Acoustic Data Analysis from Multi-Sensor Capture in Rare Singing
Lise Crevier-Buchman
(1)
,
Angelique Amelot
(1)
,
Samer K. Al Kork
(2)
,
Martine Adda-Decker
(1)
,
Nicolas Audibert
(1)
,
Patrick Chawah
(1)
,
Bruce Denby
(3)
,
Thibault Fux
,
Aurore Jaumard-Hakoun
(2)
,
Pierre Roussel
(2)
,
Maureen Stone
(4)
,
Jacqueline Vaissière
(1)
,
Kele Xu
(2)
,
Claire Pillot-Loiseau
(1)
Lise Crevier-Buchman
- Fonction : Auteur
- PersonId : 175723
- IdHAL : lise-crevier-buchman
- ORCID : 0000-0002-2900-0528
- IdRef : 035788739
Angelique Amelot
- Fonction : Auteur
- PersonId : 179551
- IdHAL : angelique-amelot
- ORCID : 0000-0003-2112-3520
- IdRef : 087772531
Martine Adda-Decker
- Fonction : Auteur
- PersonId : 6743
- IdHAL : martine-adda-decker
- ORCID : 0000-0003-2154-7438
- IdRef : 033427747
Nicolas Audibert
- Fonction : Auteur
- PersonId : 7824
- IdHAL : nicolas-audibert
- ORCID : 0000-0003-3648-9322
- IdRef : 148426034
Thibault Fux
- Fonction : Auteur
Aurore Jaumard-Hakoun
- Fonction : Auteur
- PersonId : 5461
- IdHAL : aurore-jaumard-hakoun
- IdRef : 197318509
Jacqueline Vaissière
- Fonction : Auteur
- PersonId : 922128
Claire Pillot-Loiseau
- Fonction : Auteur
- PersonId : 180239
- IdHAL : claire-pillot-loiseau
- ORCID : 0000-0003-2167-5392
- IdRef : 084347538
Résumé
This paper deals with new capturing technologies to safeguard and transmit endangered intangible cultural heritage including Corsican multipart singing technique. The described work, part of the European FP7 i-Treasures project, aims at increasing our knowledge on rare singing techniques. This paper includes (i) a presentation of our light hyper-helmet with 5 non-invasive sensors (microphone, camera, ultrasound sensor, piezoelectric sensor, electroglottograph), (ii) the data acquisition process and software modules for visualization and data analysis, (iii) a case study on acoustic analysis of voice quality for the UNESCO labelled traditional Cantu in Paghjella. We have identified specific features for this singing style, such as changes in vocal quality, especially concerning the energy in the speaking and singing formant frequency region, a nasal vibration that seems to occur during singing, as well as laryngeal mechanism characteristics. These capturing and analysis technologies will contribute to define relevant features for a future educational platform.
Domaines
Linguistique Héritage culturel et muséologie Sciences de l'information et de la communicationFormat du dépôt | Notice |
---|---|
Type de dépôt | Article dans une revue |
Titre |
en
Acoustic Data Analysis from Multi-Sensor Capture in Rare Singing
|
Sous-Titre |
en
Cantu in Paghjella Case Study
|
Résumé |
en
This paper deals with new capturing technologies to safeguard and transmit endangered intangible cultural heritage including Corsican multipart singing technique. The described work, part of the European FP7 i-Treasures project, aims at increasing our knowledge on rare singing techniques. This paper includes (i) a presentation of our light hyper-helmet with 5 non-invasive sensors (microphone, camera, ultrasound sensor, piezoelectric sensor, electroglottograph), (ii) the data acquisition process and software modules for visualization and data analysis, (iii) a case study on acoustic analysis of voice quality for the UNESCO labelled traditional Cantu in Paghjella. We have identified specific features for this singing style, such as changes in vocal quality, especially concerning the energy in the speaking and singing formant frequency region, a nasal vibration that seems to occur during singing, as well as laryngeal mechanism characteristics. These capturing and analysis technologies will contribute to define relevant features for a future educational platform.
|
Auteur(s) |
Lise Crevier-Buchman
1
, Angelique Amelot
1
, Samer K. Al Kork
2
, Martine Adda-Decker
1
, Nicolas Audibert
1
, Patrick Chawah
1
, Bruce Denby
3
, Thibault Fux
, Aurore Jaumard-Hakoun
2
, Pierre Roussel
2
, Maureen Stone
4
, Jacqueline Vaissière
1
, Kele Xu
2
, Claire Pillot-Loiseau
1
1
LPP -
LPP - Laboratoire de Phonétique et Phonologie - UMR 7018
( 986 )
- Université Sorbonne Nouvelle
Maison de la Recherche
4, rue des Irlandais
75005 PARIS
- France
2
SIGMA -
Laboratoire Signaux, Modèles et Apprentissage Statistique
( 133759 )
- ESPCI, 10 rue Vauquelin, 75231 Paris cedex 05
- France
3
UPMC -
Université Pierre et Marie Curie - Paris 6
( 93591 )
- 4 place Jussieu - 75005 Paris
- France
4
VTVL -
Vocal Tract Visualization Lab [Baltimore]
( 162011 )
- University of Maryland Dental School, 650 W. Baltimore St., Baltimore, MD, 21201 USA
- États-Unis
|
Langue du document |
Anglais
|
Nom de la revue |
|
Vulgarisation |
Non
|
Comité de lecture |
Oui
|
Audience |
Internationale
|
Date de publication |
2015-06-24
|
Volume |
4
|
Numéro |
1
|
Page/Identifiant |
121-132
|
Domaine(s) |
|
Projet(s) ANR |
|
Projet(s) Européen(s) |
|
Mots-clés |
en
intangible cultural heritage, rare singing, Cantu in Paghjella, multi-sensor synchronous capturing, hyper-helmet
|
DOI | 10.1260/2047-4970.4.1.121 |
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