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In order to better understand the musical properties which elicit an increased sensation of wanting to move when listening to music-groove-we investigate the effect of adding syncopation to simple piano melodies, under the hypothesis that syncopation is correlated to groove. Across two experiments we examine listeners' experience of groove to synthesized(More)
The issue of tuning in Indian classical music has been, historically , a matter of theoretical debate. In this paper, we study its contemporary practice in sung performances of Car-natic and Hindustani music following an empiric and quantitative approach. To do so, we select stable fundamental frequencies , estimated via a standard algorithm, and construct(More)
In this paper we propose an offline method for refining audio-to-score alignment at the note level in the context of orchestral recordings. State-of-the-art score alignment systems estimate note onsets with a low time resolution, and without detecting note offsets. For applications such as score-informed source separation we need a precise alignment at note(More)
Signal decomposition methods such as Non-negative Matrix Factorization (NMF) demonstrated to be a suitable approach for music signal processing applications, including sound source separation. To better control this decomposition , NMF has been extended using prior knowledge and parametric models. In fact, using score information considerably improved(More)
This paper presents a drum transcription algorithm adjusted to the constraints of real-time audio. We introduce an instance filtering (IF) method using sub-band onset detection, which improves the performance of a system having at its core a feature-based K-nearest neighbor classifier (KNN). The architecture proposed allows for adapting different parts of(More)
The classical music traditions of the Indian subcontinent, Hindustani and Carnatic, offer an excellent ground on which to test the limitations of current music information research approaches. At the same time, studies based on these music traditions can shed light on how to solve new and complex music modeling problems. Both traditions have very distinct(More)
The thesis aims to develop a system of Hindustani tala automatic recognition which can be trained by building a labeled corpus of Hindustani songs with tabla accompaniment. Most of the research concerning rhythm in the North Indian classical music was developed around monophonic recordings and the scope was just recognizing the tabla strokes or modeling the(More)
This paper combines Audio Signal Processing and Virtual Reality (VR) content to create novel immersive experiences for orchestral music audiences. In VR, the auralization of sound sources of recorded live content remains still a rather unexplored topic. We aim to build a multimodal experience, where visual and audio cues bring a sonic augmentation of the(More)
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