Widmer,et al.  Discovering simple rules in complex data: A meta-learning algorithm and some surprising musical discoveries , 2003, Artif. Intell..

[119]  Paul Fraisse,et al.  Psychologie du temps , 1959 .

[120]  James A. Ballas,et al.  Acquisition of acoustic pattern categories by exemplar observation , 1982 .

[121]  David Miles Huber,et al.  The MIDI Manual , 1991 .

[122]  A. Noll Cepstrum pitch determination. , 1967, The Journal of the Acoustical Society of America.

[123]  S. McAdams,et al.  Auditory Cognition. (Book Reviews: Thinking in Sound. The Cognitive Psychology of Human Audition.) , 1993 .

[124]  Guerino Mazzola,et al.  Rational composition of performance , 1998 .

[125]  E. Newport,et al.  WORD SEGMENTATION : THE ROLE OF DISTRIBUTIONAL CUES , 1996 .

[126]  Eleanor Selfridge-Field,et al.  Conceptual and representational issues in melodic comparison , 1998 .

[127]  Lie Lu,et al.  Automatic mood detection from acoustic music data , 2003, ISMIR.

[128]  Maarten Grachten,et al.  A case based approach to expressivity-aware tempo transformation , 2006, Machine Learning.

[129]  B H Repp,et al.  A microcosm of musical expression: II. Quantitative analysis of pianists' dynamics in the initial measures of Chopin's Etude in E major. , 1999, The Journal of the Acoustical Society of America.

[130]  Wolfgang Hess,et al.  Pitch Determination of Speech Signals: Algorithms and Devices , 1983 .

[131]  Z. Dienes,et al.  Modality Independence of Implicitly Learned Grammatical Knowledge , 2004 .

[132]  Davide Rocchesso,et al.  Emerging Sounds for Disappearing Computers , 2007, The Disappearing Computer.

[133]  Ian H. Witten,et al.  Signal processing for melody transcription , 1995 .

[134]  Yoichi Muraoka,et al.  Real-time beat tracking for drumless audio signals: Chord change detection for musical decisions , 1999, Speech Commun..

[135]  Barbara Tillmann,et al.  Implicit Learning of Regularities in Western Tonal Music by Self-Organization , 2000, NCPW.

[136]  J Schoentgen Stochastic models of jitter. , 2001, The Journal of the Acoustical Society of America.

[137]  Gerhard Widmer,et al.  Playing Mozart by Analogy: Learning Multi-level Timing and Dynamics Strategies , 2003 .

[138]  Erik D. Thiessen,et al.  When cues collide: use of stress and statistical cues to word boundaries by 7- to 9-month-old infants. , 2003, Developmental psychology.

[139]  Thomas L. Rhea,et al.  Evolution of the Keyboard Interface: The Bosendorfer 290 SE Recording Piano and the Moog Multiply-Touch-Sensitive Keyboards , 1990 .

[140]  B H Repp,et al.  Acoustics, perception, and production of legato articulation on a digital piano. , 1995, The Journal of the Acoustical Society of America.

[141]  Susan Wright,et al.  Towards Melodic Extension Using Genetic Algorithms , 2001, J. Educ. Technol. Soc..

[142]  Gerhard Widmer,et al.  Computational Models of Expressive Music Performance: The State of the Art , 2004 .

[143]  John Rink The Practice of Performance: Studies in Musical Interpretation , 1998 .

[144]  C. Krumhansl An exploratory study of musical emotions and psychophysiology. , 1997, Canadian journal of experimental psychology = Revue canadienne de psychologie experimentale.

[145]  Anders Friberg,et al.  Towards a rule-based model for violin vibrato , 2001 .

[146]  James D. Hollan,et al.  Direct Manipulation Interfaces , 1985, Hum. Comput. Interact..

[147]  Nicola Orio,et al.  Score Following Using Spectral Analysis and Hidden Markov Models , 2001, ICMC.

