Hasan Sercan Atlı - Academia.edu (original) (raw)

Thesis Chapters by Hasan Sercan Atlı

Bu çalışmada Türk makam müziğinin ezgisel boyutuna yönelik interaktif bir eğitim programı oluştur... more Bu çalışmada Türk makam müziğinin ezgisel boyutuna yönelik interaktif bir eğitim programı oluşturulması hedeflenmiştir. Geliştirilen araç kapsamlı bir eğitim programı değildir; belirli bir makamı öğrenmek için kullanıcıya referans kayıtlar ve kayıtlarla ilgili öğrenime yardımcı bilgiler ve araçlar sunan bir programdır.

Program, bünyesinde ses kayıtlarının baskın ezgilerini, entonasyonlarını ve icra edilen karar perdelerinin frekanslarını otomatik analiz eden araçlar barındırmaktadır. Aynı zamanda seçilen ses kayıtları ilgili notalarla otomatik eşlenmiştir. Dolayısıyla kullanıcı, referans kayıtlardaki icraların bir bölümünü seçebilir ve çalıştığı bölümün notasını takip edebilir. Tez kapsamında kullanıcıya interaktif bir çalışma ortamının sağlanabilmesi hedeflendiğinden, ses kayıtlarıyla ilgili notaları görselleştiren ve seslendiren araçlar da çalışma kapsamında geliştirilmiştir. Öğrenime yardımcı tüm bilgiler, bir çizimsel arabirim ile kullanıcıya sunulmaktadır. Tez kapsamında yapılan çalışmalar doğrultusunda baskın ezgi analizi ve otomatik karar perdesi frekansı tespiti konuları için yeni yöntemler geliştirilmiştir. Geliştirilen yöntemlerin verimliliği oluşturulan deney veri kümeleri yardımıyla değerlendirilmiştir. Bu çalışma çerçevesinde geliştirilen tüm araçlar ve derlenen veriler, akademik araştırmalar için kullanıma açılmıştır.

Papers by Hasan Sercan Atlı

Karar is the final tone in the Turkish makam music performances. The karar frequency, hence the c... more Karar is the final tone in the Turkish makam music performances. The karar frequency, hence the concert pitch varies among performances due to the existence of many diapasons in Turkish makam music, instead of a single standard one. Correct estimation of the karar frequency is critical for many computational tasks such as tuning analysis, audio-score alignment and automatic transcription. We present a new karar frequency identification method that is based on detecting the last note in the recording and estimating its frequency. The method is applied on two large datasets of Turkish makam music recordings and shown to outperform the state-of-the-art.

Each music tradition has its own characteristics in terms of melodic, rhythmic and timbral proper... more Each music tradition has its own characteristics in terms of melodic, rhythmic and timbral properties as well as semantic understandings. To analyse, discover and explore these culture-specific characteristics, we need music collections which are representative of the studied aspects of the music tradition. For Turkish makam music, there are various resources available such as audio recordings, music scores, lyrics and editorial metadata. However, most of these resources are not typically suited for computational analysis, are hard to access, do not have su cient quality or do not include adequate descriptive information. In this paper we present a corpus of Turkish makam music created within the scope of the CompMusic project. The corpus is intended for computational research and the primary considerations during the creation of the corpus reflect some criteria, namely, purpose, coverage, completeness, quality and re-usability. So far, we have gathered approximately 6000 audio recordings, 2200 music scores with lyrics and 27000 instances of editorial metadata related to Turkish makam music. The metadata include information about makams, recordings, scores, compositions , artists etc. as well as the interrelations between them. In this paper, we also present several test datasets of Turkish makam music. Test datasets contain manual annotations by experts and they provide ground truth for specific computational tasks to test, calibrate and improve the research tools. We hope that this research corpus and the test datasets will facilitate academic studies in several fields such as music information retrieval and computational musicology.

Comunicacio presentada a: ATMM 2014 The 3rd International Conference on Audio Technologies for Mu... more Comunicacio presentada a: ATMM 2014 The 3rd International Conference on Audio Technologies for Music and Media, celebrat del 12 al 14 de Novembre de 2014 a Ankara i Istanbul, Turquia.

