Nicolas Audibert

477 total citations
37 papers, 163 citations indexed

About

Nicolas Audibert is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Nicolas Audibert has authored 37 papers receiving a total of 163 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Experimental and Cognitive Psychology, 19 papers in Artificial Intelligence and 9 papers in Signal Processing. Recurrent topics in Nicolas Audibert's work include Phonetics and Phonology Research (24 papers), Speech Recognition and Synthesis (12 papers) and Speech and dialogue systems (7 papers). Nicolas Audibert is often cited by papers focused on Phonetics and Phonology Research (24 papers), Speech Recognition and Synthesis (12 papers) and Speech and dialogue systems (7 papers). Nicolas Audibert collaborates with scholars based in France, United States and United Kingdom. Nicolas Audibert's co-authors include Véronique Aubergé, Albert Rilliard, Simone Falk, Cécile Fougeron, Petri Laukka, Levent M. Arslan, Lori Malatesta, Oytun Türk, Felix Burkhardt and Damien Vincent and has published in prestigious journals such as The Journal of the Acoustical Society of America, Cognition & Emotion and Language Resources and Evaluation.

In The Last Decade

Nicolas Audibert

32 papers receiving 156 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nicolas Audibert France 9 111 50 41 38 22 37 163
Albert Rilliard France 10 179 1.6× 96 1.9× 69 1.7× 39 1.0× 34 1.5× 69 259
Lukas Wiget United Kingdom 5 196 1.8× 60 1.2× 36 0.9× 116 3.1× 72 3.3× 7 249
Bogdan Ludusan Germany 8 131 1.2× 112 2.2× 43 1.0× 9 0.2× 30 1.4× 38 184
Wentao Gu China 9 202 1.8× 147 2.9× 78 1.9× 40 1.1× 53 2.4× 57 282
Chandan Narayan Canada 7 209 1.9× 39 0.8× 25 0.6× 44 1.2× 36 1.6× 13 276
Emmanuel Ferragne France 10 171 1.5× 84 1.7× 47 1.1× 86 2.3× 99 4.5× 34 262
Alejandrina Cristià France 4 162 1.5× 55 1.1× 40 1.0× 47 1.2× 65 3.0× 4 231
Thomas Kisler Germany 3 204 1.8× 160 3.2× 40 1.0× 46 1.2× 111 5.0× 8 305
Jorge A. Gurlekian Argentina 8 165 1.5× 98 2.0× 40 1.0× 25 0.7× 92 4.2× 43 248
George L. Huttar United States 8 70 0.6× 22 0.4× 28 0.7× 30 0.8× 46 2.1× 16 155

Countries citing papers authored by Nicolas Audibert

Since Specialization
Citations

This map shows the geographic impact of Nicolas Audibert's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nicolas Audibert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Audibert more than expected).

Fields of papers citing papers by Nicolas Audibert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicolas Audibert. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nicolas Audibert. The network helps show where Nicolas Audibert may publish in the future.

Co-authorship network of co-authors of Nicolas Audibert

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Audibert. A scholar is included among the top collaborators of Nicolas Audibert based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicolas Audibert. Nicolas Audibert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Audibert, Nicolas, et al.. (2023). Evaluation of delexicalization methods for research on emotional speech. HAL AMU. 2618–2622. 1 indexed citations
2.
Kühnert, Barbara, et al.. (2023). Performative Vocal Synthesis for Foreign Language Intonation Practice. SPIRE - Sciences Po Institutional REpository. 1–9. 1 indexed citations
3.
Falk, Simone & Nicolas Audibert. (2021). Acoustic signatures of communicative dimensions in codified mother-infant interactions. The Journal of the Acoustical Society of America. 150(6). 4429–4437. 6 indexed citations
4.
Gendrot, Cédric & Nicolas Audibert. (2019). La distinction /e/ vs /ɛ/ en français standard est-elle maintenue en finale de mot ? Étude sur des corpus de parole journalistique et de parole spontanée. Langue française. N° 203(3). 53–66. 1 indexed citations
5.
Vasilescu, Ioana, et al.. (2019). “ Gra[f] e!” Word-Final Devoicing of Obstruents in Standard French: An Acoustic Study Based on Large Corpora. HAL (Le Centre pour la Communication Scientifique Directe). 1726–1730. 4 indexed citations
6.
Crevier‐Buchman, Lise, Samer Al Kork, Martine Adda‐Decker, et al.. (2015). Acoustic Data Analysis from Multi-Sensor Capture in Rare Singing: Cantu in Paghjella Case Study. HAL (Le Centre pour la Communication Scientifique Directe). 4(1). 121–132. 2 indexed citations
7.
Crevier‐Buchman, Lise, Samer Al Kork, Martine Adda‐Decker, et al.. (2014). Acoustic Data Analysis from Multi-Sensor Capture in Rare Singing: Cantu in Paghjella Case Study. HAL (Le Centre pour la Communication Scientifique Directe). 5. 1 indexed citations
8.
Adda‐Decker, Martine, Nicolas Audibert, B. Denby, et al.. (2014). An educational platform to capture, visualize and analyze rare singing. HAL (Le Centre pour la Communication Scientifique Directe). 2128–2129. 5 indexed citations
9.
Audibert, Nicolas & Cécile Fougeron. (2012). Distorsions de l'espace vocalique : quelles mesures? Application `a la dysarthrie (Distortions of vocalic space: which measurements? An application to dysarthria.) [in French]. 217–224.
10.
Kahn, Juliette, Nicolas Audibert, Jean-François Bonastre, & Solange Rossato. (2011). Inter and Intra-speaker Variability in French: An Analysis of Oral Vowels and Its Implication for Automatic Speaker Verification.. ICPhS. 1002–1005. 5 indexed citations
11.
Laukka, Petri, Nicolas Audibert, & Véronique Aubergé. (2011). Exploring the determinants of the graded structure of vocal emotion expressions. Cognition & Emotion. 26(4). 710–719. 15 indexed citations
12.
13.
Audibert, Nicolas, Véronique Aubergé, & Albert Rilliard. (2010). Prosodic correlates of acted vs. spontaneous discrimination of expressive speech: a pilot study. paper 097–0. 11 indexed citations
14.
Laukka, Petri, Nicolas Audibert, & Véronique Aubergé. (2009). Exploring the graded structure of vocal emotion expressions. 241–258. 2 indexed citations
15.
Burkhardt, Felix, Nicolas Audibert, Lori Malatesta, et al.. (2006). Emotional prosody - does culture make a difference?. 15 indexed citations
16.
Audibert, Nicolas, Damien Vincent, Véronique Aubergé, & Olivier Rosec. (2006). Expressive speech synthesis: evaluation of a voice quality centered coder on the different acoustic dimensions. paper 125–0. 8 indexed citations
17.
Audibert, Nicolas, Véronique Aubergé, & Albert Rilliard. (2005). The prosodic dimensions of emotion in speech: the relative weights of parameters. HAL (Le Centre pour la Communication Scientifique Directe). 525–528. 11 indexed citations
18.
Aubergé, Véronique, et al.. (2004). Evaluating an Authentic Audio-Visual Expressive Speech Corpus. Language Resources and Evaluation. 2 indexed citations
19.
Aubergé, Véronique, et al.. (2004). E-Wiz: a Trapper Protocol for Hunting the Expressive Speech Corpora in Lab. Language Resources and Evaluation. 10 indexed citations
20.
Aubergé, Véronique, Nicolas Audibert, & Albert Rilliard. (2004). Acoustic morphology of expressive speech: what about contours?. 201–204. 6 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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