Biblio
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Understanding expressive music performance using genetic algorithms.
Lecture Notes in Computer Science 3449. Abstract
(2005).
Understanding expressive transformations in saxophone jazz performances using inductive machine learning.
Sound and Music Computing Conference. Abstract
(2004).
Using concatenative synthesis for expressive performance in jazz saxophone.
International Computer Music Conference. Abstract
(2006).
Using morphological description for generic sound retrieval.
International Conference on Music Information Retrieval. Abstract
(2003).
A Wavenet for Speech Denoising.
43rd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2018). Abstract
(2018).
Performance to Score Sequence Matching for Automatic Ornament Detection in Jazz Music.
International Conference on New Music Concepts. Abstract
(2015).
Analysis/synthesis comparison.
Organized Sound. 5, pp 173-189. Abstract
(2000).
An approach to predicting bowing control parameter contours in violin performance.
Intelligent Data Analysis. 14(5), 587-599.
(2010).
Automatic Description Of Music For Analyzing Music Productions: A Case Study In Detecting Mellotron Sounds In Recordings.
Journal on the Art of Record Production.
(2013).
Automatic Performer Identification in Celtic Violin Audio Recordings.
Journal of New Music Research. 40(2), 165-174. Abstract
(2011).
Automatic performer identification in commercial monophonic Jazz performances.
Pattern Recognition Letters. 31(12), 1514-1523.
(2010).
Automatic Tonic Identification in Indian Art Music: Approaches and Evaluation.
Journal of New Music Research. 43(1), 53-71. Abstract
(2014).
Constraint-based synchronization and verification of distributed Java programs.
Lecture Notes in Computer Science . 3132, Abstract
(2004).
Discovering Expressive Transformation Rules from Saxophone Jazz Performances.
Journal of New Music Research. 34, 319-330. Abstract
(2005).
Ecological acoustics perspective for content-based retrieval of environmental sounds.
EURASIP Journal on Audio, Speech, and Music Processing. 2010, 960863 . Abstract
(2010).
Environmental sound recognition using short-time feature aggregation.
Journal of Intelligent Information Systems. 1-19.
(2017).
ESSENTIA: an open source library for audio analysis.
ACM SIGMM Records. 6(1), Abstract
(2014).
Evaluation of a Sound Quality Visual Feedback System for Bow Learning Technique in Violin Beginners: An EEG Study.
Frontiers in Psychology. 10(Performance Science), Abstract
(2019).
Expressive Concatenative Synthesis by Reusing Samples from Real Performance Recordings.
Computer Music Journal. 33(4), 23-42. Abstract
(2009).
The EyeHarp: A Gaze-Controlled Digital Musical Instrument.
Frontiers in Psychology . 7,
(2016).
Forum on transcription.
Twentieth-Century Music. 11(1), 101-161.
(2014).
A Genetic Rule-based Expressive Performance Model for Jazz Saxophone.
Computer Music Journal. 32, 38-50. Abstract
(2008).
A Machine learning approach to discover rules for expressive performance actions in jazz guitar music.
Frontiers in Psycology. 7, 1965. Abstract
(2016).
Melody Extraction from Polyphonic Music Signals: Approaches, Applications and Challenges.
IEEE Signal Processing Magazine. 31(2), 118-134. Abstract
(2014).