Tonic is a fundamental concept in makam. As in many world music cultures, tonic frequency varies ... more Tonic is a fundamental concept in makam. As in many world music cultures, tonic frequency varies among performances. Because of this, correct estimation of tonic frequency is important for other computational research problems like tuning analysis, audio-score alignment, automatic transcription etc. In this work, we present a new methodology for automatic tonic estimation of Turkish makam music recordings. New methodology bases on the frequency estimation of the last note in a performance.

OTMM Makam Recognition Dataset This repository hosts the dataset designed to test makam recogniti... more OTMM Makam Recognition Dataset This repository hosts the dataset designed to test makam recognition methodologies on Ottoman-Turkish makam music. It is composed of 50 recordings from each of the 20 most common makams in CompMusic Project's Dunya Ottoman-Turkish Makam Music collection. Currently, the dataset is the largest makam recognition dataset. Please cite the publication below if you use this dataset in your work: Karakurt, A., Şentürk S., & Serra X. (2016). MORTY: A Toolbox for Mode Recognition and Tonic Identification. 3rd International Digital Libraries for Musicology Workshop. New York, USA The recordings are selected from commercial recordings carefully such that they cover diverse musical forms, vocal/instrumentation settings, and recording qualities (e.g. historical vs contemporary). Each recording in the dataset is identified by a 16-character long unique identifier called MBID, hosted in MusicBrainz. The makam and the tonic of each recording are annotated in the fi...

The presented study is aimed at developing a computer based education software specifically desig... more The presented study is aimed at developing a computer based education software specifically designed for Turkish makam music. It is not a comprehensive educational system but is limited to the implementation of a system that helps the user to learn and practice the musical intervals of an audio recording with a specific makam or a makam with related reference audio recordings. The system provides an ability to practice the reference audio recording by using provided computational tools. The software includes some analysis tools that extract predominant melody, identifies the tonic frequency, analyzes the style and the tuning of the performance in the audio recording. Moreover, the score of the selected performance is aligned with the related audio recording. Hence, the user can select a part of the performance and practice the melody by following the automatically-aligned music scores. The software also includes some visualization and synthesis tools for the scores of the audio recordings. The new methodologies developed for predominant melody extraction and automatic tonic identification are evaluated with prepared test datasets. The developed tools and prepared datasets are publicly shared for academic use.

predominantmelodymakam Predominant melody extraction for makam music This repository hosts the th... more predominantmelodymakam Predominant melody extraction for makam music This repository hosts the the Python (2 & 3) implementation of the predominant melody extraction method proposed for makam music in: Atlı, H. S., Uyar, B., Şentürk, S., Bozkurt, B., and Serra, X. (2014). Audio feature extraction for exploring Turkish makam music. In Proceedings of 3rd International Conference on Audio Technologies for Music and Media, pages 142–153, Ankara, Turkey. If you are using this extractor please cite the above paper. The extractor is based on the methodology by [2]. The contour selection step in [2] is trained on the specfic characteristics of Western pop music and jazz. We remove this step and use a simplified contour selection step by selecting the longest contour at each time instance and discarding all other contours. Then we use the method proposed in [3] to remove the erroneous pitch estimations and correct octave errors. Usage <pre><code class="lang-python">from...

turkish_makam_tonic_test_datasets <strong>Erratum:</strong> We have recently discover... more turkish_makam_tonic_test_datasets <strong>Erratum:</strong> We have recently discovered a few errors in the tonic annotations listed in atli2015tonic_fma. The annotations are currently being revised. The tonic test datasets for classical Ottoman-Turkish makam music Introduction This is a pre-release, in which all the previous tonic datasets are merged into a single one with homogenous and explanatory format. Afterwards, we will start automatically and/or manually verifying the annotations. This repository contains datasets of annotated tonic frequencies of the audio recordings of Ottoman-Turkish makam music. The annotations are compiled from several research papers published under the CompMusic project. For more information about the original datasets, please refer to the relevant paper. Each annotated recording is uniquely identified with a MusicBrainz MBID. The tonic symbol is also for each recording given in the format [letter][octave][accidental][comma], e.g. <em&...

