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

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Number of items: 42.

Article

Weyde, T. ORCID: 0000-0001-8028-9905, Velarde, G., Meredith, D., Cancino Chacon, C. and Grachten, M. (2018). Convolution-based classification of audio and symbolic representations of music. Journal of New Music Research, doi: 10.1080/09298215.2018.1458885

Mahdi, A., Weyde, T. ORCID: 0000-0001-8028-9905 and Al-Jumeily, D. (2018). The FL-SMIA Network: A Novel Architecture for Time Series Prediction. 2017 10TH International Conference on Developments in eSystems Engingeering (DeSE), doi: 10.1109/DeSE.2017.42

Elmsley (né Lambert), A., Weyde, T. and 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. and 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. and 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. and Garcez, A. (2016). Generalising the Discriminative Restricted Boltzmann Machine.

Percy, C., Garcez, A., Dragicevic, S., França, M. V. M., Slabaugh, G.G. and 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. and 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. and Weyde, T. (2014). The temperament police. Early Music, 42(4), pp. 579-590. doi: 10.1093/em/cau101

Wolff, D. and 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. and Dixon, S. (2014). A Hybrid Recurrent Neural Network For Music Transcription. CoRR, 14(11), p. 1623.

Velarde, G., Weyde, T. and 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. and 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. and 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. and 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. and 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. and Armstrong, N. (2014). Beyond the Beat: Towards Metre, Rhythm and Melody Modelling with Hybrid Oscillator Networks. (2014 ed.) In: Georgaki, A. and Kouroupetroglou, G. (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. and Weyde, T. (2013). Combining Sources of Description for Approximating Music Similarity Ratings. In: Detyniecki, M., García-Serrano, A., Nürnberger, A. and Stober, S. (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. and Pearce, M. (2013). A Distributed Model For Multiple-Viewpoint Melodic Prediction. In: de Souza Britto Jr, A., Gouyon, F. and Dixon, S. (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

Kedyte, V., Panteli, M., Weyde, T. ORCID: 0000-0001-8028-9905 and Dixon, S. (2017). Geographical Origin Prediction of Folk Music Recordings from the United Kingdom. Paper presented at the 18th International Society for Music Information Retrieval Conference, 23-27 Oct 2017, Suzhou, China.

Jansson, A., Humphrey, E., Montecchio, N., Bittner, R., Kumar, A. and Weyde, T. ORCID: 0000-0001-8028-9905 (2017). Singing voice separation with deep U-Net convolutional networks. Paper presented at the 18th International Society for Music Information Retrieval Conference, 23-27 Oct 2017, Suzhou, China.

Sigtia, S., Benetos, E., Boulanger-Lewandowski, N., Weyde, T., Garcez, A. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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 Fri Oct 19 04:31:46 2018 UTC.