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Bas De Haas is listed as CEO and Founder of Chordify at Chordify - Tune into chords, based in The Randstad, Netherlands. AeroLeads shows a work email signal at chordify.net and a matched LinkedIn profile for Bas De Haas.
Bas De Haas previously worked as CEO, Founder, Music Informatics Researcher at Chordify - Tune Into Chords and Postdoctoral Guest Researcher at Utrecht University. Bas De Haas holds Master, Cognitive Artificial Intelligence from Utrecht University.
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Bas de Haas is CEO and founder of Chordify. After a PhD in music technology, Bas co-founded Chordify. Chordify is a music e-learning platform that transforms any song into chords. With Chordify’s state-of-the-art music technology we reshape music education by creating affordable, engaging and personalized products, enabling everyone to become a musician.
Listed skills include Computer Science, Latex, Music, Artificial Intelligence, and 16 others.
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Utrecht Area, Netherlands
After Bas finished his PhD in computer science at Utrecht University in 2011, he brought together this team of music enthusiasts to create Chordify. Bas’ research focuses on music information retrieval, digital signal processing and machine learning. Bas is passionate about music, playing guitar, new technologies and entrepreneurship.
Utrecht Area, Netherlands
W. Bas de Haas finished his PhD thesis at Utrecht University in 2011. He works on Music Information Retrieval and specifically focuses on developing methods that are founded in music cognition and perception. Most of his contributions are concerned with the analysis and similarity of tonal harmony. Currently, Bas is involved in the MUSIVA project which investigates music similarity grounded in variation.
I've obtained a PhD in Music Information Retrieval at the department of Information and Computing Science of Utrecht University. Music Information Retrieval is a broad research area which aims to develop methods for keeping large repositories of musical data accessible and maintainable. Within MIR the similarity of musical information plays a central role. In my PhD thesis I investigate various ways to estimate similarity of tonal harmony between pieces of music. The developed similarity measures, which can be applied to both audio and symbolic data, are rooted in music cognitive as well as music theoretical models. The developed similarity measures are evaluated on large corpora of different musical styles ranging from Baroque to jazz and pop.
I have been working part-time as a freelance web developer often in collaboration with 945-ontwerp.
During my internship at the Music Cognition Group, Prof. Henkjan Honing taught me de basics of doing scientific research.
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Bas De Haas works for Chordify - Tune into chords.
Bas De Haas is listed as CEO and Founder of Chordify at Chordify - Tune into chords.
AeroLeads has found 1 work email signal at @chordify.net for Bas De Haas at Chordify - Tune into chords.
Bas De Haas is based in The Randstad, Netherlands while working with Chordify - Tune into chords.
Bas De Haas has worked for Chordify - Tune Into Chords, Utrecht University, Universiteit Utrecht, Self-Employed, and Universiteit Van Amsterdam.
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Bas De Haas holds Master, Cognitive Artificial Intelligence from Utrecht University.
Bas De Haas is listed with skills including Computer Science, Latex, Music, Artificial Intelligence, Music Information Retrieval, Java, Haskell, and Signal Processing.
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