[148]  B. Repp The Aesthetic Quality of a Quantitatively Average Music Performance: Two Preliminary Experiments , 1997 .

[149]  Elias Pampalk,et al.  Computational Models of Music Similarity and their Application in Music Information Retrieval , 2006 .

[150]  Jaakko Astola,et al.  Analysis of the meter of acoustic musical signals , 2006, IEEE Transactions on Audio, Speech, and Language Processing.

[151]  N. Todd The kinematics of musical expression , 1995 .

[152]  P. Laukka,et al.  Communication of emotions in vocal expression and music performance: different channels, same code? , 2003, Psychological bulletin.

[153]  Luke Windsor,et al.  Make Me a Match: An Evaluation of Different Approaches to ScorePerformance Matching , 2000, Computer Music Journal.

[154]  Marc Leman,et al.  Correlation of Gestural Musical Audio Cues and Perceived Expressive Qualities , 2003, Gesture Workshop.

[155]  Gerhard Widmer,et al.  EXPLORING EXPRESSIVE PERFORMANCE TRAJECTORIES: SIX FAMOUS PIANISTS PLAY SIX CHOPIN PIECES , 2004 .

[156]  C. P. Heinlein,et al.  The Functional Rôle of Finger Touch and Damper-Pedalling in the Appreciation of Pianoforte Music , 1929 .

[157]  Simon J. Godsill,et al.  Bayesian Graphical Models for Polyphonic Pitch Tracking , 1999 .

[158]  Constantine Kotropoulos,et al.  Automatic Speaker Segmentation using Multiple Features and Distance Measures: A Comparison of Three Approaches , 2006, 2006 IEEE International Conference on Multimedia and Expo.

[159]  Max V. Mathews,et al.  The 1997 Mathews Radio-Baton and Improvisation Modes , 1997, ICMC.

[160]  Nigel Nettheim,et al.  On the spectral analysis of melody , 1992 .

[161]  Nicola Orio,et al.  Musical information retrieval using melodic surface , 1999, DL '99.

[162]  Ray Meddis,et al.  Virtual pitch and phase sensitivity of a computer model of the auditory periphery , 1991 .

[163]  Klaus Obermayer,et al.  A new method for tracking modulations in tonal music in audio data format , 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

[164]  Julius O. Smith,et al.  PARSHL: An Analysis/Synthesis Program for Non-Harmonic Sounds Based on a Sinusoidal Representation , 1987, ICMC.

[165]  Masataka Goto,et al.  A robust predominant-F0 estimation method for real-time detection of melody and bass lines in CD recordings , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

[166]  Masataka Goto,et al.  MusicRainbow: A New User Interface to Discover Artists Using Audio-based Similarity and Web-based Labeling , 2006, ISMIR.

[167]  Anders Friberg,et al.  Emotional Coloring of Computer-Controlled Music Performances , 2000, Computer Music Journal.

[168]  Caroline Palmer,et al.  On the Assignment of Structure in Music Performance , 1996 .

[169]  John Rink In Respect of Performance: The View from Musicology , 2003 .

[170]  Xavier Rodet,et al.  Toward Automatic Music Audio Summary Generation from Signal Analysis , 2002, ISMIR.

[171]  Anssi Klapuri,et al.  Sound onset detection by applying psychoacoustic knowledge , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

[172]  Ben Shneiderman,et al.  Leonardo's laptop: human needs and the new computing technologies , 2005, CIKM '05.

[173]  A. Reber Implicit learning and tacit knowledge , 1993 .

[174]  Rafael Ramírez,et al.  A Tool for Generating and Explaining Expressive Music Performances of Monophonic Jazz Melodies , 2006, Int. J. Artif. Intell. Tools.

[175]  Thomas F. Quatieri,et al.  Speech analysis/Synthesis based on a sinusoidal representation , 1986, IEEE Trans. Acoust. Speech Signal Process..

