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Acoustic Data Analysis from Multi-Sensor Capture in Rare Singing ; Acoustic Data Analysis from Multi-Sensor Capture in Rare Singing: Cantu in Paghjella Case Study
In: ISSN: 2047-4970 ; EISSN: 2047-4989 ; International Journal of Heritage in the Digital Era ; https://halshs.archives-ouvertes.fr/halshs-01251181 ; International Journal of Heritage in the Digital Era, SAGE Journals, 2015, 4 (1), pp.121-132 ⟨10.1260/2047-4970.4.1.121⟩ (2015)
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2
A Multi-Sensor Helmet to Capture Rare Singing, an Intangible Cultural Heritage Study
In: 10th International Seminar on Speech Production (ISSP) ; https://hal.archives-ouvertes.fr/hal-01188296 ; 10th International Seminar on Speech Production (ISSP), May 2014, Cologne, Germany. pp.5-8 ; www.issp2014.uni-koeln.de (2014)
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3
3D Tongue motion visualization based on ultrasound image sequences
In: Interspeech 2014 ; https://halshs.archives-ouvertes.fr/halshs-01404834 ; Interspeech 2014, Sep 2014, Singapour, Singapore (2014)
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4
Acoustic Data Analysis from Multi-Sensor Capture in Rare Singing: Cantu in Paghjella Case Study
In: in Proc. 1st Workshop on ICT for the Preservation and Transmission of Intangible Cultural Heritage, International Euro-Mediterranean Conference on Cultural Heritage (Euromed2014) ; https://halshs.archives-ouvertes.fr/halshs-01130325 ; in Proc. 1st Workshop on ICT for the Preservation and Transmission of Intangible Cultural Heritage, International Euro-Mediterranean Conference on Cultural Heritage (Euromed2014), Nov 2014, Lemessos, Cyprus (2014)
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5
Capturing, Analyzing, and Transmitting Intangible Cultural Heritage with the i-Treasures Project
In: Ultrafest VI ; https://hal.archives-ouvertes.fr/hal-01136931 ; Ultrafest VI, Nov 2013, Edinburgh, United Kingdom. Colloque Ulstrafest VI, pp.1-4, 2013 ; http://www.qmu.ac.uk/casl/conf/ultrafest%5F2013/default.htm (2013)
Abstract: Résumé long de la communication visible au lien suivant: http://www.qmu.ac.uk/casl/conf/ultrafest%5F2013/docs/AJaumard-Hakoun_1_Ultrafest.pdf ; International audience ; The i-Treasures project, which officially began on 1 February 2013, is a 12-partner FP7 project that proposes to use multi- sensor technology to capture, preserve, and transmit four types of intangible cultural heritage, referred to as 'use cases': rare traditional songs, rare dance interactions, traditional craftsmanship and contemporary music composition. Methodologies used will include body and gesture recognition, vocal tract modeling, speech processing and electroencephalography (EEG). The "Rare traditional songs" use case, which will be the focus of our work, targets Corsican "cantu in Paghjella", Sardinian "Canto a tenore", Mt. Athos Greek byzantine hymns and the recent "Human beat box" styles. The final objective of the "Rare traditional songs" use case is to capture vocal tract movements with sufficient accuracy to drive a real-time 2D or 3D avatar of the vocal tract, which will in turn play a crucial role in the transmitting of captured invisible cultural heritage to future generations. The acquisition sensors are: multi-sensor helmet, nose-mounted accelerometer, camera, ultrasound probe, Electroglottograph, Microphone and breathing belt. This system is described in this study, and also the vocal tract modeling, the preliminary data processing, and the extracting tongue contour method.
Keyword: [SHS.LANGUE]Humanities and Social Sciences/Linguistics; COM; extracting tongue contour method; multi-sensor acquisition system; preliminary data processing; Rare traditional songs; vocal tract modeling
URL: https://hal.archives-ouvertes.fr/hal-01136931
https://hal.archives-ouvertes.fr/hal-01136931/document
https://hal.archives-ouvertes.fr/hal-01136931/file/AJaumard-Hakoun_1_Ultrafest.pdf
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