Sertan Şentürk
Biographic Data
| ID | 2787901 |
|---|---|
| NAME | Sertan Şentürk |
| GIVEN NAMES | Sertan |
| FAMILY NAME | Şentürk |
| SIGNATURE | ŞENTÜRK S |
| AFFILIATIONS | Universitat Pompeu Fabra |
| ORCID | 0000-0002-8862-2108 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2014 |
| H-INDEX | 1 |
Linking Scores and Audio Recordings in Makam Music of Turkey
The most relevant representations of music are notations and audio recordings, each of which emphasizes a particular perspective and promotes different approximations in the analysis and understanding of music. Linking these two representations and analysing them jointly should help to better study many musical facets by being able to combine complementary analysis methodologies. In order to develop accurate linking methods, we have to take into …
Predictive Tabla Modelling Using Variable-length Markov and Hidden Markov Models
Tabla is a sophisticated, centuries-old percussion tradition from North India based on timbral sequences. We model these sequences in a predictive framework with Variable-length Markov Models (VLMMs). Using a database containing nearly 30,000 strokes in 35 compositions, we show that VLMMs have high predictive accuracy, with an average perplexity of 1.80, and median perplexity of 1.19, on a task with 42 distinct symbols. This basic framework is ex…
Predictive Tabla Modelling Using Variable-length Markov and Hidden Markov Models
Tabla is a sophisticated, centuries-old percussion tradition from North India based on timbral sequences. We model these sequences in a predictive framework with Variable-length Markov Models (VLMMs). Using a database containing nearly 30,000 strokes in 35 compositions, we show that VLMMs have high predictive accuracy, with an average perplexity of 1.80, and median perplexity of 1.19, on a task with 42 distinct symbols. This basic framework is ex…
Linking Scores and Audio Recordings in Makam Music of Turkey
The most relevant representations of music are notations and audio recordings, each of which emphasizes a particular perspective and promotes different approximations in the analysis and understanding of music. Linking these two representations and analysing them jointly should help to better study many musical facets by being able to combine complementary analysis methodologies. In order to develop accurate linking methods, we have to take into …
Predictive Tabla Modelling Using Variable-length Markov and Hidden Markov Models
Tabla is a sophisticated, centuries-old percussion tradition from North India based on timbral sequences. We model these sequences in a predictive framework with Variable-length Markov Models (VLMMs). Using a database containing nearly 30,000 strokes in 35 compositions, we show that VLMMs have high predictive accuracy, with an average perplexity of 1.80, and median perplexity of 1.19, on a task with 42 distinct symbols. This basic framework is ex…
Linking Scores and Audio Recordings in Makam Music of Turkey
The most relevant representations of music are notations and audio recordings, each of which emphasizes a particular perspective and promotes different approximations in the analysis and understanding of music. Linking these two representations and analysing them jointly should help to better study many musical facets by being able to combine complementary analysis methodologies. In order to develop accurate linking methods, we have to take into …
Artificial Intelligence (2 works) · Computer Science (2 works) · Music and Audio Processing (2 works) · Music Technology and Sound Studies (2 works) · Neuroscience and Music Perception (2 works) · Acoustics (1 work) · Art (1 work) · Audio signal (1 work) · Digital audio (1 work) · Hidden Markov model (1 work)