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    Author
    Dixon, S (79)
    Benetos, E (19)IEEE (15)Mauch, M (11)Ewert, S (6)Klapuri, A (6)Sigtia, S (6)Panteli, M (5)Sandler, M (5)Agrawal, R (4)... View MoreSubjectAutomatic music transcription (2)computational musicology (2)Convolutional Neural Networks (2)corpus analysis (2)Deep Learning (2)deep learning (2)Deep neural networks (2)MIR (2)Music Information Retrieval (2)Music information retrieval (2)... View MoreDate Issued2021 (5)2020 (4)2019 (10)2018 (8)2017 (10)2016 (9)2015 (8)2014 (14)2013 (5)2012 (1)
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    An End-to-End Neural Network for Polyphonic Piano Music Transcription 

    Sigtia, S; BENETOS, E; Dixon, S (IEEE, 2016-02)
    We present a supervised neural network model for polyphonic piano music transcription. The architecture of the proposed model is analogous to speech recognition systems and comprises an acoustic model and a music language ...
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    Identifying Cover Songs Using Information-Theoretic Measures of Similarity 

    Foster, P; Dixon, S; Klapuri, A (2015-06-01)
    This paper investigates methods for quantifying similarity between audio signals, specifically for the task of cover song detection. We consider an information-theoretic approach, where we compute pairwise measures of ...
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    Timbre-invariant Audio Features for Style Analysis of Classical Music 

    Weiss, C; Mauch, M; Dixon, S (2014)
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    A COMPARISON OF EXTENDED SOURCE-FILTER MODELS FOR MUSICAL SIGNAL RECONSTRUCTION 

    Cheng, T; Dixon, S; Mauch, M; Erlangen, IAL (2014)
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    A Demonstration of Hierarchical Structure Usage in Expressive Timing Analysis by Model Selection Tests 

    Li, S; Dixon, S; Plumbley, MD (2018-10-05)
    © 2018 Technical Committee on Control Theory, Chinese Association of Automation. Analysing expressive timing in performed music can help machine to perform various perceptual tasks such as identifying performers and ...
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    PERCEIVED AND INDUCED EMOTION RESPONSES TO POPULAR MUSIC: CATEGORICAL AND DIMENSIONAL MODELS 

    Song, Y; Dixon, S; Pearce, MT; Halpern, AR (2016-04)
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    A DETERMINISTIC ANNEALING EM ALGORITHM FOR AUTOMATIC MUSIC TRANSCRIPTION 

    Cheng, T; Dixon, S; Mauch, M (2013)
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    PYIN: A FUNDAMENTAL FREQUENCY ESTIMATOR USING PROBABILISTIC THRESHOLD DISTRIBUTIONS 

    Mauch, M; Dixon, S; IEEE (2014)
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    A Corpus-based Study Of Rhythm Patterns 

    Mauch, M; Dixon, S (2012)
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    Big Data for Musicology 

    Weyde, T; Cottrell, S; Dykes, J; Benetos, E; Wolff, D; Tidhar, D; Gold, N; Abdallah, S; Plumbley, M; Dixon, S;... (2014-09-12)
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