J. Abeßer, S. Balke, K. Frieler, M. Pfleiderer, and M. Müller, Deep Learning for Jazz Walking Bass Transcription, 2017.

S. Balke, J. Driedger, J. Abeßer, C. Dittmar, and M. Müller, Towards Evaluating Multiple Predominant Melody Annotations in Jazz Recordings, pp.246-252, 2016.

D. Basaran, S. Essid, and G. Peeters, Main Melody Estimation with Source-Filter NMF and CRNN, 19th International Society for Music Information Retrieval Conference (ISMIR), 2018.

P. F. Berliner, Thinking in Jazz. The Infinite Art of Improvisation, 1994.

R. M. Bittner, B. Mcfee, J. Salamon, P. Li, and J. P. Bello, Deep salience representations for $F_0$ estimation in polyphonic music, 18th International Society for Music Information Retrieval Conference (ISMIR), 2017.

R. M. Bittner, J. Salamon, S. Essid, and J. P. Bello, Melody extraction by contour classifi-cation, 15th International Society for Music Information Retrieval Conference (ISMIR), 2015.

J. J. Bosch, R. M. Bittner, J. Salamon, and E. Gómez, A Comparison of Melody Extraction Methods Based on Source-Filter Modelling, 17th International Society for Music Information Retrieval Conference (ISMIR), 2016.

J. L. Durrieu, B. David, and G. Richard, A Musically Motivated Mid-Level Representation for Pitch Estimation and Musical Audio Source Separation, IEEE Journal of Selected Topics in Signal Processing, vol.5, pp.1180-1191, 2011.

J. L. Durrieu, G. Richard, B. David, and C. Fevotte, Source/Filter Model for Unsupervised Main Melody Extraction From Polyphonic Audio Signals, IEEE Transactions on Audio, Speech, and Language Processing, vol.18, issue.3, pp.564-575, 2010.

P. Fraisse, The psychology of time, 1963.

K. Frieler, F. Höger, and M. Pfleiderer, Anatomy of a Lick: Structure & Variants, History & Transmission, Book of Abstracts: Digital Humanities, 2019.

K. Frieler, F. Höger, M. Pfleiderer, and S. Dixon, Two web applications for exploring melodic patterns in jazz solos, Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR), 2018.

C. J. Brian and . Moore, Hearing, 1995.

D. Müllensiefen and K. Frieler, Cognitive Adequacy in the Measurement of Melodic Similarity: Algorithmic vs, Human Judgments. Computing in Musicology, vol.13, pp.147-176, 2004.

D. Müllensiefen and K. Frieler, Modelling Experts' Notion of Melodic Similarity. Musicae Scientiae: Similarity Perception in Listening to Music Discussion Forum, vol.4, pp.183-210, 2007.

M. Norgaard, How Jazz Musicians Improvise: The Central Role of Auditory and Motor Patterns, An Interdisciplinary Journal, vol.31, pp.271-287, 2014.

T. Owens, Charlie Parker. Techniques of Improvisation, 1974.

K. Papineni, S. Roukos, T. Ward, and W. Zhu, BLEU: a Method for Automatic Evaluation of Machine Translation, Proceedings of the 40th Annual Meeting on Association for Computational Linguistics, pp.311-318, 2002.

H. Park and C. D. Yoo, Melody extraction and detection through LSTM-RNN with harmonic sum loss, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.2766-2770, 2017.

M. Pfleiderer, K. Frieler, and J. Abeßer, 2017. Inside the Jazzomat -New Perspectives for Jazz Research. Schott Campus

C. Raffel, B. Mcfee, E. J. Humphrey, J. Salamon, O. Nieto et al., mir_eval: A transparent implementation of common MIR metrics, Proceedings of the 15th International Society for Music Information Retrieval Conference, ISMIR. Citeseer, 2014.

M. P. Ryynanen and A. Klapuri, Polyphonic music transcription using note event modeling, IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, pp.319-322, 2005.

J. Salamon and E. Gomez, Melody Extraction From Polyphonic Music Signals Using Pitch Contour Characteristics, IEEE Transactions on Audio, Speech, and Language Processing, vol.20, pp.1759-1770, 2012.

L. Su, Vocal melody extraction using patch-based CNN, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing, 2018.

, IEEE, pp.371-375

. Pieter-v-van-kranenburg, A computational approach to content-based retrieval of folk song melodies, 2010.

A. Volk and . Peter-van-kranenburg, Melodic similarity among folk songs: An annotation study on similarity-based categorization in music, Musicae Scientiae, vol.16, pp.317-339, 2012.