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Simple Search
Hits 1 – 9 of 9
1
An Articulatory-Based Singing Voice Synthesis Using Tongue and Lips Imaging
Jaumard-Hakoun, Aurore
;
Xu, Kele
;
Leboullenger, Clémence
...
In: Interspeech 2016 ; ISCA Interspeech 2016 ; https://hal.archives-ouvertes.fr/hal-01529630 ; ISCA Interspeech 2016, Sep 2016, San Francisco, United States. pp.1467 - 1471, ⟨10.21437/Interspeech.2016-385⟩ (2016)
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2
Development of a 3D tongue motion visualization platform based on ultrasound image sequences ...
Xu, Kele
;
Yang, Yin
;
Jaumard-Hakoun, Aurore
. - : arXiv, 2016
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3
Tongue contour extraction from ultrasound images based on deep neural network ...
Jaumard-Hakoun, Aurore
;
Xu, Kele
;
Roussel-Ragot, Pierre
;
Dreyfus, Gérard
;
Denby, Bruce
. - : arXiv, 2016
Abstract:
Studying tongue motion during speech using ultrasound is a standard procedure, but automatic ultrasound image labelling remains a challenge, as standard tongue shape extraction methods typically require human intervention. This article presents a method based on deep neural networks to automatically extract tongue contour from ultrasound images on a speech dataset. We use a deep autoencoder trained to learn the relationship between an image and its related contour, so that the model is able to automatically reconstruct contours from the ultrasound image alone. In this paper, we use an automatic labelling algorithm instead of time-consuming hand-labelling during the training process, and estimate the performances of both automatic labelling and contour extraction as compared to hand-labelling. Observed results show quality scores comparable to the state of the art. ... : 5 pages, 3 figures, published in The International Congress of Phonetic Sciences, 2015 ...
Keyword:
Computer Vision and Pattern Recognition cs.CV
;
FOS Computer and information sciences
URL:
https://dx.doi.org/10.48550/arxiv.1605.05912
https://arxiv.org/abs/1605.05912
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4
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
Crevier-Buchman, Lise
;
Amelot, Angelique
;
Al Kork, Samer K.
...
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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5
A Multi-Sensor Helmet to Capture Rare Singing, an Intangible Cultural Heritage Study
Al Kork, Samer K.
;
Jaumard-Hakoun, Aurore
;
Adda-Decker, Martine
...
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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6
3D Tongue motion visualization based on ultrasound image sequences
Xu, Kele
;
Yang, Yin
;
Jaumard-Hakoun, Aurore
...
In: Interspeech 2014 ; https://halshs.archives-ouvertes.fr/halshs-01404834 ; Interspeech 2014, Sep 2014, Singapour, Singapore (2014)
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7
Acoustic Data Analysis from Multi-Sensor Capture in Rare Singing: Cantu in Paghjella Case Study
Crevier-Buchman, Lise
;
Fux, Thibaut
;
Amelot, Angelique
...
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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8
3D Tongue Motion Visualization Based On Ultrasound Image Sequences ...
Kele, XU
;
AL Kork, Samer
;
Denby, Bruce
. - : Zenodo, 2014
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9
Capturing, Analyzing, and Transmitting Intangible Cultural Heritage with the i-Treasures Project
Jaumard-Hakoun, Aurore
;
Al Kork, Samer K.
;
Adda-Decker, Martine
...
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)
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