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Proceedings of the First International Workshop on Deep Learning and Music, joint with IJCNN, Anchorage, Alaska

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Proceedings of the First International Workshop on Deep Learning and Music, joint with IJCNN, Anchorage, Alaska
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  Proceedings of the firstInternational Workshop on DeepLearning and Music DLM2017 Joint with the International Joint Conference onNeural Networks (IJCNN) 18-19 May, 2017Anchorage, Alaska Dorien Herremans Queen Mary University of London Ching-Hua Chuan University of North Florida  Published on May 14th, 2017Editors: Dorien Herremans and Ching-Hua ChuanDOI: 10.13140/RG.2.2.22227.99364/1  Contents Technical program 31 About the workshop 4 Topic . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.1 Organizers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.2 Technical Committee . . . . . . . . . . . . . . . . . . . . . . . 5 I Invited Speakers 6 Dr. Oriol Nieto – Long Tail Music Recommendation With DeepArchitectures . . . . . . . . . . . . . . . . . . . . . . . . . . . 7Dr. Kat Agres – The intersection of neural networks and musiccognition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8Prof. Sageev Oore – Generative Models for Music . . . . . . . . . . 9 II Long talks 10 Modeling Musical Context with Word2vec . . . . . . . . . . . . . . 11Chord Label Personalization through Deep Learning of IntegratedHarmonic Interval-based Representations . . . . . . . . . . . 19Music Signal Processing Using Vector Product Neural Networks . . 26Vision-based Detection of Acoustic Timed Events: a Case Studyon Clarinet Note Onsets . . . . . . . . . . . . . . . . . . . . . 31Audio spectrogram representations for processing with Convolu-tional Neural Networks . . . . . . . . . . . . . . . . . . . . . . 37 III Short talks 42 Talking Drums: Generating drum grooves with neural networks . . 431  Modifcation of Musical Signals Based on Genre Classification Con-volutional Neural Network . . . . . . . . . . . . . . . . . . . . 48Machine listening intelligence . . . . . . . . . . . . . . . . . . . . . 50Toward Inverse Control of Physics-Based Sound Synthesis . . . . . 56 Proceedings of the First International Workshop on Deep Learning for Music,Anchorage, US, 18-19 May, 2017  –2–
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