D-Index & Metrics Best Publications

Bertrand David

Télécom ParisTech
France

D-Index & Metrics 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.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 31 Citations 4,629 212 World Ranking 9800 National Ranking 239

Overview

What is he best known for?

The fields of study Bertrand David is best known for:

Enzyme
Fourier transform
Vibration

His research investigates the connection with Extension (predicate logic) and areas like Programming language which intersect with concerns in Set (abstract data type). His Programming language research extends to the thematically linked field of Set (abstract data type). His study looks at the relationship between Filter (signal processing) and topics such as Computer vision, which overlap with Spectrogram. His research on Spectrogram often connects related topics like Computer vision. Bertrand David combines Organic chemistry and Urea in his studies. Bertrand David integrates many fields, such as Urea and Enzyme, in his works. He merges Enzyme with Lactate dehydrogenase in his research. His Chromatography study frequently links to adjacent areas such as Freeze-drying. He applies his multidisciplinary studies on Freeze-drying and Solvent in his research.

His most cited work include:

Multipitch Estimation of Piano Sounds Using a New Probabilistic Spectral Smoothness Principle (265 citations)
A literature survey on smart cities (192 citations)
Mechanisms of pore formation in hydrogel scaffolds textured by freeze-drying (100 citations)

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

His Paleontology study, which is part of a larger body of work in Context (archaeology), is frequently linked to Human–computer interaction, bridging the gap between disciplines. Bertrand David frequently studies issues relating to Context (archaeology) and Paleontology. His Speech recognition study typically links adjacent topics like Speech coding. His research is interdisciplinary, bridging the disciplines of Audio signal processing and Speech coding. Bertrand David integrates Audio signal processing and Audio signal in his studies. His Audio signal study frequently draws connections between related disciplines such as Speech recognition. His Composite material study often links to related topics such as Porosity. His Porosity study typically links adjacent topics like Composite material. Visual arts is frequently linked to Musical in his study.

Bertrand David most often published in these fields:

Speech recognition (28.57%)
Acoustics (28.57%)
Human–computer interaction (21.43%)

What were the highlights of his more recent work (between 2017-2020)?

Organic chemistry (40.00%)
Composite material (40.00%)
Recommender system (40.00%)

In recent works Bertrand David was focusing on the following fields of study:

His studies examine the connections between Visual arts and genetics, as well as such issues in Style (visual arts), with regards to Archaeology. While working on this project, Bertrand David studies both Archaeology and Style (visual arts). As part of his studies on Organic chemistry, he often connects relevant areas like Porosity. Porosity connects with themes related to Organic chemistry in his study. Composite material is closely attributed to Shear stress in his work. Shear stress is frequently linked to Composite material in his study. He performs multidisciplinary study in the fields of Recommender system and Collaborative filtering via his papers. His research links Separation (statistics) with Machine learning. His study brings together the fields of Machine learning and Separation (statistics).

Between 2017 and 2020, his most popular works were:

Mechanisms of pore formation in hydrogel scaffolds textured by freeze-drying (100 citations)
Enhanced learning resource recommendation based on online learning style model (39 citations)
Model-Based STFT Phase Recovery for Audio Source Separation (33 citations)

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

A literature survey on smart cities

Chuantao Yin;Zhang Xiong;Hui Chen;Jingyuan Wang.
Science in China Series F: Information Sciences (2015)

427 Citations

Multipitch Estimation of Piano Sounds Using a New Probabilistic Spectral Smoothness Principle

Valentin Emiya;Roland Badeau;Bertrand David.
IEEE Transactions on Audio, Speech, and Language Processing (2010)

380 Citations

Fast approximated power iteration subspace tracking

R. Badeau;B. David;G. Richard.
IEEE Transactions on Signal Processing (2005)

241 Citations

Source/Filter Model for Unsupervised Main Melody Extraction From Polyphonic Audio Signals

J.-L. Durrieu;G. Richard;B. David;C. Fevotte.
IEEE Transactions on Audio, Speech, and Language Processing (2010)

234 Citations

Instrument recognition in polyphonic music based on automatic taxonomies

S. Essid;G. Richard;B. David.
IEEE Transactions on Audio, Speech, and Language Processing (2006)

177 Citations

A Musically Motivated Mid-Level Representation for Pitch Estimation and Musical Audio Source Separation

J. Durrieu;B. David;G. Richard.
IEEE Journal of Selected Topics in Signal Processing (2011)

167 Citations

Musical instrument recognition by pairwise classification strategies

S. Essid;G. Richard;B. David.
IEEE Transactions on Audio, Speech, and Language Processing (2006)

162 Citations

Tempo And Beat Estimation Of Musical Signals.

Miguel A. Alonso;Gaël Richard;Bertrand David.
international symposium/conference on music information retrieval (2004)

138 Citations

Vocal detection in music with support vector machines

M. Ramona;G. Richard;B. David.
international conference on acoustics, speech, and signal processing (2008)

121 Citations

Score informed audio source separation using a parametric model of non-negative spectrogram

Romain Hennequin;Bertrand David;Roland Badeau.
international conference on acoustics, speech, and signal processing (2011)

119 Citations

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Frequent Co-Authors

External Links

Personal Website for Bertrand David