turkish_makam_tonic_test_datasets <strong>Erratum:</strong> We have recently discover... more turkish_makam_tonic_test_datasets <strong>Erratum:</strong> We have recently discovered a few errors in the tonic annotations listed in atli2015tonic_fma. The annotations are currently being revised. The tonic test datasets for classical Ottoman-Turkish makam music Introduction This repository contains datasets of annotated tonic frequencies of the audio recordings of Ottoman-Turkish makam music. The annotations are compiled from several research papers published under the CompMusic project. For more information about the original datasets, please refer to the relevant paper. Each annotated recording is uniquely identified with a MusicBrainz MBID. The tonic symbol is also for each recording given in the format [letter][octave][accidental][comma], e.g. <em>B4b1</em> (according to AEU theory). Each recording is annotated by at least expert musician or musicologists. The annotations are stored as a list with each annotation including the annotated frequency, sou...

turkish_makam_tonic_test_datasets Erratum: We have recently discovered a few errors in the tonic ... more turkish_makam_tonic_test_datasets Erratum: We have recently discovered a few errors in the tonic annotations listed in atli2015tonic_fma. The annotations are currently being revised. The tonic test datasets for classical Ottoman-Turkish makam music Introduction This is a pre-release, in which all the previous tonic datasets are merged into a single one with homogenous and explanatory format. Afterwards, we will start automatically and/or manually verifying the annotations. This repository contains datasets of annotated tonic frequencies of the audio recordings of Ottoman-Turkish makam music. The annotations are compiled from several research papers published under the CompMusic project. For more information about the original datasets, please refer to the relevant paper. Each annotated recording is uniquely identified with a MusicBrainz MBID. The tonic symbol is also for each recording given in the format [letter][octave][accidental][comma], e.g. B4b1 (according to AEU theory). Each...

predominantmelodymakam Predominant melody extraction for makam music This repository hosts the th... more predominantmelodymakam Predominant melody extraction for makam music This repository hosts the the implementation of the predominant melody extraction proposed for makam music in: Atlı, H. S., Uyar, B., Şentürk, S., Bozkurt, B., and Serra, X. (2014). Audio feature extraction for exploring Turkish makam music. In Proceedings of 3rd International Conference on Audio Technologies for Music and Media, pages 142–153, Ankara, Turkey. If you are using this extractor please cite the above paper. The extractor is based on the methodology by [2]. The contour selection step in [2] is trained on the specfic characteristics of Western pop music and jazz. We remove this step and use a simplified contour selection step by selecting the longest contour at each time instance and discarding all other contours. Then we use the method proposed in [3] to remove the erroneous pitch estimations and correct octave errors. Usage from predominantmelodymakam.predominantmelodymakam import PredominantMelodyMaka...

predominantmelodymakam Predominant melody extraction for makam music This repository hosts the th... more predominantmelodymakam Predominant melody extraction for makam music This repository hosts the the implementation of the predominant melody extraction proposed for makam music in: <em>Atlı, H. S., Uyar, B., Şentürk, S., Bozkurt, B., and Serra, X. (2014). Audio feature extraction for exploring Turkish makam music. In Proceedings of 3rd International Conference on Audio Technologies for Music and Media, pages 142–153, Ankara, Turkey.</em> If you are using this extractor please cite the above paper. The extractor is based on the methodology by [2]. The contour selection step in [2] is trained on the specfic characteristics of Western pop music and jazz. We remove this step and use a simplified contour selection step by selecting the longest contour at each time instance and discarding all other contours. Then we use the method proposed in [3] to remove the erroneous pitch estimations and correct octave errors. Usage from predominantmelodymakam.PredominantMelodyMakam import PredominantMelodyMakam extractor = PredominantMelodyMakam() results = extractor.run(audiofile) Please refer to demo.ipynb for an interactive demo. Installation If you want to install the repository, it is recommended to install the package and dependencies into a virtualenv. In the terminal, do the following: virtualenv env source env/bin/activate python setup.py install If you want to be able to edit files and have the changes be reflected, then install the repo like this instead: pip install -e . The algorithm uses several modules in Essentia. Follow the instructions to install the library. Then you should link the python bindings of Essentia in the virtual environment: ln -s /usr/local/lib/python2.7/dist-packages/essentia env/lib/python2.7/site-packages Changelog Added the pitchfilter repository as a fallback if the Essetian PitchFilter does not work due to Essentia version problem (e.g. the official version for Ubuntu 14.04). Added flake8 checking to Travis CI Authors Hasan Sercan Atlı hsercanatli@gmail.com<br> Se [...]

