Author
Léon Auger
Bio: Léon Auger is an academic researcher. The author has an hindex of 1, co-authored 2 publications receiving 550 citations.
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631 citations
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20 Nov 2016
TL;DR: The aim is to recognise the words being spoken by a talking face, given only the video but not the audio, in a controlled environment.
Abstract: Our aim is to recognise the words being spoken by a talking face, given only the video but not the audio. Existing works in this area have focussed on trying to recognise a small number of utterances in controlled environments (e.g. digits and alphabets), partially due to the shortage of suitable datasets.
527 citations
TL;DR: Current advances related to automatic speech recognition (ASR) and spoken language systems and deficiencies in dealing with variation naturally present in speech are outlined.
507 citations
02 Mar 2009
TL;DR: Text-to-Speech Synthesis provides an in-depth explanation of all aspects of current speech synthesis technology, and is designed for graduate students in electrical engineering, computer science, and linguistics.
Abstract: Text-to-Speech Synthesis provides a complete, end-to-end account of the process of generating speech by computer. Giving an in-depth explanation of all aspects of current speech synthesis technology, it assumes no specialized prior knowledge. Introductory chapters on linguistics, phonetics, signal processing and speech signals lay the foundation, with subsequent material explaining how this knowledge is put to use in building practical systems that generate speech. Including coverage of the very latest techniques such as unit selection, hidden Markov model synthesis, and statistical text analysis, explanations of the more traditional techniques such as format synthesis and synthesis by rule are also provided. Weaving together the various strands of this multidisciplinary field, the book is designed for graduate students in electrical engineering, computer science, and linguistics. It is also an ideal reference for practitioners in the fields of human communication interaction and telephony.
478 citations
20 Jun 2015
TL;DR: A method for imaging 3D phase objects in a tomographic configuration implemented by training an artificial neural network to reproduce the complex amplitude of the experimentally measured scattered light is described.
Abstract: Optical tomography has been widely investigated for biomedical imaging applications. In recent years optical tomography has been combined with digital holography and has been employed to produce high-quality images of phase objects such as cells. In this paper we describe a method for imaging 3D phase objects in a tomographic configuration implemented by training an artificial neural network to reproduce the complex amplitude of the experimentally measured scattered light. The network is designed such that the voxel values of the refractive index of the 3D object are the variables that are adapted during the training process. We demonstrate the method experimentally by forming images of the 3D refractive index distribution of Hela cells.
340 citations
18 Feb 2012
TL;DR: In this article, the authors published a journal article entitled "Journal of Modern Foreign Psychology 2018, vol. 7, no. 2, pp. 90 and 99, with the following abstracts:
Abstract: © 2018 ФГБОУ ВО МГППУ «Московский государственный психолого-педагогический университет» © 2018 Moscow State University of Psychology & Education E-journal «Journal of Modern Foreign Psychology» 2018, vol. 7, no. 2, pp. 90—99. doi: 10.17759/jmfp.2018070209 ISSN: 2304-4977 (online) Электронный журнал «Современная зарубежная психология» 2018. Том 7. No 2. С. 90—99. doi: 10.17759/jmfp.2018070209 ISSN: 2304-4977 (online)
289 citations