IEEE

Talk: May 29, 2015: Bayesian Models for Computational Rhythm Analysis in Indian Art Music

Department of Electrical Communication Engineering and
Department of Electrical Engineering,
Indian Institute of Science, Bangalore

invite you to a talk by
Ajay Srinivasamurthy
Music Technology Group, Universitat Pompeu Fabra
Barcelona, Spain
on

Bayesian Models for Computational Rhythm Analysis in Indian Art Music

Time & Date: 11 AM, May 29, 2015.
Venue: Golden Jubilee Hall, Department of Electrical Communication Engineering (ECE)

Abstract
Rhythm in Indian art music (Carnatic and Hindustani music) is organized in the framework of tāla (or tāl). A tala consists of time cycles that provide a broad structure for repetition of music phrases, motifs and improvisations. Detecting different events such as the beats and the sama (downbeats) within a tāla cycle and tracking them through a piece of audio recording, referred to as meter inference, is an important computational rhythm analysis task in Indian Art Music. Useful in itself, it additionally provides a basis for further computational analyses such as structural analysis and extraction of rhythmic patterns. The talk mainly focuses on my recent work with Bayesian models for meter inference in Carnatic music. Efficient approximate inference in these models are presented to overcome the limitations of exact inference. Further,I will discuss extensions of these models that generalize to other music styles and different metrical structures.

Biography of the Speaker
Ajay is a PhD student at the Music Technology Group, Universitat Pompeu Fabra, Barcelona, Spain. He is a part of the CompMusic project led by Prof. Xavier Serra, where he works on rhythm related research problems in Indian Art Music and Beijing Opera. He is currently working towards developing signal processing and machine learning approaches for the analysis and characterization of rhythmic structures and patterns from audio recordings. Prior to joining UPF, he was a research assistant at the Georgia Tech Center for Music Technology, Atlanta, USA and worked at the mobile music startup Smule Inc. He has a masters in Signal Processing from the Indian Institute of Science, Bangalore, India and a B.Tech in Electronics and Communication Engineering from National Institute of Technology Karnataka, Surathkal, India.

Co-sponsors of the event:
IEEE Bangalore section
IEEE SP Society Bangalore Chapter

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