[176]  Otto Ortmann The Physical Basis of Piano Touch and Tone: An Experimental Investigation of the Effect of the Player's Touch upon the Tone of the Piano , 1925 .

[177]  Björn Lindblom,et al.  Explaining Phonetic Variation: A Sketch of the H&H Theory , 1990 .

[178]  K. Hevner,et al.  The affective value of pitch and tempo in music. , 1937 .

[179]  Liming Chen,et al.  Robust speech music discrimination using spectrum's first order statistics and neural networks , 2003, Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings..

[180]  L. H. Shaffer,et al.  Performances of Chopin, Bach, and Bartok: Studies in motor programming , 1984, Cognitive Psychology.

[181]  Rainer Typke,et al.  Music Retrieval based on Melodic Similarity , 2007 .

[182]  Christopher Raphael,et al.  A Hybrid Graphical Model for Aligning Polyphonic Audio with Musical Scores , 2004, ISMIR.

[183]  D Broadbent,et al.  Implicit and explicit knowledge bases in artificial grammar learning. , 1991, Journal of experimental psychology. Learning, memory, and cognition.

[184]  J. Burt Miner A contribution to the psychology of rhythm. , .

[185]  Sergi Jordà,et al.  Dynamic patches for live musical performance , 2004 .

[186]  Christopher Raphael,et al.  A hybrid graphical model for rhythmic parsing , 2002, Artif. Intell..

[187]  Simon Dixon,et al.  A Review of Automatic Rhythm Description Systems , 2005, Computer Music Journal.

[188]  X. Rodet,et al.  Vibrato : detection , estimation , extraction , modi cation , 1999 .

[189]  Hiroshi Ishii,et al.  Emerging frameworks for tangible user interfaces , 2000, IBM Syst. J..

[190]  Z. Dienes,et al.  Can musical transformations be implicitly learned , 2004 .

[191]  Matthew Wright,et al.  Towards Machine Learning of Expressive Microtiming in Brazilian Drumming , 2006, ICMC.

[192]  Michael T Turvey,et al.  An early oscillator model: studies on the biodynamics of the piano strike (Bernstein & Popova, 1930). , 2003, Motor control.

[193]  B H Repp The effect of tempo on pedal timing in piano performance , 1997, Psychological research.

[194]  Dorothy Swainson,et al.  The Physiological Mechanics of Piano Technique , 1962 .

[195]  Jean Laroche,et al.  Estimating tempo, swing and beat locations in audio recordings , 2001, Proceedings of the 2001 IEEE Workshop on the Applications of Signal Processing to Audio and Acoustics (Cat. No.01TH8575).

[196]  B. Repp Patterns of note onset asynchronies in expressive piano performance. , 1996, The Journal of the Acoustical Society of America.

[197]  Kjetil Falkenberg Hansen,et al.  Analysis of a Genuine Scratch Performance , 2003, Gesture Workshop.

[198]  Dirk-Jan Povel,et al.  Temporal structure of performed music: Some preliminary observations☆ , 1977 .

[199]  Fabien Gouyon,et al.  A Flexible Analysis-Synthesis Method for Transients , 2000, ICMC.

[200]  Gerhard Widmer,et al.  Large-scale Induction of Expressive Performance Rules: First Quantitative Results , 2000, ICMC.

[201]  J. Beauchamp,et al.  Fundamental frequency estimation of musical signals using a two‐way mismatch procedure , 1994 .

[202]  Xavier Serra,et al.  Sound transformations based on the SMS high level attributes , 1998 .

[203]  R. Jackendoff,et al.  A Generative Theory of Tonal Music , 1985 .

[204]  Steve R. Gunn,et al.  Result Analysis of the NIPS 2003 Feature Selection Challenge , 2004, NIPS.

