Emmanuel Ferragne
Emmanuel Ferragne
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Deep Learning
The contribution of lip protrusion to Anglo-English /r/: Evidence from hyper- and non-hyperarticulated speech
Sep 18, 2019 1:30 PM
Graz
Hannah King
,
Emmanuel Ferragne
The contribution of lip protrusion to Anglo-English /r/: Evidence from hyper- and non-hyperarticulated speech
Articulatory variation of /r/ has been widely observed in rhotic varieties of English, particularly with regards to tongue body shapes, …
Hannah King
,
Emmanuel Ferragne
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DOI
Deep learning and voice comparison : phonetically-motivated vs. automatically-learned features
Aug 5, 2019 10:00 AM
Melbourne
Cédric Gendrot
,
Emmanuel Ferragne
,
Thomas Pellegrini
Project
Towards phonetic interpretability in deep learning applied to voice comparison
Aug 5, 2019 10:00 AM
Melbourne
Emmanuel Ferragne
,
Cédric Gendrot
,
Thomas Pellegrini
Project
Here in my deep purple dreams
On the deep learning approach to phonetics: black boxes?
Emmanuel Ferragne
Last updated on Mar 21, 2023
2 min read
Phonetics and Artificial Intelligence: ready for the paradigm shift?
Modern phonetics has relied, to a large extent, on researchers’ ability to extract patterns from visual representations of speech. In …
Jun 5, 2019 2:00 PM
Aix-en-Provence, Laboratoire Parole et Langage, 5 Avenue Pasteur
Emmanuel Ferragne
Deep learning and voice comparison: phonetically-motivated vs. automatically-learned features
Broadband spectrograms of French vowels /ɑ̃/, /a/, /ɛ/, /e/, /i/, /ə/, and /ɔ/ extracted from radio broadcast corpora were used to …
Cédric Gendrot
,
Emmanuel Ferragne
,
Thomas Pellegrini
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Project
Towards phonetic interpretability in deep learning applied to voice comparison
A deep convolutional neural network was trained to classify 45 speakers based on spectrograms of their productions of the French vowel …
Emmanuel Ferragne
,
Cédric Gendrot
,
Thomas Pellegrini
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Project
VoxCrim
Forensic Voice Comparison
Neural style transfer
Become an artist thanks to AI.
Emmanuel Ferragne
Last updated on Mar 21, 2023
2 min read
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