Bozkurt, Barış
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Bozkurt, B.
Bozkurt, B
Bozkurt, Bans
Bozkurt, Baris
Bozkurt, Bariş
Bozkurt, Barış ış
Bozkurt, Barş
Bozkurt, B
Bozkurt, Bans
Bozkurt, Baris
Bozkurt, Bariş
Bozkurt, Barış ış
Bozkurt, Barş
Job Title
Email Address
baris.bozkurt@idu.edu.tr
Main Affiliation
03.05. Department of Electrical and Electronics Engineering
Status
Former Staff
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SDG data is not available
Documents
51
Citations
1080
h-index
17
Documents
29
Citations
571
Scholarly Output
18
Articles
12
Views / Downloads
14666/10863
Supervised MSc Theses
0
Supervised PhD Theses
0
WoS Citation Count
341
Scopus Citation Count
507
Patents
0
Projects
1
WoS Citations per Publication
18.94
Scopus Citations per Publication
28.17
Open Access Source
14
Supervised Theses
0
| Journal | Count |
|---|---|
| Journal of New Music Research | 4 |
| Lecture Notes in Computer Science | 2 |
| Speech Communication | 2 |
| Annual Conference of the International Speech Communication Association, INTERSPEECH | 1 |
| Computer Speech and Language | 1 |
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18 results
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Now showing 1 - 10 of 18
Article Citation - WoS: 5Citation - Scopus: 8Usul and Makam Driven Automatic Melodic Segmentation for Turkish Music(Taylor and Francis Ltd., 2014) Bozkurt, Barış; Karaosmanoglu, M. Kemal; Karaçalı, Bilge; Ünal, ErdemAutomatic melodic segmentation is a topic studied extensively, aiming at developing systems that perform grouping of musical events. Here, we consider the problem of automatic segmentation via supervised learning from a dataset containing segmentation labels of an expert. We present a statistical classification-based segmentation system developed specifically for Turkish makam music. The proposed system uses two novel features, a makam-based and an usul-based feature, together with features commonly used in literature. The makam-based feature is defined as the probability of a note to appear at the phrase boundary, computed from the distributions of boundaries with respect to the piece’s makam pitches. Likewise, the usul-based feature is computed from the distributions of boundaries with respect to beats in the rhythmic cycle, usul of the piece. Several experimental setups using different feature groups are designed to test the contribution of the proposed features on three datasets. The results show that the new features carry complementary information to existing features in the literature within the Turkish makam music segmentation context and that the inclusion of new features resulted in statistically significant performance improvement.Article Citation - WoS: 32Citation - Scopus: 61Three Dimensions of Pitched Instrument Onset Detection(Institute of Electrical and Electronics Engineers Inc., 2010) Holzapfel, Andre; Bozkurt, Barış; Stylianou, Yannis; Gedik, Ali Cenk; Gedik, Ali Cenk; Bozkurt, BarışIn this paper, we suggest a novel group delay based method for the onset detection of pitched instruments. It is proposed to approach the problem of onset detection by examining three dimensions separately: phase (i.e., group delay), magnitude and pitch. The evaluation of the suggested onset detectors for phase, pitch and magnitude is performed using a new publicly available and fully onset annotated database of monophonic recordings which is balanced in terms of included instruments and onset samples per instrument, while it contains different performance styles. Results show that the accuracy of onset detection depends on the type of instruments as well as on the style of performance. Combining the information contained in the three dimensions by means of a fusion at decision level leads to an improvement of onset detection by about 8% in terms of F-measure, compared to the best single dimension. © 2010 IEEE.Conference Object Citation - Scopus: 6Music Information Retrieval for Turkish Music: Problems, Solutions and Tools(Institute of Electrical and Electronics Engineers Inc., 2009) Bozkurt, Barış; Gedik, Ali Cenk; Karaosmanoğlu, M. KemalBu çalışma bilgi erişimi uygulamaları açısından Türk müziğinin Batı müziği ile farklılıklarını tartışmaya açmaktadır. Türk müziği bilgi erişimi için frekans histogramı kullanımını önermekte ve otomatik karar sesi tespiti, makam sınıflandırma, ses sistemi analizi, kuram – icra uyuşma düzeyinin ölçülmesi gibi uygulamalar için geliştirilmiş bir dizi aracı içeren Makam Aracı (Makam Toolbox) 1.0’ın ve beraberinde büyük bir parametrik veritabanının tanıtımını yapmaktadır.Article Citation - WoS: 43Citation - Scopus: 59Causal-Anticausal Decomposition of Speech Using Complex Cepstrum for Glottal Source Estimation(Elsevier Ltd., 2011) Drugman, Thomas; Bozkurt, Barış; Dutoit, ThierryComplex cepstrum is known in the literature for linearly separating causal and anticausal components. Relying on advances achieved by the Zeros of the Z-Transform (ZZT) technique, we here investigate the possibility of using complex cepstrum for glottal flow estimation on a large-scale database. Via a systematic study of the windowing effects on the deconvolution quality, we show that the complex cepstrum causal-anticausal decomposition can be effectively used for glottal flow estimation when specific windowing criteria are met. It is also shown that this complex cepstral decomposition gives similar glottal estimates as obtained with the ZZT method. However, as complex cepstrum uses FFT operations instead of requiring the factoring of high-degree polynomials, the method benefits from a much higher speed. Finally in our tests on a large corpus of real expressive speech, we show that the proposed method has the potential to be used for voice quality analysis.Article Citation - WoS: 2Citation - Scopus: 2A Computational Analysis of Turkish Makam Music Based on a Probabilistic Characterization of Segmented Phrases(Taylor and Francis Ltd., 2015) Bozkurt, Barış; Karaçalı, BilgeThis study targets automatic analysis of Turkish makam music pieces on the phrase level. While makam is most simply defined as an organization of melodic phrases, there has been very little effort to computationally study melodic structure in makam music pieces. In this work, we propose an automatic analysis