D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 35 Citations 7,708 223 World Ranking 5936 National Ranking 59

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Speech recognition
  • Machine learning

Thierry Dutoit focuses on Speech recognition, Speech synthesis, Artificial intelligence, Speech processing and Electroencephalography. Thierry Dutoit studies Speech recognition, focusing on Speech coding in particular. His research in Speech synthesis is mostly focused on MBROLA.

His Artificial intelligence research is multidisciplinary, incorporating elements of Natural language processing, Machine learning and Pattern recognition. The various areas that Thierry Dutoit examines in his Speech processing study include Event, Noise, Filter and Robustness. His work on Brain–computer interface as part of general Electroencephalography research is frequently linked to Assessment methods, bridging the gap between disciplines.

His most cited work include:

  • An introduction to text-to-speech synthesis (501 citations)
  • The MBROLA project: towards a set of high quality speech synthesizers free of use for non commercial purposes (400 citations)
  • Detection of Glottal Closure Instants From Speech Signals: A Quantitative Review (184 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Speech recognition, Artificial intelligence, Speech synthesis, Hidden Markov model and Speech processing. His studies deal with areas such as Feature extraction and Laughter as well as Speech recognition. His work investigates the relationship between Artificial intelligence and topics such as Pattern recognition that intersect with problems in Artificial neural network.

His Speech synthesis study focuses on MBROLA in particular. His studies in Hidden Markov model integrate themes in fields like Articulation, Motion capture and Interpolation. In his study, which falls under the umbrella issue of Speech processing, Waveform is strongly linked to Robustness.

He most often published in these fields:

  • Speech recognition (53.27%)
  • Artificial intelligence (35.51%)
  • Speech synthesis (27.41%)

What were the highlights of his more recent work (between 2018-2021)?

  • Speech recognition (53.27%)
  • Artificial intelligence (35.51%)
  • Speech synthesis (27.41%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Speech recognition, Artificial intelligence, Speech synthesis, Deep learning and Hidden Markov model. His primary area of study in Speech recognition is in the field of Speech processing. His Artificial intelligence study combines topics in areas such as Machine learning and Computer vision.

His Speech synthesis research is multidisciplinary, relying on both Recurrent neural network, Parametric statistics, Interpolation, Algorithm and Style. His Deep learning research includes themes of Leverage, Natural language processing, Field, View synthesis and Visualization. In his study, Principal component analysis is inextricably linked to Quality, which falls within the broad field of Hidden Markov model.

Between 2018 and 2021, his most popular works were:

  • Visualization and Interpretation of Latent Spaces for Controlling Expressive Speech Synthesis through Audio Analysis (18 citations)
  • Exploring Transfer Learning for Low Resource Emotional TTS (9 citations)
  • Detection and identification of European woodpeckers with deep convolutional neural networks (6 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Speech recognition
  • Programming language

Thierry Dutoit mostly deals with Artificial intelligence, Speech synthesis, Deep learning, Field and Human–computer interaction. Thierry Dutoit combines topics linked to Computer vision with his work on Artificial intelligence. The concepts of his Speech synthesis study are interwoven with issues in Recurrent neural network, Parametric statistics, Natural language processing, Visualization and Algorithm.

His Deep learning research includes elements of Speech recognition, Representation, Leverage and Interpolation. He has researched Field in several fields, including Sorting and View synthesis. Thierry Dutoit combines subjects such as Perception, Clickable, Interface and Plot with his study of Human–computer interaction.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

An introduction to text-to-speech synthesis

Thierry Dutoit.
(1997)

1136 Citations

The MBROLA project: towards a set of high quality speech synthesizers free of use for non commercial purposes

T. Dutoit;V. Pagel;N. Pierret;F. Bataille.
international conference on spoken language processing (1996)

697 Citations

Performance of the Emotiv Epoc headset for P300-based applications

Matthieu Duvinage;Thierry Castermans;Mathieu Petieau;Thomas Hoellinger.
Biomedical Engineering Online (2013)

318 Citations

Traitement de la Parole

R. Boite;Hervé Bourlard;T. Dutoit;J. Hancq.
(2000)

282 Citations

MBR-PSOLA: Text-To-Speech synthesis based on an MBE re-synthesis of the segments database

T. Dutoit;H. Leich.
Speech Communication (1993)

247 Citations

Detection of Glottal Closure Instants From Speech Signals: A Quantitative Review

T. Drugman;M. Thomas;J. Gudnason;P. Naylor.
IEEE Transactions on Audio, Speech, and Language Processing (2012)

229 Citations

Saliency and Human Fixations: State-of-the-Art and Study of Comparison Metrics

Nicolas Riche;Matthieu Duvinage;Matei Mancas;Bernard Gosselin.
international conference on computer vision (2013)

215 Citations

A probabilistic framework for dialog simulation and optimal strategy learning

O. Pietquin;T. Dutoit.
IEEE Transactions on Audio, Speech, and Language Processing (2006)

197 Citations

RARE2012: A multi-scale rarity-based saliency detection with its comparative statistical analysis

Nicolas Riche;Matei Mancas;Matthieu Duvinage;Makiese Mibulumukini.
Signal Processing-image Communication (2013)

190 Citations

Glottal closure and opening instant detection from speech signals.

Thomas Drugman;Thierry Dutoit.
conference of the international speech communication association (2009)

167 Citations

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