| 1. |
- Benetos, Emmanouil, et al.
(författare)
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Automatic Transcription of Turkish Makam Music
- 2013
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Ingår i: Proceedings of ISMIR - International Conference on Music Information Retrieval. - : International Society for Music Information Retrieval. ; , s. 355-360
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Konferensbidrag (refereegranskat)abstract
- In this paper we propose an automatic system for transcribing makam music of Turkey. We document the specific traits of this music that deviate from properties that were targeted by transcription tools so far and we compile a dataset of makam recordings along with aligned microtonal ground-truth. An existing multi-pitch detection algorithm is adapted for transcribing music in 20 cent resolution, and the final transcription is centered around the tonic frequency of the recording. Evaluation metrics for transcribing microtonal music are utilized and results show that transcription of Turkish makam music in e.g. an interactive transcription software is feasible using the current state-of-the-art.
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| 2. |
- Benetos, Emmanouil, et al.
(författare)
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Automatic transcription of Turkish microtonal music
- 2015
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Ingår i: Journal of the Acoustical Society of America. - : Acoustical Society of America (ASA). - 0001-4966. ; 138:4, s. 2118-2130
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Tidskriftsartikel (refereegranskat)abstract
- Automatic music transcription, a central topic in music signal analysis, is typically limited to equal-tempered music and evaluated on a quartertone tolerance level. A system is proposed to automatically transcribe microtonal and heterophonic music as applied to the makam music of Turkey. Specific traits of this music that deviate from properties targeted by current transcription tools are discussed, and a collection of instrumental and vocal recordings is compiled, along with aligned microtonal reference pitch annotations. An existing multi-pitch detection algorithm is adapted for transcribing music with 20 cent resolution, and a method for converting a multi-pitch heterophonic output into a single melodic line is proposed. Evaluation metrics for transcribing microtonal music are applied, which use various levels of tolerance for inaccuracies with respect to frequency and time. Results show that the system is able to transcribe microtonal instrumental music at 20 cent resolution with an F-measure of 56.7%, outperforming state-of-the-art methods for the same task. Case studies on transcribed recordings are provided, to demonstrate the shortcomings and the strengths of the proposed method.
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| 3. |
- Benetos, Emmanouil, et al.
(författare)
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Incorporating pitch class profiles for improving automatic transcription of Turkish makam music
- 2014
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Ingår i: Proceedings of the 4th Workshop on Folk Music Analysis. - : Computer Engineering Department, Bogaziçi University. ; , s. 15-20
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Konferensbidrag (refereegranskat)abstract
- In this paper we evaluate the impact of including knowledge about scale material into a system for the transcription of Turkish makam music. To this end, we extend our previously presented appoach by a refinement iteration that gives preference to note values present in the scale of the mode (i.e. makam). The information about the scalar material is provided in form of pitch class profiles, and they are imposed in form of a Dirichlet prior to our expanded probabilistic latent component analysis (PLCA) transcription system. While the inclusion of such a prior was supposed to focus the transcription system on musically meaningful areas, the obtained results are significantly improved only for recordings of certain instruments. In our discussion we demonstrate the quality of the obtained transcriptions, and discuss the difficulties caused for evaluation in the context of microtonal music.
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| 4. |
- Benetos, Emmanouil, et al.
(författare)
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Pitched Instrument Onset Detection Based on Auditory Spectra
- 2009
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Ingår i: Proceedings of ISMIR - International Conference on Music Information Retrieval. ; , s. 105-110
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Konferensbidrag (refereegranskat)abstract
- In this paper, a novel method for onset detection of music signals using auditory spectra is proposed. The auditory spectrogram provides a time-frequency representation that employs a sound processing model resembling the human auditory system. Recent work on onset detection employs DFT-based features, such as the spectral flux and group delay function. The spectral flux and group delay are introduced in the auditory framework and an onset detection algorithm is proposed. Experiments are conducted on a dataset covering 11pitched instrument types, consisting of 1829 onsets in total. Results indicate the superiority of the auditory representations over the DFT-based ones, with the auditory spectral flux exhibiting an onset detection improvement by 2% in terms of F-measure when compared to the DFT-based feature.
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| 5. |
- Bozkurt, Baris, et al.
(författare)
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Computational analysis of makam music in Turkey : review of state-of-the-art and challenges
- 2014
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Ingår i: Journal of New Music Research. - : Informa UK Limited. - 0929-8215 .- 1744-5027. ; 43:1, s. 3-23
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Tidskriftsartikel (refereegranskat)abstract
- This text targets a review of the computational analysis literature for Turkish makam music, discussing in detail the challenges involved and presenting a perspective for further studies. For that purpose, the basic concepts of Turkish makam music and the description of melodic, rhythmic and timbral aspects are considered in detail. Studies on tuning analysis, automatic transcription, automatic melodic analysis, automatic makam and usul detection are reviewed. Technological and data resource needs for further advancement are discussed and available sources are presented.
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| 6. |
- Cornelis, Olmo, et al.
