Mike Plumpe

815 citations
10 papers · 523 indexed · h-index 8
Topics
Speech Recognition and Synthesis (7 papers)Speech and Audio Processing (6 papers)Speech and dialogue systems (5 papers)
Journals
IEEE Transactions on Speech and Audio ProcessingSSW4th International Conference on Spoken Language Processing (ICSLP 1996)
Partner nations
United States

In The Last Decade

Mike Plumpe

10 papers receiving 446 citations

Peers

Mike Plumpe
Comparison fields: 5 of 34
  • Artificial Intelligence 470
  • Signal Processing 375
  • Experimental and Cognitive Psychology 77
  • Physiology 51
  • Computer Vision and Pattern Recognition 48
Replace Miloš Cerňak with:
Miloš Cerňak Switzerland
Torbjørn Svendsen Norway
Harald Höge Germany
Mats Blomberg Sweden
Sorin Dusan United States
Ravichander Vipperla United Kingdom
Qiantong Xu Israel
Akira Sasou Japan
V.R.R. Gadde United States
Toshiaki Fukada Japan
Mike Plumpe relative to Miloš Cerňak Switzerland Miloš Cerňak's profile →
Citations per field
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Miloš Cerňak · 1×
Citations per year

Countries citing papers authored by Mike Plumpe

Since Specialization
Citations

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

Fields of papers citing papers by Mike Plumpe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mike Plumpe

This figure shows the co-authorship network connecting the top 25 collaborators of Mike Plumpe. A scholar is included among the top collaborators of Mike Plumpe 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 Mike Plumpe. Mike Plumpe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 37
2 35
3 26
4 35
5 146
6 203
7
Which is more important in a concatenative text to speech system - pitch, duration, or spectral discontinuity?
5
8 19
9 5
10 12

About Mike Plumpe

Mike Plumpe is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 10 papers that have together received 523 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (7 papers), Speech and Audio Processing (6 papers) and Speech and dialogue systems (5 papers). The work is most often cited by research in Signal Processing (375 citations), Artificial Intelligence (470 citations) and Experimental and Cognitive Psychology (77 citations). Mike Plumpe has collaborated with scholars based in United States. Frequent co-authors include D.A. Reynolds, Thomas F. Quatieri, Alex Acero, Xuedong Huang, Li Deng, Hsiao-Wuen Hon, John Adcock, John Goldsmith, Jingsong Liu and Joshua Goodman. Their work appears in journals such as IEEE Transactions on Speech and Audio Processing, SSW and 4th International Conference on Spoken Language Processing (ICSLP 1996).

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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