Items where City Author is "Weyde, T. E."

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Number of items: 38.

Article

Elmsley (né Lambert), A., Weyde, T. & Armstrong, N. (2017). Generating Time: Rhythmic Perception, Prediction and Production with Recurrent Neural Networks. Journal of Creative Music Systems, 1(2), doi: 10.5920/JCMS.2017.04

Abdallah, S., Benetos, E., Gold, N., Hargreaves, S., Weyde, T. & Wolff, D. (2017). The digital music lab: A big data infrastructure for digital musicology. Journal on Computing and Cultural Heritage, 10(1), 2.. doi: 10.1145/2983918

Sarkar, S., Weyde, T., Garcez, A., Slabaugh, G.G., Dragicevic, S. & Percy, C. (2016). Accuracy and interpretability trade-offs in machine learning applied to safer gambling. CEUR Workshop Proceedings, 1773,

Cherla, S., Tran, S.N., Weyde, T. & Garcez, A. (2016). Generalising the Discriminative Restricted Boltzmann Machine.

Percy, C., Garcez, A., Dragicevic, S., França, M. V. M., Slabaugh, G.G. & Weyde, T. (2016). The Need for Knowledge Extraction: Understanding Harmful Gambling Behavior with Neural Networks. Frontiers in Artificial Intelligence and Applications, 285, pp. 974-981. doi: 10.3233/978-1-61499-672-9-974

de Valk, R. & Weyde, T. (2015). Bringing 'Musicque into the tableture': machine-learning models for polyphonic transcription of 16th-century lute tablature. Early Music, 43(4), pp. 563-576. doi: 10.1093/em/cau102

Tidhar, D., Dixon, S., Benetos, E. & Weyde, T. (2014). The temperament police. Early Music, 42(4), pp. 579-590. doi: 10.1093/em/cau101

Wolff, D. & Weyde, T. (2014). Learning music similarity from relative user ratings. Information Retrieval, 17(2), pp. 109-136. doi: 10.1007/s10791-013-9229-0

Sigtia, S., Benetos, E., Boulanger-Lewandowski, N., Weyde, T., Garcez, A. & Dixon, S. (2014). A Hybrid Recurrent Neural Network For Music Transcription. CoRR, 14(11), p. 1623.

Velarde, G., Weyde, T. & Meredith, D. (2013). An approach to melodic segmentation and classification based on filtering with the Haar wavelet. Journal of New Music Research, 42(4), pp. 325-345. doi: 10.1080/09298215.2013.841713

Wolff, D. & Weyde, T. (2013). Learning music similarity from relative user ratings. Information Retrieval, 17(2), pp. 109-136. doi: 10.1007/s10791-013-9229-0

Weyde, T., Slabaugh, G.G., Fontaine, G. & Bederna, C. (2013). Predicting aquaplaning performance from tyre profile images with machine learning. Lecture Notes in Computer Science, 7950 L, pp. 133-142. doi: 10.1007/978-3-642-39094-4_16

Ng, K.-C., Weyde, T., Larkin, O., Neubarth, K., Koerselman, T. & Ong, B. (2007). 3d augmented mirror: a multimodal interface for string instrument learning and teaching with gesture support. ICMI '07 Proceedings of the 9th international conference on Multimodal interfaces, pp. 339-345. doi: 10.1145/1322192.1322252

Book Section

Lambert, A., Weyde, T. & Armstrong, N. (2015). Perceiving and predicting expressive rhythm with recurrent neural networks. In: Proceedings of the 12th International Conference in Sound and Music Computing. . Maynooth, Ireland: SMC15. ISBN 9780992746629

Lambert, A., Weyde, T. & Armstrong, N. (2014). Beyond the Beat: Towards Metre, Rhythm and Melody Modelling with Hybrid Oscillator Networks. (2014 ed.) In: A. Georgaki & G. Kouroupetroglou (Eds.), Music Technology Meets Philosophy: from Digital Echos to Virtual Ethos. Proceedings of ICMC, SMC. (pp. 485-490). San Francisco: International Computer Music Association.

Wolff, D. & Weyde, T. (2013). Combining Sources of Description for Approximating Music Similarity Ratings. In: M. Detyniecki, A. García-Serrano, A. Nürnberger & S. Stober (Eds.), Adaptive Multimedia Retrieval. Large-Scale Multimedia Retrieval and Evaluation. Lecture Notes in Computer Science, 7836. (pp. 114-124). Springer. ISBN 9783642374241

Cherla, S., Weyde, T., Garcez, A. & Pearce, M. (2013). A Distributed Model For Multiple-Viewpoint Melodic Prediction. In: A. de Souza Britto Jr, F. Gouyon & S. Dixon (Eds.), Proceedings of the 14th International Society for Music Information Retrieval Conference. (pp. 15-20). International Society for Music Information Retrieval. ISBN 978-0-615-90065-0

Conference or Workshop Item

Sigtia, S., Benetos, E., Boulanger-Lewandowski, N., Weyde, T., Garcez, A. & Dixon, S. (2015). A Hybrid Recurrent Neural Network For Music Transcription. Paper presented at the 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015, 19-04-2015 - 24-04-2015, Brisbane, Australia.

Weyde, T., Cottrell, S.J., Dykes, J., Benetos, E., Wolff, D., Tidhar, D., Gold, N., Abdallah, S., Plumbley, M. D., Dixon, S., Barthet, M., Mahey, M., Tovell, A. & Alancar-Brayner, A. (2014). Big Data for Musicology. Paper presented at the 1st International Digital Libraries for Musicology workshop, 12-09-2014 - 12-09-2014, London, UK.

