Music and Artificial Intelligence [[electronic resource] ] : Second International Conference, ICMAI 2002, Edinburgh, Scotland, UK, September 12-14, 2002, Proceedings / / edited by Christina Anagnostopoulou, Miguel Ferrand, Alan Smaill

• Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2002
• Edizione: 1st ed. 2002.
• Descrizione fisica: 1 online resource (VIII, 212 p.)
• Disciplina: 781
• Soggetto topico: Artificial intelligence; Music; Application software; Pattern recognition; Artificial Intelligence; Computer Appl. in Arts and Humanities; Pattern Recognition
• Persona (resp. second.): AnagnostopoulouChristina; FerrandMiguel; SmaillAlan
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Invited Talks -- Structure and Interpretation of Music Concepts: Music from a Computational Perspective -- Expressive Gesture -- Regular Contributions -- A General Parsing Model for Music and Language -- The Spiral Array: An Algorithm for Determining Key Boundaries -- Representation and Discovery of Vertical Patterns in Music -- Discovering Musical Structure in Audio Recordings -- Real Time Tracking and Visualisation of Musical Expression -- Automatic Classification of Drum Sounds: A Comparison of Feature Selection Methods and Classification Techniques -- Some Formal Problems with Schenkerian Representations of Tonal Structure -- Respiration Reflecting Musical Expression: Analysis of Respiration during Musical Performance by Inductive Logic Programming -- Mimetic Development of Intonation -- Interacting with a Musical Learning System: The Continuator -- Recognition of Isolated Musical Patterns Using Hidden Markov Models -- A Model for the Perception of Tonal Melodies -- Control Language for Harmonisation Process -- Evaluating Melodic Segmentation -- Combining Grammar-Based and Memory-Based Models of Perception of Time Signature and Phase -- A Bayesian Approach to Key-Finding.
• Titolo autorizzato: Music and Artificial Intelligence
• ISBN: 3-540-45722-4
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996465437203316
• Lo trovi qui: Univ. di Salerno
• Serie: Lecture Notes in Artificial Intelligence ; ; 2445