[205]  Werner Verhelst,et al.  An overlap-add technique based on waveform similarity (WSOLA) for high quality time-scale modification of speech , 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[206]  Henkjan Honing,et al.  From Time to Time: The Representation of Timing and Tempo , 2001, Computer Music Journal.

[207]  Eric Moulines,et al.  A diphone synthesis system based on time-domain prosodic modifications of speech , 1989, International Conference on Acoustics, Speech, and Signal Processing,.

[208]  B H Repp,et al.  Some empirical observations on sound level properties of recorded piano tones. , 1993, The Journal of the Acoustical Society of America.

[209]  Luke Windsor,et al.  Data processing in music performance research: Using structural information to improve score-performance matching , 2000, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[210]  C. Palmer,et al.  Investigations in the amplitude of sounded piano tones. , 1991, The Journal of the Acoustical Society of America.

[211]  R. Parncutt A Perceptual Model of Pulse Salience and Metrical Accent in Musical Rhythms , 1994 .

[212]  Gerhard Widmer,et al.  Learning expressive performance: The structure‐level approach , 1996 .

[213]  Marc Leman,et al.  User-dependent taxonomy of musical features as a conceptual framework for musical audio-mining technology , 2003 .

[214]  George Tzanetakis,et al.  An experimental comparison of audio tempo induction algorithms , 2006, IEEE Transactions on Audio, Speech, and Language Processing.

[215]  B. Repp The Art of Inaccuracy: Why Pianists' Errors Are Difficult to Hear , 1996 .

[216]  Xavier Serra Sound hybridization techniques based on a deterministic plus stochastic decomposition model , 1994 .

[217]  Emilia Gómez,et al.  Automatic Characterization of Dynamics and Articulation of Expressive Monophone Recordings , 2005 .

[218]  Daniel P. W. Ellis,et al.  Ground-truth transcriptions of real music from force-aligned MIDI syntheses , 2003, ISMIR.

[219]  S. McAdams,et al.  Implicit learning of musical timbre sequences: statistical regularities confronted with acoustical (dis)similarities. , 2004, Journal of experimental psychology. Learning, memory, and cognition.

[220]  David Pearce,et al.  The aurora experimental framework for the performance evaluation of speech recognition systems under noisy conditions , 2000, INTERSPEECH.

[221]  Nico Schuler Freedom and Constraints in Timing and Ornamentation (review) , 2004 .

[222]  J. Gibson The Ecological Approach to Visual Perception , 1979 .

[223]  J. L. Wayman,et al.  High quality speech expansion, compression, and noise filtering using the sola method of time scale modification , 1989, Twenty-Third Asilomar Conference on Signals, Systems and Computers, 1989..

[224]  Jonas Beskow,et al.  Wavesurfer - an open source speech tool , 2000, INTERSPEECH.

[225]  Justin Zobel,et al.  Manipulation of music for melody matching , 1998, MULTIMEDIA '98.

[226]  Matti Karjalainen,et al.  Plucked-string models: From the Karplus-Strong algorithm to digital waveguides and beyond , 1998 .

[227]  Masataka Goto,et al.  An Audio-based Real-time Beat Tracking System for Music With or Without Drum-sounds , 2001 .

[228]  Malcolm Slaney,et al.  Construction and evaluation of a robust multifeature speech/music discriminator , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[229]  Neil P. McAngus Todd,et al.  A computational model of rubato , 1989 .

[230]  Hyung Soon Kim,et al.  Variable time-scale modification of speech using transient information , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[231]  B. Repp Diversity and commonality in music performance: an analysis of timing microstructure in Schumann's "Träumerei". , 1992, The Journal of the Acoustical Society of America.

[232]  Richard Kronland-Martinet,et al.  Analysis of Sound Patterns through Wavelet transforms , 1987, Int. J. Pattern Recognit. Artif. Intell..

[233]  P. Juslin,et al.  Cue Utilization in Communication of Emotion in Music Performance: Relating Performance to Perception Studies of Music Performance , 2022 .