predominantmelodymakam Predominant melody extraction for makam music This repository hosts the th... more predominantmelodymakam Predominant melody extraction for makam music This repository hosts the the implementation of the predominant melody extraction proposed for makam music in: Atlı, H. S., Uyar, B., Şentürk, S., Bozkurt, B., and Serra, X. (2014). Audio feature extraction for exploring Turkish makam music. In Proceedings of 3rd International Conference on Audio Technologies for Music and Media, pages 142–153, Ankara, Turkey. If you are using this extractor please cite the above paper. The extractor is based on the methodology by [2]. The contour selection step in [2] is trained on the specfic characteristics of Western pop music and jazz. We remove this step and use a simplified contour selection step by selecting the longest contour at each time instance and discarding all other contours. Then we use the method proposed in [3] to remove the erroneous pitch estimations and correct octave errors. Usage <code class="lang-python">from predominantmelodymakam.predomina...

Comunicacio presentada al International Workshop on Folk Music Analysis, celebrat del 14 al 16 de... more Comunicacio presentada al International Workshop on Folk Music Analysis, celebrat del 14 al 16 de juny a Malaga, Espanya.

Proceedings of the 1st International Workshop on Digital Libraries for Musicology - DLfM '14, 2014

ABSTRACT Each music tradition has its own characteristics in terms of melodic, rhythmic and timbr... more ABSTRACT Each music tradition has its own characteristics in terms of melodic, rhythmic and timbral properties as well as semantic understandings. To analyse, discover and explore these culture-specific characteristics, we need music collections which are representative of the studied aspects of the music tradition. For Turkish makam music, there are various resources available such as audio recordings, music scores, lyrics and editorial metadata. However, most of these resources are not typically suited for computational analysis, are hard to access, do not have sufficient quality or do not include adequate descriptive information. In this paper we present a corpus of Turkish makam music created within the scope of the CompMusic project. The corpus is intended for computational research and the primary considerations during the creation of the corpus reflect some criteria, namely, purpose, coverage, completeness, quality and re-usability. So far, we have gathered approximately 6000 audio recordings, 2200 music scores with lyrics and 27000 instances of editorial metadata related to Turkish makam music. The metadata include information about makams, recordings, scores, compositions, artists etc. as well as the interrelations between them. In this paper, we also present several test datasets of Turkish makam music. Test datasets contain manual annotations by experts and they provide ground truth for specific computational tasks to test, calibrate and improve the research tools. We hope that this research corpus and the test datasets will facilitate academic studies in several fields such as music information retrieval and computational musicology.

3Rd International Conference on Audio Technologies For Music and Media, 2014

Proceedings of the 1st International Workshop on Digital Libraries for Musicology - DLfM '14, 2014

ABSTRACT Each music tradition has its own characteristics in terms of melodic, rhythmic and timbr... more ABSTRACT Each music tradition has its own characteristics in terms of melodic, rhythmic and timbral properties as well as semantic understandings. To analyse, discover and explore these culture-specific characteristics, we need music collections which are representative of the studied aspects of the music tradition. For Turkish makam music, there are various resources available such as audio recordings, music scores, lyrics and editorial metadata. However, most of these resources are not typically suited for computational analysis, are hard to access, do not have sufficient quality or do not include adequate descriptive information. In this paper we present a corpus of Turkish makam music created within the scope of the CompMusic project. The corpus is intended for computational research and the primary considerations during the creation of the corpus reflect some criteria, namely, purpose, coverage, completeness, quality and re-usability. So far, we have gathered approximately 6000 audio recordings, 2200 music scores with lyrics and 27000 instances of editorial metadata related to Turkish makam music. The metadata include information about makams, recordings, scores, compositions, artists etc. as well as the interrelations between them. In this paper, we also present several test datasets of Turkish makam music. Test datasets contain manual annotations by experts and they provide ground truth for specific computational tasks to test, calibrate and improve the research tools. We hope that this research corpus and the test datasets will facilitate academic studies in several fields such as music information retrieval and computational musicology.

