Search Results - "Şentürk, Sertan"

Predictive Tabla Modelling Using Variable-length Markov and Hidden Markov Models by Chordia, Parag, Sastry, Avinash, Şentürk, Sertan

“…Tabla is a sophisticated, centuries-old percussion tradition from North India based on timbral sequences. We model these sequences in a predictive framework…”
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Joint Recognition of Raag and Tonic in North Indian Music by Chordia, Parag, Şentürk, Sertan

“…In many non-Western musical traditions, such as North Indian classical music (NICM), melodies do not conform to the major and minor modes, and they commonly…”
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Linking Scores and Audio Recordings in Makam Music of Turkey by Şentürk, Sertan, Holzapfel, André, Serra, Xavier

“…The most relevant representations of music are notations and audio recordings, each of which emphasizes a particular perspective and promotes different…”
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Phrase-based rĀga recognition using vector space modeling by Gulati, Sankalp, Serra, Joan, Ishwar, Vignesh, Senturk, Sertan, Serra, Xavier

“…Automatic raga recognition is one of the fundamental computational tasks in Indian art music. Motivated by the way seasoned listeners identify ragas, we…”
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Section-level modeling of musical audio for linking performances to scores in Turkish makam music by Holzapfel, Andre, Simsekli, Umut, Senturk, Sertan, Taylan Cemgil, Ali

“…Section linking aims at relating structural units in the notation of a piece of music to their occurrences in a performance of the piece. In this paper, we…”
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Predicting the acoustics of historic Istanbul Tunnel: Simulation, calculation methods and geometrical details by Bal Kocyigit, Filiz, Senturk, Sertan

“…The Istanbul Tunnel, which was designed and constructed by Eugene Henry Gavand at 1875 is the 3rd. Metro and 2nd underground railway system in the world after…”
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Phrase-based rga recognition using vector space modeling by Gulati, Sankalp, Serra, Joan, Ishwar, Vignesh, Senturk, Sertan, Serra, Xavier

“…Automatic rga recognition is one of the fundamental computational tasks in Indian art music. Motivated by the way seasoned listeners identify rgas, we propose…”
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