Search Results - "Fazekas, György"

On Performance and Perceived Effort in Trail Runners Using Sensor Control to Generate Biosynchronous Music by Williams, Duncan, Fazenda, Bruno, Williamson, Victoria, Fazekas, György

“…Music has been shown to be capable of improving runners' performance in treadmill and laboratory-based experiments. This paper evaluates a generative music…”
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Convolutional recurrent neural networks for music classification by Keunwoo Choi, Fazekas, Gyorgy, Sandler, Mark, Kyunghyun Cho

“…We introduce a convolutional recurrent neural network (CRNN) for music tagging. CRNNs take advantage of convolutional neural networks (CNNs) for local feature…”
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Cross-Reactive Immunity to Clade 2 Strains of Influenza Virus A Subtype H5N1 Induced in Adults and Elderly Patients by Fluval, a Prototype Pandemic Influenza Virus Vaccine Derived by Reverse Genetics, Formulated with a Phosphate Adjuvant, and Directed to Clade 1 Strains by Fazekas, György, Martosne-Mendi, Rita, Jankovics, Istvan, Szilvasy, Istvan, Vajo, Zoltan

“…Classifications Services CVI Citing Articles Google Scholar PubMed Related Content Social Bookmarking CiteULike Delicious Digg Facebook Google+ Mendeley Reddit…”
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The Smart Musical Instruments Ontology by Turchet, Luca, Bouquet, Paolo, Molinari, Andrea, Fazekas, György

“…The Smart Musical Instruments (SMIs) are an emerging category of musical instruments that belongs to the wider class of Musical Things within the Internet of…”
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Disembodied Timbres: A Study on Semantically Prompted FM Synthesis by Hayes, Ben, Saitis, Charalampos, Fazekas, György

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Learning Music Audio Representations Via Weak Language Supervision by Manco, Ilaria, Benetos, Emmanouil, Quinton, Elio, Fazekas, Gyorgy

“…Audio representations for music information retrieval are typically learned via supervised learning in a task-specific fashion. Although effective at producing…”
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The Internet of Musical Things Ontology by Turchet, Luca, Antoniazzi, Francesco, Viola, Fabio, Giunchiglia, Fausto, Fazekas, György

“…The Internet of Musical Things (IoMusT) is an emerging research area consisting of the extension of the Internet of Things paradigm to the music domain…”
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Intelligent Control Method for the Dynamic Range Compressor: A User Study by Singh, Shubhr, Bromham, Gary, Sheng, Di, Fazekas, György

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Mesostructures: Beyond Spectrogram Loss in Differentiable Time–Frequency Analysis by Vahidi, Cyrus, Han, Han, Wang, Changhong, Lagrange, Mathieu, Fazekas, György, Lostanlen, Vincent

“…Computer musicians refer to mesostructures as the intermediate levels of articulation between the microstructure of waveshapes and the macrostructure of…”
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Sinusoidal Frequency Estimation by Gradient Descent by Hayes, Ben, Saitis, Charalampos, Fazekas, Gyorgy

“…Sinusoidal parameter estimation is a fundamental task in applications from spectral analysis to time-series forecasting. Estimating the sinusoidal frequency…”
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Evaluation of Vaccine Immunogenicity-Correlates to Real-World Protection: Influenza by Laszlofy, Csaba, Fazekas, Gyorgy, Barath, Zoltan, Vajo, Zoltan

“…Recent events highlighted that, despite decades of studying vaccine immunogenicity and efforts toward finding correlates of protection, evaluating real-world…”
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The Internet of Sounds: Convergent Trends, Insights and Future Directions by Turchet, Luca, Lagrange, Mathieu, Rottondi, Cristina, Fazekas, Gyorgy, Peters, Nils, Ostergaard, Jan, Font, Frederic, Backstrom, Tom, Fischione, Carlo

“…Current sound-based practices and systems developed in both academia and industry point to convergent research trends that bring together the field of Sound…”
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The Effects of Noisy Labels on Deep Convolutional Neural Networks for Music Tagging by Choi, Keunwoo, Fazekas, Gyorgy, Cho, Kyunghyun, Sandler, Mark

“…Deep neural networks (DNNs) have been successfully applied to music classification including music tagging. However, there are several open questions regarding…”
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Measurement, Recognition, and Visualization of Piano Pedaling Gestures and Techniques by Liang, Beici, Fazekas, György, Sandler, Mark

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The Role of Communication and Reference Songs in the Mixing Process: Insights From Professional Mix Engineers by Sai Vanka, Soumya, Safi, Maryam, Rolland, Jean-Baptiste, Fazekas, György

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Special Issue on Deep Learning for Applications in Acoustics: Modeling, Synthesis, and Listening by Gabrielli, Leonardo, Fazekas, György, Nam, Juhan

“…The recent introduction of Deep Learning has led to a vast array of breakthroughs in many fields of science and engineering [...]…”
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A review of differentiable digital signal processing for music and speech synthesis by Hayes, Ben, Shier, Jordie, Fazekas, György, McPherson, Andrew, Saitis, Charalampos

“…The term “differentiable digital signal processing” describes a family of techniques in which loss function gradients are backpropagated through digital signal…”
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The Internet of Audio Things: State of the Art, Vision, and Challenges by Turchet, Luca, Fazekas, Gyorgy, Lagrange, Mathieu, Ghadikolaei, Hossein S., Fischione, Carlo

“…The Internet of Audio Things (IoAuT) is an emerging research field positioned at the intersection of the Internet of Things, sound and music computing,…”
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Rigid-Body Sound Synthesis with Differentiable Modal Resonators by Diaz, Rodrigo, Hayes, Ben, Saitis, Charalampos, Fazekas, Gyorgy, Sandler, Mark

“…Physical models of rigid bodies are used for sound synthesis in applications from virtual environments to music production. Traditional methods, such as modal…”
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HIPI: A Hierarchical Performer Identification Model Based on Symbolic Representation of Music by Mahmud Rafee, Syed Rifat, Fazekas, Gyorgy, Wiggins, Geraint

“…Automatic Performer Identification from the symbolic representation of music has been a challenging topic in Music Information Retrieval (MIR).In this study,…”
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