Acoustic Data Analysis from Multi-Sensor Capture in Rare Singing: Cantu in Paghjella Case Study. Issue 1 (March 2015)

• Record Type: Journal Article
• Authors: Crevier-Buchman, Lise; Amelot, Angélique; Kork, Samer K. Al; Adda-Decker, Martine; Audibert, Nicolas; Chawah, Patrick; Denby, Bruce; Fux, Thibaut; Jaumard-Hakoun, Aurore; Roussel, Pierre; Stone, Maureen; Vaissiere, Jacqueline; Xu, Kele; Pillot-Loiseau, Claire
• Is Part Of: International journal of heritage in the digital era. Volume 4:Issue 1(2015)
• Page Start: 121
• Page End: 132
• Publication Date: 2015-03
• Subjects: Imaging systems in archaeology -- Periodicals; Cultural property -- Digitization -- Periodicals; Historic preservation -- Computer-aided design -- Periodicals; Cultural property -- Conservation and restoration -- Periodicals; 363.690285
• DOI: 10.1260/2047-4970.4.1.121
• Languages: English
• ISSNs: 2047-4970

Abstract

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.