Bu çalışmada Türk makam müziğinin ezgisel boyutuna yönelik interaktif bir eğitim programı oluştur... more Bu çalışmada Türk makam müziğinin ezgisel boyutuna yönelik interaktif bir eğitim programı oluşturulması hedeflenmiştir. Geliştirilen araç kapsamlı bir eğitim programı değildir; belirli bir makamı öğrenmek için kullanıcıya referans kayıtlar ve kayıtlarla ilgili öğrenime yardımcı bilgiler ve araçlar sunan bir programdır.

Program, bünyesinde ses kayıtlarının baskın ezgilerini, entonasyonlarını ve icra edilen karar perdelerinin frekanslarını otomatik analiz eden araçlar barındırmaktadır. Aynı zamanda seçilen ses kayıtları ilgili notalarla otomatik eşlenmiştir. Dolayısıyla kullanıcı, referans kayıtlardaki icraların bir bölümünü seçebilir ve çalıştığı bölümün notasını takip edebilir. Tez kapsamında kullanıcıya interaktif bir çalışma ortamının sağlanabilmesi hedeflendiğinden, ses kayıtlarıyla ilgili notaları görselleştiren ve seslendiren araçlar da çalışma kapsamında geliştirilmiştir. Öğrenime yardımcı tüm bilgiler, bir çizimsel arabirim ile kullanıcıya sunulmaktadır. Tez kapsamında yapılan çalışmalar doğrultusunda baskın ezgi analizi ve otomatik karar perdesi frekansı tespiti konuları için yeni yöntemler geliştirilmiştir. Geliştirilen yöntemlerin verimliliği oluşturulan deney veri kümeleri yardımıyla değerlendirilmiştir. Bu çalışma çerçevesinde geliştirilen tüm araçlar ve derlenen veriler, akademik araştırmalar için kullanıma açılmıştır.

Karar is the final tone in the Turkish makam music performances. The karar frequency, hence the c... more Karar is the final tone in the Turkish makam music performances. The karar frequency, hence the concert pitch varies among performances due to the existence of many diapasons in Turkish makam music, instead of a single standard one. Correct estimation of the karar frequency is critical for many computational tasks such as tuning analysis, audio-score alignment and automatic transcription. We present a new karar frequency identification method that is based on detecting the last note in the recording and estimating its frequency. The method is applied on two large datasets of Turkish makam music recordings and shown to outperform the state-of-the-art.

Each music tradition has its own characteristics in terms of melodic, rhythmic and timbral proper... more Each music tradition has its own characteristics in terms of melodic, rhythmic and timbral properties as well as semantic understandings. To analyse, discover and explore these culture-specific characteristics, we need music collections which are representative of the studied aspects of the music tradition. For Turkish makam music, there are various resources available such as audio recordings, music scores, lyrics and editorial metadata. However, most of these resources are not typically suited for computational analysis, are hard to access, do not have su cient quality or do not include adequate descriptive information. In this paper we present a corpus of Turkish makam music created within the scope of the CompMusic project. The corpus is intended for computational research and the primary considerations during the creation of the corpus reflect some criteria, namely, purpose, coverage, completeness, quality and re-usability. So far, we have gathered approximately 6000 audio recordings, 2200 music scores with lyrics and 27000 instances of editorial metadata related to Turkish makam music. The metadata include information about makams, recordings, scores, compositions , artists etc. as well as the interrelations between them. In this paper, we also present several test datasets of Turkish makam music. Test datasets contain manual annotations by experts and they provide ground truth for specific computational tasks to test, calibrate and improve the research tools. We hope that this research corpus and the test datasets will facilitate academic studies in several fields such as music information retrieval and computational musicology.

Comunicacio presentada a: ATMM 2014 The 3rd International Conference on Audio Technologies for Mu... more Comunicacio presentada a: ATMM 2014 The 3rd International Conference on Audio Technologies for Music and Media, celebrat del 12 al 14 de Novembre de 2014 a Ankara i Istanbul, Turquia.