algorithm that takes as input symbolic data in the form of machine-readable scores that are segmented into phrases. Using a measure of makam membership for phrases, our method outputs for each phrase the most likely makam the phrase comes from. The proposed makam membership definition is based on Bayesian classification and the algorithm is specifically designed to process the data with overlapping classes. The proposed analysis system is trained and tested on a large data set of phrases obtained by transferring phrase boundaries manually written by experts of makam music on printed scores, to machine-readable data. For the task of classifying all phrases, or only the beginning phrases to come from the main makam of the piece, the corresponding F-measures are.52 and.60 respectively.Conference Object Citation - WoS: 2Türk Makam Müziği Notaları için Otomatik Ezgi Bölütleme(Institute of Electrical and Electronics Engineers Inc., 2014) Bozkurt, Barış; Karaçalı, Bilge; Karaosmanoğlu, M. Kemal; Ünal, ErdemAutomatic melodic segmentation is one of the important steps in computational analysis of melodic content from symbolic data This widely studied research problem has been very rarely considered for Turkish makam music. In this paper we first present test results for state-of-the-art techniques from literature on Turkish makam music data Then, we present a statistical classification-based segmentation system that exploits the link between makant melodies and usul and makam scale hierarchies together with the well-known features in literature. We show through tests on a large dataset that the proposed system has a higher accuracy.Conference Object Citation - WoS: 16Citation - Scopus: 46Complex Cepstrum-Based Decomposition of Speech for Glottal Source Estimation(International Speech Communication Association, 2009) Drugman, Thomas; Bozkurt, Barış; Dutoit, ThierryHomomorphic analysis is a well-known method for the separation of non-linearly combined signals. More particularly, the use of complex cepstrum for source-tract deconvolution has been discussed in various articles. However there exists no study which proposes a glottal flow estimation methodology based on cepstrum and reports effective results. In this paper, we show that complex cepstrum can be effectively used for glottal flow estimation by separating the causal and anticausal components of a windowed speech signal as done by the Zeros of the Z-Transform (ZZT) decomposition. Based on exactly the same principles presented for ZZT decomposition, windowing should be applied such that the windowed speech signals exhibit mixed-phase characteristics which conform the speech production model that the anticausal component is mainly due to the glottal flow open phase. The advantage of the complex cepstrum-based approach compared to the ZZT decomposition is its much higher speed.Conference Object Citation - WoS: 3Citation - Scopus: 6Phase-Based Methods for Voice Source Analysis(Springer Verlag, 2007) D’Alessandro, Christophe; Bozkurt, Barış; Doval, Boris; Dutoit, Thierry; Henrich, Nathalie; Tuan, Vu Ngoc; Sturmel, NicolasVoice source analysis is an important but difficult issue for speech processing. In this talk, three aspects of voice source analysis recently developed at LIMSI (Orsay, France) and FPMs (Mons, Belgium) are discussed. In a first part, time domain and spectral domain modelling of glottal flow signals are presented. It is shown that the glottal flow can be modelled as an anticausal filter (maximum phase) before the glottal closing, and as a causal filter (minimum phase) after the glottal closing. In a second part, taking advantage of this phase structure, causal and anticausal components of the speech signal are separated according to the location in the Z-plane of the zeros of the Z-Transform (ZZT) of the windowed signal. This method is useful for voice source parameters analysis and source-tract deconvolution. Results of a comparative evaluation of the ZZT and linear prediction for source/tract separation are reported. In a third part, glottal closing instant detection using the phase of the wavelet transform is discussed. A method based on the lines of maximum phase in the time-scale plane is proposed. This method is compared to EGG for robust glottal closing instant analysis.Article Citation - WoS: 36Citation - Scopus: 64Pitch-Frequency Histogram-Based Music Information Retrieval for Turkish Music(Elsevier Ltd., 2010) Gedik, Ali Cenk; Bozkurt, BarışThis study reviews the use of pitch histograms in music information retrieval studies for western and non-western music. The problems in applying the pitch-class histogram-based methods developed for western music to non-western music and specifically to Turkish music are discussed in detail. The main problems are the assumptions used to reduce the dimension of the pitch histogram space, such as, mapping to a low and fixed dimensional pitch-class space, the hard-coded use of western music theory, the use of the standard diapason (A4=440 Hz), analysis based on tonality and tempered tuning. We argue that it is more appropriate to use higher dimensional pitch-frequency histograms without such assumptions for Turkish music. We show in two applications, automatic tonic detection and makam recognition, that high dimensional pitch-frequency histogram representations can be successfully used in Music Information Retrieval (MIR) applications without such pre-assumptions, using the data-driven models. © 2009 Elsevier B.V. All rights reserved.Article Citation - WoS: 25Citation - Scopus: 39An Automatic Pitch Analysis Method for Turkish Maqam Music(Taylor and Francis Ltd., 2008) Bozkurt, BarışAutomatic pitch analysis of large audio databases is essential for studies on music information retrieval and developing a pitch scale theory for Turkish maqam music. However no such study is available. In this article, we first determine the main obstacle as the alignment of frequency analysis results from multiple files. We then propose a new method to automatically detect the tonic of a recording, align the data, and estimate overall frequency histograms from large databases. We show that such histograms can be successfully used for pitch scale (tuning) studies on the recordings of Tanburi Cemil Bey, an undisputed master of the genre