Multimodal Musician Recognition
Main Authors: | Hochenbaum, Jordan, Kapur, Ajay, Wright, Matthew |
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Format: | Proceeding |
Terbitan: |
, 2010
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Online Access: |
https://zenodo.org/record/1177805 |
Daftar Isi:
- This research is an initial effort in showing how a multimodal approach can improve systems for gaining insight into a musician's practice and technique. Embedding a variety of sensors inside musical instruments and synchronously recording the sensors' data along with audio, we gather a database of gestural information from multiple performers, then use machine-learning techniques to recognize which musician is performing. Our multimodal approach (using both audio and sensor data) yields promising performer classification results, which we see as a first step in a larger effort to gain insight into musicians' practice and technique.