David Imseng

701 total citations
37 papers, 524 citations indexed

About

David Imseng is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, David Imseng has authored 37 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 33 papers in Signal Processing and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in David Imseng's work include Speech Recognition and Synthesis (36 papers), Speech and Audio Processing (30 papers) and Music and Audio Processing (29 papers). David Imseng is often cited by papers focused on Speech Recognition and Synthesis (36 papers), Speech and Audio Processing (30 papers) and Music and Audio Processing (29 papers). David Imseng collaborates with scholars based in Switzerland, United States and Australia. David Imseng's co-authors include Hervé Bourlard, Petr Motlíček, Philip N. Garner, Mathew Magimai.-Doss, Gerald Friedland, John Dines, Tanja Schultz, Daniel Povey, Ngoc Thang Vu and Ramya Rasipuram and has published in prestigious journals such as IEEE Transactions on Audio Speech and Language Processing, Speech Communication and Sadhana.

In The Last Decade

David Imseng

34 papers receiving 434 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Imseng Switzerland 15 493 393 37 15 10 37 524
Aaron Lawson United States 11 439 0.9× 413 1.1× 19 0.5× 40 2.7× 7 0.7× 41 500
Kai Feng Czechia 6 472 1.0× 396 1.0× 28 0.8× 35 2.3× 6 0.6× 9 518
Tomoki Koriyama Japan 10 320 0.6× 247 0.6× 50 1.4× 22 1.5× 10 1.0× 51 379
Yatharth Saraf United States 9 385 0.8× 225 0.6× 23 0.6× 57 3.8× 8 0.8× 17 459
Cheung-Chi Leung Singapore 16 684 1.4× 537 1.4× 36 1.0× 63 4.2× 7 0.7× 57 748
Da-Rong Liu Taiwan 7 440 0.9× 300 0.8× 61 1.6× 24 1.6× 4 0.4× 9 508
Venkata Ramana Rao Gadde United States 9 293 0.6× 259 0.7× 31 0.8× 37 2.5× 7 0.7× 13 344
Matt Shannon United Kingdom 11 317 0.6× 250 0.6× 16 0.4× 26 1.7× 5 0.5× 13 372
Nagendra Kumar Goel India 8 585 1.2× 496 1.3× 99 2.7× 43 2.9× 6 0.6× 13 663
Shakti P. Rath India 9 468 0.9× 359 0.9× 37 1.0× 19 1.3× 8 0.8× 23 490

Countries citing papers authored by David Imseng

Since Specialization
Citations

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

Fields of papers citing papers by David Imseng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Imseng

This figure shows the co-authorship network connecting the top 25 collaborators of David Imseng. A scholar is included among the top collaborators of David Imseng 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 David Imseng. David Imseng 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.
Himawan, Ivan, Petr Motlíček, David Imseng, & Sridha Sridharan. (2016). Feature mapping using far-field microphones for distant speech recognition. Speech Communication. 83. 1–9. 4 indexed citations
2.
Himawan, Ivan, et al.. (2015). Learning feature mapping using deep neural network bottleneck features for distant large vocabulary speech recognition. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 4540–4544. 21 indexed citations
3.
Madikeri, Srikanth, David Imseng, & Hervé Bourlard. (2015). Improving Real Time Factor of Information Bottleneck-based Speaker Diarization System. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1 indexed citations
4.
Motlíček, Petr, et al.. (2015). Preliminary Work on Speaker Adaptation for DNN-Based Speech Synthesis. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 12 indexed citations
5.
Gosztolya, Gábor, Tamás Grósz, László Tóth, & David Imseng. (2015). Building context-dependent DNN acoustic models using Kullback-Leibler divergence-based state tying. SZTE Publicatio Repozitórium (University of Szeged). 4570–4574. 4 indexed citations
6.
Garner, Philip N., David Imseng, & Thomas Meyer. (2014). Automatic speech recognition and translation of a Swiss German dialect: Walliserdeutsch. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2118–2122. 7 indexed citations
7.
Imseng, David, et al.. (2014). Exploiting un-transcribed foreign data for speech recognition in well-resourced languages. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2322–2326. 15 indexed citations
8.
Motlíček, Petr, David Imseng, Miloš Cerňak, & Namhoon Kim. (2014). Development of bilingual ASR system for MediaParl corpus. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1391–1394. 1 indexed citations
9.
Vu, Ngoc Thang, David Imseng, Daniel Povey, et al.. (2014). Multilingual deep neural network based acoustic modeling for rapid language adaptation. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 7639–7643. 87 indexed citations
10.
Garner, Philip N. & David Imseng. (2013). Statistical models for HMM/ANN hybrids. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1 indexed citations
11.
Imseng, David. (2013). Multilingual speech recognition : a posterior based approach. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3 indexed citations
12.
Imseng, David, Hervé Bourlard, John Dines, Philip N. Garner, & Mathew Magimai.-Doss. (2013). Applying Multi- and Cross-Lingual Stochastic Phone Space Transformations to Non-Native Speech Recognition. IEEE Transactions on Audio Speech and Language Processing. 21(8). 1713–1726. 6 indexed citations
13.
Imseng, David, Hervé Bourlard, & Philip N. Garner. (2012). Using KL-divergence and multilingual information to improve ASR for under-resourced languages. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 30 indexed citations
14.
Imseng, David, Hervé Bourlard, & Philip N. Garner. (2012). Boosting under-resourced speech recognizers by exploiting out of language data - Case study on Afrikaans. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 60–67. 9 indexed citations
15.
Imseng, David, John Dines, Petr Motlíček, Philip N. Garner, & Hervé Bourlard. (2012). Comparing different acoustic modeling techniques for multilingual boosting. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1191–1194. 30 indexed citations
16.
Motlíček, Petr, Philip N. Garner, David Imseng, & Fabio Valente. (2012). Application of Subspace Gaussian Mixture Models in Contrastive Acoustic Scenarios. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1 indexed citations
17.
Bourlard, Hervé, John Dines, Mathew Magimai.-Doss, et al.. (2011). Current trends in multilingual speech processing. Sadhana. 36(5). 885–915. 22 indexed citations
18.
Imseng, David & Gerald Friedland. (2010). An adaptive initialization method for speaker Diarization based on prosodic features. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 4625 2008. 4946–4949. 4 indexed citations
19.
Imseng, David, Hervé Bourlard, & Mathew Magimai.-Doss. (2010). Towards mixed language speech recognition systems. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 278–281. 22 indexed citations
20.
Stolcke, Andreas, Gerald Friedland, & David Imseng. (2010). Leveraging speaker diarization for meeting recognition from distant microphones. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3869. 4390–4393. 12 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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