John Dines

1.6k total citations
58 papers, 903 citations indexed

About

John Dines is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, John Dines has authored 58 papers receiving a total of 903 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Artificial Intelligence, 42 papers in Signal Processing and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in John Dines's work include Speech Recognition and Synthesis (45 papers), Speech and Audio Processing (36 papers) and Music and Audio Processing (26 papers). John Dines is often cited by papers focused on Speech Recognition and Synthesis (45 papers), Speech and Audio Processing (36 papers) and Music and Audio Processing (26 papers). John Dines collaborates with scholars based in Switzerland, United Kingdom and Japan. John Dines's co-authors include Philip N. Garner, Thomas Hain, Lakshmi Babu Saheer, Hui Liang, Vincent Wan, Hervé Bourlard, Mike Lincoln, Jithendra Vepa, Martin Karafiát and Mathew Magimai.-Doss and has published in prestigious journals such as IEEE Journal of Selected Topics in Signal Processing, IEEE Transactions on Audio Speech and Language Processing and Language Resources and Evaluation.

In The Last Decade

John Dines

55 papers receiving 778 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Dines Switzerland 18 755 517 87 66 43 58 903
Nikki Mirghafori United States 14 408 0.5× 343 0.7× 116 1.3× 67 1.0× 49 1.1× 32 539
Alberto Abad Portugal 15 423 0.6× 384 0.7× 94 1.1× 116 1.8× 23 0.5× 101 736
Eduardo Lleida Spain 18 984 1.3× 850 1.6× 142 1.6× 159 2.4× 15 0.3× 145 1.3k
Keiichiro Oura Japan 15 920 1.2× 666 1.3× 107 1.2× 101 1.5× 30 0.7× 69 1.1k
Dimitra Vergyri United States 23 1.3k 1.7× 816 1.6× 243 2.8× 194 2.9× 75 1.7× 62 1.7k
Harry Bratt United States 15 623 0.8× 352 0.7× 116 1.3× 49 0.7× 42 1.0× 41 763
Asunción Moreno Spain 13 868 1.1× 564 1.1× 261 3.0× 128 1.9× 56 1.3× 35 1.1k
Reima Karhila Finland 11 380 0.5× 213 0.4× 112 1.3× 45 0.7× 16 0.4× 30 570
Sachin Kajarekar United States 20 1.3k 1.7× 1.2k 2.3× 84 1.0× 119 1.8× 44 1.0× 52 1.4k
Abhijeet Sangwan United States 14 359 0.5× 317 0.6× 92 1.1× 52 0.8× 8 0.2× 57 517

Countries citing papers authored by John Dines

Since Specialization
Citations

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

Fields of papers citing papers by John Dines

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Dines

This figure shows the co-authorship network connecting the top 25 collaborators of John Dines. A scholar is included among the top collaborators of John Dines 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 John Dines. John Dines 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.
Dines, John, et al.. (2016). Considering Supplier Relations and Monetization in Designing Recommendation Systems. 381–382. 3 indexed citations
2.
Petukhova, Volha, Dietrich Klakow, Petr Motlíček, et al.. (2014). The DBOX Corpus Collection of Spoken Human-Human and Human-Machine Dialogues. Language Resources and Evaluation. 252–258. 14 indexed citations
3.
Biel, Joan-Isaac, et al.. (2013). Hi YouTube!. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 119–126. 47 indexed citations
4.
Saheer, Lakshmi Babu, John Dines, & Philip N. Garner. (2012). Vocal Tract Length Normalization for Statistical Parametric Speech Synthesis. IEEE Transactions on Audio Speech and Language Processing. 20(7). 2134–2148. 14 indexed citations
5.
Saheer, Lakshmi Babu, Hui Liang, John Dines, & Philip N. Garner. (2012). VTLN-Based Rapid Cross-Lingual Adaptation for Statistical Parametric Speech Synthesis. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 4 indexed citations
6.
Dines, John, Hui Liang, Lakshmi Babu Saheer, et al.. (2011). Personalising speech-to-speech translation: Unsupervised cross-lingual speaker adaptation for HMM-based speech synthesis. Computer Speech & Language. 27(2). 420–437. 9 indexed citations
7.
Liang, Hui & John Dines. (2011). Phonological knowledge guided HMM state mapping for cross-lingual speaker adaptation. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1825–1828. 6 indexed citations
8.
Kurimo, Mikko, Bill Byrne, John Dines, et al.. (2010). Personalising Speech-To-Speech Translation in the EMIME Project. ERA. 48–53. 15 indexed citations
9.
Wester, Mirjam, John Dines, Hui Liang, et al.. (2010). Speaker adaptation and the evaluation of speaker similarity in the EMIME speech-to-speech translation project. ERA. 192–197. 19 indexed citations
10.
Liang, Hui, John Dines, & Lakshmi Babu Saheer. (2010). A comparison of supervised and unsupervised cross-lingual speaker adaptation approaches for HMM-based speech synthesis. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 4598–4601. 24 indexed citations
11.
Saheer, Lakshmi Babu, Philip N. Garner, John Dines, & Hui Liang. (2010). VTLN adaptation for statistical speech synthesis. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 103. 4838–4841. 19 indexed citations
12.
Garner, Philip N. & John Dines. (2010). Tracter: a lightweight dataflow framework. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1894–1897. 6 indexed citations
13.
Yamagishi, Junichi, et al.. (2009). Analysis of Unsupervised and Noise-Robust Speaker-Adaptive HMM-Based Speech Synthesis Systems toward a Unified ASR and TTS Framework. Edinburgh Research Explorer (University of Edinburgh). 49–56. 7 indexed citations
14.
Yamagishi, Junichi, Bela Usabaev, Simon King, et al.. (2009). The 10th Annual Conference of the International Speech Communication Association, INTERSPEECH 2009. 21 indexed citations
15.
Dines, John, Lakshmi Babu Saheer, & Hui Liang. (2009). Speech recognition with speech synthesis models by marginalising over decision tree leaves. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1395–1398. 12 indexed citations
16.
Salamin, Hugues, et al.. (2008). Role recognition in multiparty recordings using social affiliation networks and discrete distributions. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 29–36. 20 indexed citations
17.
Dines, John & Jithendra Vepa. (2007). Direct optimisation of a multilayer perceptron for the estimation of cepstral mean and variance statistics. 2921–2924. 2 indexed citations
18.
Hain, Thomas, John Dines, Giulia Garau, et al.. (2005). Proceedings of the 9th European Conference on Speech Communication and Technology. Conference of the International Speech Communication Association. 37 indexed citations
19.
Dines, John, et al.. (2004). Using RASTA in task independent TANDEM feature extraction. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2117–2120. 1 indexed citations
20.
Magimai.-Doss, Mathew, John Dines, Hervé Bourlard, & Hynek Heřmanský. (2004). Phoneme vs Grapheme Based Automatic Speech Recognition. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Nikki Mirghafori Breakdown of academic impact, for papers by Alberto Abad Breakdown of academic impact, for papers by Eduardo Lleida Breakdown of academic impact, for papers by Keiichiro Oura Breakdown of academic impact, for papers by Dimitra Vergyri Breakdown of academic impact, for papers by Harry Bratt Breakdown of academic impact, for papers by Asunción Moreno Breakdown of academic impact, for papers by Reima Karhila Breakdown of academic impact, for papers by Sachin Kajarekar Breakdown of academic impact, for papers by Abhijeet Sangwan
Rankless by CCL
2026