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A Convolutional Approach to Melody Line Identification in Symbolic Scores.

, , , и . ISMIR, стр. 924-931. (2019)

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Carlos Sanz Chacón

Carlos Eduardo Migueis

Carlos Eduardo Haro

Carlos Eduardo Pereira

Carlos Eduardo Vargas

 

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Basis-Function Modeling of Loudness Variations in Ensemble Performance., , и . CoRR, (2016)Sounding Out Reconstruction Error-Based Evaluation of Generative Models of Expressive Performance., , , и . DLfM, стр. 58-66. ACM, (2023)Developing Tonal Perception through Unsupervised Learning., , и . ISMIR, стр. 195-200. (2014)Pseudo-Supervised Training Improves Unsupervised Melody Segmentation., , и . IJCAI, стр. 2459-2465. AAAI Press, (2015)Symbolic Music Representations for Classification Tasks: A Systematic Evaluation., , , , и . ISMIR, стр. 848-858. (2023)Are we describing the same sound? An analysis of word embedding spaces of expressive piano performance., , , и . FIRE, стр. 58-66. ACM, (2023)Bounds for Bayesian network classifiers with reduced precision parameters., , и . ICASSP, стр. 3357-3361. IEEE, (2013)A Convolutional Approach to Melody Line Identification in Symbolic Scores., , , и . ISMIR, стр. 924-931. (2019)An Evaluation of Score Descriptors Combined with Non-linear Models of Expressive Dynamics in Music., и . Discovery Science, том 9356 из Lecture Notes in Computer Science, стр. 48-62. Springer, (2015)The Rach3 Dataset: Towards Data-Driven Analysis of Piano Performance Rehearsal., и . MMM (5), том 14565 из Lecture Notes in Computer Science, стр. 28-41. Springer, (2024)