[234]  S. Puig Digital lutherie - crafting musical computers for new musics' performance and improvisation , 2005 .

[235]  Nell P. McAngusTodd,et al.  The dynamics of dynamics: A model of musical expression , 1992 .

[236]  Guerino Mazzola Geometrie der Töne , 1990 .

[237]  L. Henry Shaffer How to interpret music. , 1992 .

[238]  Davide Rocchesso,et al.  Sounding Objects , 2003, IEEE Multim..

[239]  Patrik N. Juslin Studies of music performance: A theoretical analysis of empirical findings , 2003 .

[240]  David Zipser,et al.  Feature Discovery by Competive Learning , 1986, Cogn. Sci..

[241]  E. Bigand,et al.  Are we “experienced listeners”? A review of the musical capacities that do not depend on formal musical training , 2006, Cognition.

[242]  Luke Windsor,et al.  The Timing of Grace Notes in Skilled Musical Performance at Different Tempi: A Preliminary Case Study , 2001 .

[243]  Stephen McAdams,et al.  Aural Analysis of Arabic Improvised Instrumental Music (Taqsīīm) , 2003 .

[244]  W. Luke Windsor Data Collection, Experimental Design,and Statistics in Musical Research , 2004 .

[245]  Kristoffer Jensen,et al.  ENVELOPE MODEL OF ISOLATED MUSICAL SOUNDS , 1999 .

[246]  Arshia Cont,et al.  TOASTER and KROONDE: High-Resolution and High-Speed Real-time Sensor Interfaces , 2004, NIME.

[247]  Hiroshi Ishii,et al.  Audiopad: A Tag-based Interface for Musical Performance , 2002, NIME.

[248]  Shlomo Dubnov,et al.  The topos of music: geometric logic of concepts, theory, and performance , 2005 .

[249]  Thomas P. Rohrer The science and psychology of music performance: creative strategies for teaching and learning , 2004 .

[250]  Jean Laroche,et al.  Improved phase vocoder time-scale modification of audio , 1999, IEEE Trans. Speech Audio Process..

[251]  Lawrence R. Rabiner,et al.  Applications of a nonlinear smoothing algorithm to speech processing , 1975 .

[252]  Anders Friberg,et al.  Rules for automated performance of ensemble music , 1987 .

[253]  G. Johansson Visual perception of biological motion and a model for its analysis , 1973 .

[254]  Joseph A. Sarlo GrIPD: A Graphical Interface Editing Tool and Run-time Environment for Pure Data , 2003, ICMC.

[255]  C. Krumhansl,et al.  Tracing the dynamic changes in perceived tonal organization in a spatial representation of musical keys. , 1982 .

[256]  Malcolm Slaney,et al.  Automatic audio morphing , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

[257]  François Pachet,et al.  A Combinatorial Approach to Content-Based Music Selection , 2000, IEEE Multim..

[258]  Anssi Klapuri,et al.  Signal Processing Methods for the Automatic Transcription of Music , 2004 .

[259]  Fred Lerdahl Pitch-space journeys in two Chopin preludes. , 1992 .

[260]  J. Sloboda,et al.  Music and emotion: Theory and research , 2001 .

[261]  B H Repp,et al.  Acoustics, perception, and production of legato articulation on a computer-controlled grand piano. , 1997, The Journal of the Acoustical Society of America.

[262]  Bruno H. Repp,et al.  Pedal Timing and Tempo in Expressive Piano Performance: A Preliminary Investigation , 1996 .

[263]  Robert J. Logan,et al.  Perception of acoustic source characteristics: walking sounds. , 1991, The Journal of the Acoustical Society of America.

[264]  Eric D. Scheirer,et al.  Using musical knowledge to extract expressive performance information from audio recordings , 1998 .

[265]  Marvin Minsky,et al.  A Conversation with Marvin Minsky , 1992, AI Mag..