Boris Doval

1.1k total citations
28 papers, 648 citations indexed

About

Boris Doval is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Boris Doval has authored 28 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Signal Processing, 19 papers in Artificial Intelligence and 12 papers in Experimental and Cognitive Psychology. Recurrent topics in Boris Doval's work include Speech Recognition and Synthesis (19 papers), Speech and Audio Processing (18 papers) and Phonetics and Phonology Research (12 papers). Boris Doval is often cited by papers focused on Speech Recognition and Synthesis (19 papers), Speech and Audio Processing (18 papers) and Phonetics and Phonology Research (12 papers). Boris Doval collaborates with scholars based in France and Belgium. Boris Doval's co-authors include Christophe d’Alessandro, Nathalie Henrich Bernardoni, Michèle Castellengo, X. Rodet, Thierry Dutoit, Barış Bozkurt, Nicolas d’Alessandro, Xavier Rodet, Thomas Hélie and Xiao Xiao and has published in prestigious journals such as The Journal of the Acoustical Society of America, IEEE Signal Processing Letters and Journal of Voice.

In The Last Decade

Boris Doval

28 papers receiving 554 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Boris Doval France 14 417 348 317 317 85 28 648
Bert Cranen Netherlands 14 457 1.1× 171 0.5× 364 1.1× 184 0.6× 58 0.7× 68 689
David Talkin United States 12 311 0.7× 185 0.5× 201 0.6× 263 0.8× 68 0.8× 21 520
Michèle Castellengo France 8 306 0.7× 377 1.1× 170 0.5× 323 1.0× 37 0.4× 17 548
Matti Airas Finland 11 292 0.7× 221 0.6× 195 0.6× 237 0.7× 31 0.4× 20 439
Louis Boves Netherlands 14 402 1.0× 178 0.5× 207 0.7× 326 1.0× 26 0.3× 50 632
Donald G. Miller Netherlands 15 281 0.7× 529 1.5× 197 0.6× 426 1.3× 34 0.4× 26 672
Guus de Krom Netherlands 7 291 0.7× 435 1.3× 180 0.6× 330 1.0× 12 0.1× 8 577
Steven M. Lulich United States 13 349 0.8× 160 0.5× 215 0.7× 278 0.9× 22 0.3× 76 460
Jo Estill United States 6 251 0.6× 194 0.6× 191 0.6× 187 0.6× 24 0.3× 10 399
Sudarsana Reddy Kadiri Finland 17 633 1.5× 292 0.8× 617 1.9× 257 0.8× 60 0.7× 80 884

Countries citing papers authored by Boris Doval

Since Specialization
Citations

This map shows the geographic impact of Boris Doval'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 Boris Doval with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boris Doval more than expected).

Fields of papers citing papers by Boris Doval

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Boris Doval. 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 Boris Doval. The network helps show where Boris Doval may publish in the future.

Co-authorship network of co-authors of Boris Doval

This figure shows the co-authorship network connecting the top 25 collaborators of Boris Doval. A scholar is included among the top collaborators of Boris Doval 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 Boris Doval. Boris Doval 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.
d’Alessandro, Christophe, et al.. (2017). Cantor Digitalis: chironomic parametric synthesis of singing. EURASIP Journal on Audio Speech and Music Processing. 2017(1). 11 indexed citations
2.
3.
Doval, Boris, et al.. (2012). Toward a More Informative Voice Range Profile: The Role of Laryngeal Vibratory Mechanisms on Vowels Dynamic Range. Journal of Voice. 26(5). 672.e9–672.e18. 15 indexed citations
4.
d’Alessandro, Christophe, et al.. (2010). Glottal parameters estimation on speech using the zeros of the z-transform. SPIRE - Sciences Po Institutional REpository. 665–668. 2 indexed citations
5.
Doval, Boris, et al.. (2008). Phonetograms of laryngeal source parameters for different vowels and laryngeal mechanisms. The Journal of the Acoustical Society of America. 123(5_Supplement). 3243–3243. 5 indexed citations
6.
d’Alessandro, Nicolas, et al.. (2007). Realtime and accurate musical control of expression in singing synthesis. Journal on Multimodal User Interfaces. 1(1). 31–39. 12 indexed citations
7.
d’Alessandro, Nicolas, et al.. (2006). Real-Time Calm Synthesizer: New Approaches In Hands-Controlled Voice Synthesis. Zenodo (CERN European Organization for Nuclear Research). 266–271. 15 indexed citations
8.
Bernardoni, Nathalie Henrich, Christophe d’Alessandro, Boris Doval, & Michèle Castellengo. (2005). Glottal open quotient in singing: Measurements and correlation with laryngeal mechanisms, vocal intensity, and fundamental frequency. The Journal of the Acoustical Society of America. 117(3). 1417–1430. 120 indexed citations
9.
Bernardoni, Nathalie Henrich, Christophe d’Alessandro, Boris Doval, & Michèle Castellengo. (2004). On the use of the derivative of electroglottographic signals for characterization of nonpathological phonation. The Journal of the Acoustical Society of America. 115(3). 1321–1332. 178 indexed citations
10.
Doval, Boris, Barış Bozkurt, Christophe d’Alessandro, & Thierry Dutoit. (2004). Zeros of z-transform (ZZT) decomposition of speech for source-tract separation. 1093–1096. 8 indexed citations
11.
Bozkurt, Barış, Thierry Dutoit, Boris Doval, & Christophe d’Alessandro. (2004). A method for glottal formant frequency estimation. 2417–2420. 13 indexed citations
12.
Bernardoni, Nathalie Henrich, et al.. (2003). Just noticeable differences of open quotient and asymmetry coefficient in singing voice. Journal of Voice. 17(4). 481–494. 23 indexed citations
13.
Doval, Boris & Christophe d’Alessandro. (2002). Spectral correlates of glottal waveform models: an analytic study. 2. 1295–1298. 17 indexed citations
14.
Bernardoni, Nathalie Henrich, Christophe d’Alessandro, & Boris Doval. (2001). Spectral correlates of voice open quotient and glottal flow asymmetry : theory, limits and experimental data. 47–50. 42 indexed citations
15.
Bernardoni, Nathalie Henrich, Boris Doval, & Christophe d’Alessandro. (1999). Glottal open quotient estimation using linear prediction.. 12–17. 10 indexed citations
16.
Doval, Boris, et al.. (1999). On the waveforms and spectra of glottal flow models. The Journal of the Acoustical Society of America. 105(2_Supplement). 1304–1304. 1 indexed citations
17.
d’Alessandro, Christophe & Boris Doval. (1998). Experiments in voice quality modification of natural speech signals: the spectral approach.. SSW. 277–282. 13 indexed citations
18.
Doval, Boris & X. Rodet. (1993). Fundamental frequency estimation and tracking using maximum likelihood harmonic matching and HMMs. IEEE International Conference on Acoustics Speech and Signal Processing. 221–224 vol.1. 30 indexed citations
19.
Rodet, Xavier & Boris Doval. (1992). Maximum-likelihood harmonic matching for fundamental frequency estimation. The Journal of the Acoustical Society of America. 92(4_Supplement). 2428–2429. 2 indexed citations
20.
Rodet, Xavier & Boris Doval. (1991). Fundamental Frequency Estimation Using a New Harmonic Matching Method. The Journal of the Abraham Lincoln Association. 1991. 3 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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