(författare)
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Evaluation and Recommendation of Pulse and Tempo Annotation in Ethnic Music
- 2013
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Ingår i: Journal for New Music Research. - : Taylor & Francis Group. - 0929-8215 .- 1744-5027. ; 42:2, s. 131-149
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Tidskriftsartikel (refereegranskat)abstract
- Large digital archives of ethnic music require automatic tools to provide musical content descriptions. While various automatic approaches are available, they are to a wide extent developed for Western popular music. This paper aims to analyse how automated tempo estimation approaches perform in the context of Central-African music. To this end we collect human beat annotations for a set of musical fragments, and compare them with automatic beat tracking sequences. We first analyse the tempo estimations derived from annotations and beat tracking results. Then we examine an approach, based on mutual agreement between automatic and human annotations, to automate such analysis, which can serve to detect musical fragments with high tempo ambiguity.
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| 7. |
- d’Alessandro, N., et al.
(författare)
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RAMCESS 2.x FRAMEWORK - EXPRESSIVE VOICE ANALYSIS FOR REALTIME AND ACCURATE SYNTHESIS OF SINGING
- 2008
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Ingår i: Journal on Multimodal User Interfaces. - : Springer. - 1783-7677 .- 1783-8738. ; 2, s. 133-144
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Tidskriftsartikel (refereegranskat)abstract
- In this paper we present the work that has been achieved in the context of the second version of the RAMCESS singing synthesis framework. The main improvement of this study is the integration of new algorithms for expressive voice analysis, especially the separation of the glottal source and the vocal tract. Realtime synthesis modules have also been refined. These elements have been integrated in an existing digital instrument: the HANDSKETCH 1.X, a bimanual controller. Moreover this digital instrument is compared to existing systems.
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| 8. |
- de Valk, Reinier, et al.
(författare)
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MIRchiving: Challenges and opportunities of connecting MIR research and digital music archives
- 2017
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Ingår i: DLfM '17 Proceedings of the 4th International Workshop on Digital Libraries for Musicology<em></em>. - New York, NY, USA : ACM Digital Library.
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Konferensbidrag (refereegranskat)abstract
- This study is a call for action for the music information retrieval (MIR) community to pay more attention to collaboration with digital music archives. The study, which resulted from an interdisciplinary workshop and subsequent discussion, matches the demand for MIR technologies from various archives with what is already supplied by the MIR community. We conclude that the expressed demands can only be served sustainably through closer collaborations. Whereas MIR systems are described in scientific publications, usable implementations are often absent. If there is a runnable system, user documentation is often sparse---posing a huge hurdle for archivists to employ it. This study sheds light on the current limitations and opportunities of MIR research in the context of music archives by means of examples, and highlights available tools. As a basic guideline for collaboration, we propose to interpret MIR research as part of a value chain. We identify the following benefits of collaboration between MIR researchers and music archives: new perspectives for content access in archives, more diverse evaluation data and methods, and a more application-oriented MIR research workflow.
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| 9. |
- Dutoit, T., et al.
(författare)
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Towards a voice conversion system based on frame selection
- 2007
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Ingår i: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). - : IEEE Press. ; , s. 513-516
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Konferensbidrag (refereegranskat)abstract
- The subject of this paper is the conversion of a given speaker's voice (the source speaker) into another identified voice (the target one). We assume we have at our disposal a large amount of speech samples from source and target voice with at least a part of them being parallel. The proposed system is built on a mapping function between source and target spectral envelopes followed by a frame selection algorithm to produce final spectral envelopes. Converted speech is produced by a basic LP analysis of the source and LP synthesis using the converted spectral envelopes. We compared three types of conversion: without mapping, with mapping and using the excitation of the source speaker and finally with mapping using the excitation of the target. Results show that the combination of mapping and frame selection provide the best results, and underline the interest to work on methods to convert the LP excitation.
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| 10. |
- Dzhambazov, Georgi, et al.
(författare)
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Metrical-accent Aware Vocal Onset Detection in Polyphonic Audio
- 2017
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Ingår i: Proceedings of the 18th International Society for Music Information Retrieval Conference, ISMIR 2017. - : International Society for Music Information Retrieval.
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Konferensbidrag (refereegranskat)abstract
- The goal of this study is the automatic detection of onsets of the singing voice in polyphonic audio recordings. Starting with a hypothesis that the knowledge of the current position in a metrical cycle (i.e. metrical accent) can improve the accuracy of vocal note onset detection, we propose a novel probabilistic model to jointly track beats and vocal note onsets. The proposed model extends a state of the art model for beat and meter tracking, in which a-priori probability of a note at a specific metrical accent interacts with the probability of observing a vocal note onset. We carry out an evaluation on a varied collection of multi-instrument datasets from two music traditions (English popular music and Turkish makam) with different types of metrical cycles and singing styles. Results confirm that the proposed model reasonably improves vocal note onset detection accuracy compared to a baseline model that does not take metrical position into account.
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