@inproceedings{origlia-alfano-2012-prosomarker,
title = "{P}rosomarker: a prosodic analysis tool based on optimal pitch stylization and automatic syllabi fication",
author = "Origlia, Antonio and
Alfano, Iolanda",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Do{\u{g}}an, Mehmet U{\u{g}}ur and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
month = may,
year = "2012",
address = "Istanbul, Turkey",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/786_Paper.pdf",
pages = "997--1002",
abstract = "Prosodic research in recent years has been supported by a number of automatic analysis tools aimed at simplifying the work that is requested to study intonation. The need to analyze large amounts of data and to inspect phenomena that are often ambiguous and difficult to model makes the prosodic research area an ideal application field for computer based processing. One of the main challenges in this field is to model the complex relations occurring between the segmental level, mainly in terms of syllable nuclei and boundaries, and the supra-segmental level, mainly in terms of tonal movements. The goal of our contribution is to provide a tool for automatic annotation of prosodic data, the Prosomarker, designed to give a visual representation of both segmental and suprasegmental events. The representation is intended to be as generic as possible to let researchers analyze specific phenomena without being limited by assumptions introduced by the annotation itself. A perceptual account of the pitch curve is provided along with an automatic segmentation of the speech signal into syllable-like segments and the tool can be used both for data exploration, in semi-automatic mode, and to process large sets of data, in automatic mode.",
}
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<abstract>Prosodic research in recent years has been supported by a number of automatic analysis tools aimed at simplifying the work that is requested to study intonation. The need to analyze large amounts of data and to inspect phenomena that are often ambiguous and difficult to model makes the prosodic research area an ideal application field for computer based processing. One of the main challenges in this field is to model the complex relations occurring between the segmental level, mainly in terms of syllable nuclei and boundaries, and the supra-segmental level, mainly in terms of tonal movements. The goal of our contribution is to provide a tool for automatic annotation of prosodic data, the Prosomarker, designed to give a visual representation of both segmental and suprasegmental events. The representation is intended to be as generic as possible to let researchers analyze specific phenomena without being limited by assumptions introduced by the annotation itself. A perceptual account of the pitch curve is provided along with an automatic segmentation of the speech signal into syllable-like segments and the tool can be used both for data exploration, in semi-automatic mode, and to process large sets of data, in automatic mode.</abstract>
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%0 Conference Proceedings
%T Prosomarker: a prosodic analysis tool based on optimal pitch stylization and automatic syllabi fication
%A Origlia, Antonio
%A Alfano, Iolanda
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Doğan, Mehmet Uğur
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12)
%D 2012
%8 May
%I European Language Resources Association (ELRA)
%C Istanbul, Turkey
%F origlia-alfano-2012-prosomarker
%X Prosodic research in recent years has been supported by a number of automatic analysis tools aimed at simplifying the work that is requested to study intonation. The need to analyze large amounts of data and to inspect phenomena that are often ambiguous and difficult to model makes the prosodic research area an ideal application field for computer based processing. One of the main challenges in this field is to model the complex relations occurring between the segmental level, mainly in terms of syllable nuclei and boundaries, and the supra-segmental level, mainly in terms of tonal movements. The goal of our contribution is to provide a tool for automatic annotation of prosodic data, the Prosomarker, designed to give a visual representation of both segmental and suprasegmental events. The representation is intended to be as generic as possible to let researchers analyze specific phenomena without being limited by assumptions introduced by the annotation itself. A perceptual account of the pitch curve is provided along with an automatic segmentation of the speech signal into syllable-like segments and the tool can be used both for data exploration, in semi-automatic mode, and to process large sets of data, in automatic mode.
%U http://www.lrec-conf.org/proceedings/lrec2012/pdf/786_Paper.pdf
%P 997-1002
Markdown (Informal)
[Prosomarker: a prosodic analysis tool based on optimal pitch stylization and automatic syllabi fication](http://www.lrec-conf.org/proceedings/lrec2012/pdf/786_Paper.pdf) (Origlia & Alfano, LREC 2012)
ACL