Tonic is a fundamental concept in makam. As in many world music cultures, tonic frequency varies ... more Tonic is a fundamental concept in makam. As in many world music cultures, tonic frequency varies among performances. Because of this, correct estimation of tonic frequency is important for other computational research problems like tuning analysis, audio-score alignment, automatic transcription etc. In this work, we present a new methodology for automatic tonic estimation of Turkish makam music recordings. New methodology bases on the frequency estimation of the last note in a performance.

OTMM Makam Recognition Dataset This repository hosts the dataset designed to test makam recogniti... more OTMM Makam Recognition Dataset This repository hosts the dataset designed to test makam recognition methodologies on Ottoman-Turkish makam music. It is composed of 50 recordings from each of the 20 most common makams in CompMusic Project's Dunya Ottoman-Turkish Makam Music collection. Currently, the dataset is the largest makam recognition dataset. Please cite the publication below if you use this dataset in your work: Karakurt, A., Şentürk S., & Serra X. (2016). MORTY: A Toolbox for Mode Recognition and Tonic Identification. 3rd International Digital Libraries for Musicology Workshop. New York, USA The recordings are selected from commercial recordings carefully such that they cover diverse musical forms, vocal/instrumentation settings, and recording qualities (e.g. historical vs contemporary). Each recording in the dataset is identified by a 16-character long unique identifier called MBID, hosted in MusicBrainz. The makam and the tonic of each recording are annotated in the fi...

The presented study is aimed at developing a computer based education software specifically desig... more The presented study is aimed at developing a computer based education software specifically designed for Turkish makam music. It is not a comprehensive educational system but is limited to the implementation of a system that helps the user to learn and practice the musical intervals of an audio recording with a specific makam or a makam with related reference audio recordings. The system provides an ability to practice the reference audio recording by using provided computational tools. The software includes some analysis tools that extract predominant melody, identifies the tonic frequency, analyzes the style and the tuning of the performance in the audio recording. Moreover, the score of the selected performance is aligned with the related audio recording. Hence, the user can select a part of the performance and practice the melody by following the automatically-aligned music scores. The software also includes some visualization and synthesis tools for the scores of the audio recordings. The new methodologies developed for predominant melody extraction and automatic tonic identification are evaluated with prepared test datasets. The developed tools and prepared datasets are publicly shared for academic use.

predominantmelodymakam Predominant melody extraction for makam music This repository hosts the th... more predominantmelodymakam Predominant melody extraction for makam music This repository hosts the the Python (2 & 3) implementation of the predominant melody extraction method proposed for makam music in: Atlı, H. S., Uyar, B., Şentürk, S., Bozkurt, B., and Serra, X. (2014). Audio feature extraction for exploring Turkish makam music. In Proceedings of 3rd International Conference on Audio Technologies for Music and Media, pages 142–153, Ankara, Turkey. If you are using this extractor please cite the above paper. The extractor is based on the methodology by [2]. The contour selection step in [2] is trained on the specfic characteristics of Western pop music and jazz. We remove this step and use a simplified contour selection step by selecting the longest contour at each time instance and discarding all other contours. Then we use the method proposed in [3] to remove the erroneous pitch estimations and correct octave errors. Usage <pre><code class="lang-python">from...

turkish_makam_tonic_test_datasets <strong>Erratum:</strong> We have recently discover... more turkish_makam_tonic_test_datasets <strong>Erratum:</strong> We have recently discovered a few errors in the tonic annotations listed in atli2015tonic_fma. The annotations are currently being revised. The tonic test datasets for classical Ottoman-Turkish makam music Introduction This is a pre-release, in which all the previous tonic datasets are merged into a single one with homogenous and explanatory format. Afterwards, we will start automatically and/or manually verifying the annotations. This repository contains datasets of annotated tonic frequencies of the audio recordings of Ottoman-Turkish makam music. The annotations are compiled from several research papers published under the CompMusic project. For more information about the original datasets, please refer to the relevant paper. Each annotated recording is uniquely identified with a MusicBrainz MBID. The tonic symbol is also for each recording given in the format [letter][octave][accidental][comma], e.g. <em&...

