Scholar
David Dalmazzo
Google Scholar ID: VhatAgwAAAAJ
KTH, Speech Music and Hearing. Music Technology Group, Pompeu Fabra University
Citations & Impact
Citations
160
H-index
7
i10-index
6
Publications
20
Co-authors
0
Contact
Publications
Resume
Academic Achievements
- Participated in several projects including The Music Dimensions, Academia del Lincei immersive installation, MID: Ontology 'Picasso 1936 Exhibition', Specs: BrainX3, DDS: SanDisk, DDS: Internet Para Todos (The Game), and Onionlab: The Voyage of Flavour.
Research Experience
- He has been involved in the TELMI project, applying machine learning techniques to music gesture recognition, utilizing tools such as Sklearn, HHMM, or Keras-TensorFlow.
Education
- Currently pursuing his PhD, where he supports programming courses based on Python and gives workshops on Interactive Design Applications using Processing, Python or Max.
Background
- His research interests include applying machine learning to music gesture recognition, music composition, and interactive design. He is also a jazz guitarist.
Miscellany
- Enjoys using Max/MSP for creating responsive sounds and composing electronic music; also works with C++ open-source tools like Cinder and OpenFrameworks, along with coding in Processing.