- Dates: December 12th - 16th, 2022
- Location: IIT Madras, Chennai (India)
- Teachers: Prof. Preeti Rao (IIT-B), Prof. Hema Murthy (IIT-M), Prof. Xavier Serra (UPF), Dr. Ajay Srinivasamurthy, Dr. Rafael Caro Repetto, Genís Plaja-Roglans, Thomas Nuttall, more teachers TBA
- Registration: Will open on September 15th (maximum 30 participants)
- Registration fees (covering lunches and coffee breaks): 2000 rupees for Indian students, 5000 rupees for the rest (accommodation in IITM hostels at student price will be available)
*This is a satellite event of the 23rd International Society for Music Information Retrieval Conference (ISMIR 2022) that will take place from December 4th - 8th, 2022 in Bengaluru (India).
A 5-day workshop to introduce the field of Computational Musicology while focusing on the study of Carnatic Music. By combining theoretical lectures with hands-on labs, the workshop is aimed at giving the participants the conceptual framework and practical tools needed to analyze and understand music signals using a variety of computational methodologies. The workshop is aimed at undergraduate or graduate students doing engineering, music, or social sciences, without prior experience in the topic but highly interested in acquiring the computational and musicological competencies needed to study music, in particular Carnatic Music.
The workshop will take place during Madras Music Season, the largest music festival of Carnatic Music. In the evenings, the participants will be able to attend a wide variety of Carnatic Music concerts.
Morning lectures topics:
- Introduction to CompMusic
- Introduction to Computational Musicology
- Introduction to Carnatic music
- Overview of research done in Carnatic music
- Rhythmic and melodic analysis of Carnatic music
- Creation of corpora and datasets for computational analysis
- Short invited talks on current research
Afternoon labs topics:
- Python programming for music analysis
- Practical timbre, rhythmic, melodic, and corpus analysis
- Team project to study particular musical elements using the Saraga dataset and specific python tools
For more information contact: email@example.com