turkish_makam_tonic_test_datasets <strong>Erratum:</strong> We have recently discover... more turkish_makam_tonic_test_datasets <strong>Erratum:</strong> We have recently discovered a few errors in the tonic annotations listed in atli2015tonic_fma. The annotations are currently being revised. The tonic test datasets for classical Ottoman-Turkish makam music Introduction This repository contains datasets of annotated tonic frequencies of the audio recordings of Ottoman-Turkish makam music. The annotations are compiled from several research papers published under the CompMusic project. For more information about the original datasets, please refer to the relevant paper. Each annotated recording is uniquely identified with a MusicBrainz MBID. The tonic symbol is also for each recording given in the format [letter][octave][accidental][comma], e.g. <em>B4b1</em> (according to AEU theory). Each recording is annotated by at least expert musician or musicologists. The annotations are stored as a list with each annotation including the annotated frequency, sou...

turkish_makam_tonic_test_datasets Erratum: We have recently discovered a few errors in the tonic ... more turkish_makam_tonic_test_datasets Erratum: We have recently discovered a few errors in the tonic annotations listed in atli2015tonic_fma. The annotations are currently being revised. The tonic test datasets for classical Ottoman-Turkish makam music Introduction This is a pre-release, in which all the previous tonic datasets are merged into a single one with homogenous and explanatory format. Afterwards, we will start automatically and/or manually verifying the annotations. This repository contains datasets of annotated tonic frequencies of the audio recordings of Ottoman-Turkish makam music. The annotations are compiled from several research papers published under the CompMusic project. For more information about the original datasets, please refer to the relevant paper. Each annotated recording is uniquely identified with a MusicBrainz MBID. The tonic symbol is also for each recording given in the format [letter][octave][accidental][comma], e.g. B4b1 (according to AEU theory). Each...

predominantmelodymakam Predominant melody extraction for makam music This repository hosts the th... more predominantmelodymakam Predominant melody extraction for makam music This repository hosts the the implementation of the predominant melody extraction proposed for makam music in: Atlı, H. S., Uyar, B., Şentürk, S., Bozkurt, B., and Serra, X. (2014). Audio feature extraction for exploring Turkish makam music. In Proceedings of 3rd International Conference on Audio Technologies for Music and Media, pages 142–153, Ankara, Turkey. If you are using this extractor please cite the above paper. The extractor is based on the methodology by [2]. The contour selection step in [2] is trained on the specfic characteristics of Western pop music and jazz. We remove this step and use a simplified contour selection step by selecting the longest contour at each time instance and discarding all other contours. Then we use the method proposed in [3] to remove the erroneous pitch estimations and correct octave errors. Usage from predominantmelodymakam.predominantmelodymakam import PredominantMelodyMaka...

predominantmelodymakam Predominant melody extraction for makam music This repository hosts the th... more predominantmelodymakam Predominant melody extraction for makam music This repository hosts the the implementation of the predominant melody extraction proposed for makam music in: <em>Atlı, H. S., Uyar, B., Şentürk, S., Bozkurt, B., and Serra, X. (2014). Audio feature extraction for exploring Turkish makam music. In Proceedings of 3rd International Conference on Audio Technologies for Music and Media, pages 142–153, Ankara, Turkey.</em> If you are using this extractor please cite the above paper. The extractor is based on the methodology by [2]. The contour selection step in [2] is trained on the specfic characteristics of Western pop music and jazz. We remove this step and use a simplified contour selection step by selecting the longest contour at each time instance and discarding all other contours. Then we use the method proposed in [3] to remove the erroneous pitch estimations and correct octave errors. Usage from predominantmelodymakam.PredominantMelodyMakam import PredominantMelodyMakam extractor = PredominantMelodyMakam() results = extractor.run(audiofile) Please refer to demo.ipynb for an interactive demo. Installation If you want to install the repository, it is recommended to install the package and dependencies into a virtualenv. In the terminal, do the following: virtualenv env source env/bin/activate python setup.py install If you want to be able to edit files and have the changes be reflected, then install the repo like this instead: pip install -e . The algorithm uses several modules in Essentia. Follow the instructions to install the library. Then you should link the python bindings of Essentia in the virtual environment: ln -s /usr/local/lib/python2.7/dist-packages/essentia env/lib/python2.7/site-packages Changelog Added the pitchfilter repository as a fallback if the Essetian PitchFilter does not work due to Essentia version problem (e.g. the official version for Ubuntu 14.04). Added flake8 checking to Travis CI Authors Hasan Sercan Atlı hsercanatli@gmail.com<br> Se [...]

