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ragawise
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ragawise [2015/10/25 10:01] kaustuvkanti |
ragawise [2015/10/25 12:02] (current) kaustuvkanti [Block diagram of the system] |
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| - | ====== Ragawise ====== | + | ======= Ragawise ======= |
| - | | Authors | Sankalp Gulati, Kaustuv Kanti Ganguli, Swapnil Gupta, and Ajay Srinivasamurthy | | + | |
| + | | Authors | Sankalp Gulati, Kaustuv Kanti Ganguli, Swapnil Gupta, Ajay Srinivasamurthy | | ||
| | Affiliation | Music Technology Group, Universitat Pompeu Fabra, Barcelona | | | Affiliation | Music Technology Group, Universitat Pompeu Fabra, Barcelona | | ||
| - | | Code | Coming soon | | + | | Code | [[https://bitbucket.org/sankalpg/ragawise]] | |
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| + | ===== Short summary ===== | ||
| + | * **Goal:** Light-weight real-time raga recognition on web-browser. | ||
| + | * We start by performing real-time melody estimation and melodic transcription for Indian art Music. | ||
| + | * Transcribed melody is used to determine salience values for ragas using three melodic aspects (that hierarchically constitutes a raga melody): svara (notes), svara transition and raga characteristic melodic phrases. | ||
| + | * Svara transition and melodic phrase search is performed on a stored database in real-time and raga saliences are dynamically updated based on the found matches. | ||
| + | * All the intermediate steps such as pitch contour, note transcription, and matched phrases are visualized in real-time. | ||
| + | |||
| + | ===== Block diagram of the system ===== | ||
| + | |||
| + | {{:blockdiagram.png?600|}} | ||
| + | |||
| + | |||
| + | ===== Screen-shot of the visualization ===== | ||
| + | |||
| + | {{:ragawise.png?600|}} | ||
| + | ===== Exended description ===== | ||
| + | ----------------- | ||
| ===== Abstract ===== | ===== Abstract ===== | ||
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| ===== Conclusion ===== | ===== Conclusion ===== | ||
| - | Our current system employs real-time pitch tracking on web browser, real-time melody transcription, dynamic raga recognition based on a hierarchical model of melodic descriptors. Apart from being an efficient raga recognition system, this facilitates a tool to explore the 'raga space' and discover insightful relationships among alied ragas which is otherwise not explicit. The proposed system would find its use for advanced students in the pedagogical scenario of IAM as th | + | Our current system employs real-time pitch tracking on web browser, real-time melody transcription, dynamic raga recognition based on a hierarchical model of melodic descriptors. Apart from being an efficient raga recognition system, this facilitates a tool to explore the 'raga space' and discover insightful relationships among alied ragas which is otherwise not explicit. The proposed system would also find its use among advanced students of IAM in the pedagogical scenario where one could explore the raga space and appreciate the nuances of phrase progression while unfolding a raga. |
ragawise.1445781712.txt.gz · Last modified: 2015/10/25 10:01 by kaustuvkanti
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