Wolff, D., Tidhar, D., Benetos, E., Dumon, E., Cherla, S. & Weyde, T. (2014). Incremental dataset definition for large scale musicological research. Paper presented at the 1st International Digital Libraries for Musicology workshop, 12-09-2014 - 12-09-2014, London, UK.

Benetos, E., Ewert, S. & Weyde, T. (2014). Automatic transcription of pitched and unpitched sounds from polyphonic music. Paper presented at the IEEE International Conference on Acoustics, Speech, and Signal Processing, 4 - 9 May 2014, Florence, Italy.

Barthet, M., Plumbley, M. D., Kachkaev, A., Dykes, J., Wolff, D. & Weyde, T. (2014). Big Chord Data Extraction and Mining. Paper presented at the 9th Conference on Interdisciplinary Musicology – CIM14, 03-12-2014 - 06-12-2014, Staatliches Institut für Musikforschung, Berlin, Germany.

Benetos, E., Jansson, A. & Weyde, T. (2014). Improving automatic music transcription through key detection. Paper presented at the AES 53rd International Conference on Semantic Audio, 27 - 29 Jan 2014, London, UK.

Sigtia, S., Benetos, E., Cherla, S., Weyde, T., Garcez, A. & Dixon, S. (2014). An RNN-based Music Language Model for Improving Automatic Music Transcription. Paper presented at the 15th International Society for Music Information Retrieval Conference (ISMIR), 27-10-2014 - 31-10-2014, Taipei, Taiwan.

Lambert, A., Weyde, T. & Armstrong, N. (2014). Studying the Effect of Metre Perception on Rhythm and Melody Modelling with LSTMs. Paper presented at the 3rd International Workshop on Musical Metacreation, held at the 10th Artificial Intelligence and Interactive Digital Entertainment Conference, 03-10-2014 - 07-10-2014, Raleigh, USA.

Benetos, E., Badeau, R., Weyde, T. & Richard, G. (2014). Template Adaptation for Improving Automatic Music Transcription. Paper presented at the 15th International Society for Music Information Retrieval Conference (ISMIR), 27-10-2014 - 31-10-2014, Taipei, Taiwan.

Kachkaev, A., Wolff, D., Barthet, M., Tidhar, D., Plumbley, M. D., Dykes, J. & Weyde, T. (2014). Visualising Chord Progressions in Music Collections: A Big Data Approach. Paper presented at the 9th Conference on Interdisciplinary Musicology – CIM14, 03-12-2014 - 06-12-2014, Staatliches Institut für Musikforschung, Berlin, Germany.

Benetos, E. & Weyde, T. (2013). Explicit duration hidden Markov models for multiple-instrument polyphonic music transcription. Paper presented at the 14th International Society for Music Information Retrieval Conference, 4 - 8 Nov 2013, Curitiba, Brazil.

Cherla, S., Weyde, T., Garcez, A. & Pearce, M. (2013). Learning Distributed Representations for Multiple-Viewpoint Melodic Prediction. Paper presented at the 14th International Society for Music Information Retrieval Conference, 4 - 8 Nov 2013, Curtiba, PR, Brazil.

Benetos, E., Cherla, S. & Weyde, T. (2013). An efficient shift-invariant model for polyphonic music transcription. Paper presented at the MML 2013: 6th International Workshop on Machine Learning and Music, 23 Sep 2013, Prague, Czech Republic.

de Valk, R., Weyde, T. & Benetos, E. (2013). A machine learning approach to voice separation in lute tablature. Paper presented at the 14th International Society for Music Information Retrieval Conference, 4 - 8 Nov 2013, Curitiba, Brazil.

Wolff, D., Stober, S., Nürnberger, A. & Weyde, T. (2012). A Systematic Comparison of Music Similarity Adaptation Approaches. Paper presented at the 13th International Society for Music Information Retrieval Conference (ISMIR 2012), 8 - 12 Oct 2012, Porto, Portugal.

Weyde, T. & Wolff, D. (2011). Adapting Metrics for Music Similarity Using Comparative Ratings. Paper presented at the 12th International Society for Music Information, 24 - 28 Oct 2011, Miami, FL, US.

Wissmann, Jens, Weyde, T. & Conklin, D. (2010). Representing chord sequences in OWL. Paper presented at the Sound and Music Computing Conference 2010, 21 - 24 June 2010, Barcelona, Spain.

Weyde, T. (2007). Automatic Semantic Annotation of Music with Harmonic Structure. Paper presented at the 4th Sound and Music Computing Conference, 11 - 13 Jul 2007, Lefkada, Greece.

Weyde, T., Ng, K., Neubarth, K., Larkin, O., Koerselman, T. & Ong, B. (2007). A Systemic Approach to Music Performance Learning with Multimodal Technology. Paper presented at the Support E-Learning Conference, 2007, Quebec City, Canada.

Weyde, T. (2002). Integrating Segmentation and Similarity in Melodic Analysis. Paper presented at the 7th International Conference on Music Perception & Cognition - ICMPC7, 17 - 21 Jul 2002, Sydney, Australia.

Report

Honingh, A. & Weyde, T. (2008). Integrating Convexity and Compactness into the ISSM: Melodic Analysis of Music (Report No. TR/2008/DOC/03). .

This list was generated on Wed Nov 22 06:13:46 2017 UTC.