predominantmelodymakam Predominant melody extraction for makam music This repository hosts the th... more predominantmelodymakam Predominant melody extraction for makam music This repository hosts the the implementation of the predominant melody extraction proposed for makam music in: Atlı, H. S., Uyar, B., Şentürk, S., Bozkurt, B., and Serra, X. (2014). Audio feature extraction for exploring Turkish makam music. In Proceedings of 3rd International Conference on Audio Technologies for Music and Media, pages 142–153, Ankara, Turkey. If you are using this extractor please cite the above paper. The extractor is based on the methodology by [2]. The contour selection step in [2] is trained on the specfic characteristics of Western pop music and jazz. We remove this step and use a simplified contour selection step by selecting the longest contour at each time instance and discarding all other contours. Then we use the method proposed in [3] to remove the erroneous pitch estimations and correct octave errors. Usage <code class="lang-python">from predominantmelodymakam.predomina...

Comunicacio presentada al International Workshop on Folk Music Analysis, celebrat del 14 al 16 de... more Comunicacio presentada al International Workshop on Folk Music Analysis, celebrat del 14 al 16 de juny a Malaga, Espanya.

Proceedings of the 1st International Workshop on Digital Libraries for Musicology - DLfM '14, 2014

ABSTRACT Each music tradition has its own characteristics in terms of melodic, rhythmic and timbr... more ABSTRACT Each music tradition has its own characteristics in terms of melodic, rhythmic and timbral properties as well as semantic understandings. To analyse, discover and explore these culture-specific characteristics, we need music collections which are representative of the studied aspects of the music tradition. For Turkish makam music, there are various resources available such as audio recordings, music scores, lyrics and editorial metadata. However, most of these resources are not typically suited for computational analysis, are hard to access, do not have sufficient quality or do not include adequate descriptive information. In this paper we present a corpus of Turkish makam music created within the scope of the CompMusic project. The corpus is intended for computational research and the primary considerations during the creation of the corpus reflect some criteria, namely, purpose, coverage, completeness, quality and re-usability. So far, we have gathered approximately 6000 audio recordings, 2200 music scores with lyrics and 27000 instances of editorial metadata related to Turkish makam music. The metadata include information about makams, recordings, scores, compositions, artists etc. as well as the interrelations between them. In this paper, we also present several test datasets of Turkish makam music. Test datasets contain manual annotations by experts and they provide ground truth for specific computational tasks to test, calibrate and improve the research tools. We hope that this research corpus and the test datasets will facilitate academic studies in several fields such as music information retrieval and computational musicology.

3Rd International Conference on Audio Technologies For Music and Media, 2014

Proceedings of the 1st International Workshop on Digital Libraries for Musicology - DLfM '14, 2014

ABSTRACT Each music tradition has its own characteristics in terms of melodic, rhythmic and timbr... more ABSTRACT Each music tradition has its own characteristics in terms of melodic, rhythmic and timbral properties as well as semantic understandings. To analyse, discover and explore these culture-specific characteristics, we need music collections which are representative of the studied aspects of the music tradition. For Turkish makam music, there are various resources available such as audio recordings, music scores, lyrics and editorial metadata. However, most of these resources are not typically suited for computational analysis, are hard to access, do not have sufficient quality or do not include adequate descriptive information. In this paper we present a corpus of Turkish makam music created within the scope of the CompMusic project. The corpus is intended for computational research and the primary considerations during the creation of the corpus reflect some criteria, namely, purpose, coverage, completeness, quality and re-usability. So far, we have gathered approximately 6000 audio recordings, 2200 music scores with lyrics and 27000 instances of editorial metadata related to Turkish makam music. The metadata include information about makams, recordings, scores, compositions, artists etc. as well as the interrelations between them. In this paper, we also present several test datasets of Turkish makam music. Test datasets contain manual annotations by experts and they provide ground truth for specific computational tasks to test, calibrate and improve the research tools. We hope that this research corpus and the test datasets will facilitate academic studies in several fields such as music information retrieval and computational musicology.