|How Different is 'Different': A Perspective on Music Similarity in Indian Art Music
Kaustuv Kanti Ganguli
The characteristic melodic motifs (lit. pakad) of a raga in Indian classical music are an important cue to its identity. Artists, however, incorporate considerable creative variation within a raga phrase during performance while still preserving its identity in the ears of the listeners. It is of interest therefore to explore the boundaries of this categorization of the phrase identity, given the space of musical variations in the pitch interval and duration dimensions. Such an endeavour can help better model musical similarity for music retrieval and pedagogy applications. Our primary research goals lie in modelling the melodic shape corresponding to a raga phrase in a perceptually relevant manner. This work can help develop methods for the automatic discovery of musically meaningful melodic patterns from audio. In this talk, I shall motivate the relevance of studying music perception, in a computational framework. As a signal processing engineer, I started off with modelling melodic motifs with a view to being able to 'classify' and 'discover' characteristic phrases in a raga audio. Being a musician myself, I could perceive the similar patterns in a concert audio, the pitch contours of which looked quite different visually. Seeing these broad differences in vision and audition, the immediate question that came to my mind was: 'How different is 'different'?' That was the point I started reverse engineering and noted human responses to capture the correlation between subjective and objective behaviors. The broad goal is to redefine a distance measure best suited for Indian raga music that will take care of 'microtonality' and 'improvisation', the crux of this music tradition.
WikiBhasha beta is a multilingual content creation tool for Wikipedia. Developed by Microsoft Research, WikiBhasha beta enables contributors to Wikipedia to find content from other Wikipedia articles, translate the content into other languages, and then either compose new articles or enhance existing articles in multilingual Wikipedias.
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99DOTS is a new model of delivering tuberculosis medications that utilizesbasic mobile phones and augmented blister packaging to provide real-timeadherence monitoring without the burden of direct observation.
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The Microsoft Rich Interactive Narratives (RIN) research project combines traditional forms of storytelling with new visualization technologies to create compelling interactive digital narratives. The RIN project is an undertaking by Microsoft Research India in collaboration with the Interactive Visual Experience group in Microsoft Research Redmond and the Microsoft Research Connections.
|P: Safe Asynchronous Event-Driven Programming
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|The Solution of the Kadison-Singer Problem
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|Parallel Bayesian Network Structure Learning for Genome-Scale Gene Networks
Learning Bayesian networks is NP-hard. Even with recent progress in heuristic and parallel algorithms, modeling capabilities still fall short of the scale of the problems encountered. In this work, we present a massively parallel method for Bayesian network structure learning, and demonstrate its capability by constructing genome-scale gene networks of the model plant Arabidopsis thaliana from over 168.5 million gene expression values. We report strong scaling efficiency of 75% and demonstrate scaling to 1.57 million cores of the Tianhe-2 supercomputer. Our results constitute three and five orders of magnitude increase over previously published results in the scale of data analyzed and computations performed, respectively. We achieve this through algorithmic innovations, using efficient techniques to distribute work across all compute nodes, all available processors and coprocessors on each node, all available threads on each processor and coprocessor, and vectorization techniques to maximize single thread performance.
|Computing on Encryption Data: Functional Encryption and More
|Q and A - Session 2
Butler Lampson, Jeannette Wing, and Siddharth Prakash
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