G. Evermann

733 citations
17 papers · 562 · h-index 11

Impact in

    • Speech and Audio Processing
    • Music and Audio Processing
    • Speech Recognition and Synthesis
    • Natural Language Processing Techniques
    • Speech and dialogue systems
    • Topic Modeling

Papers in

G. Evermann

17 papers receiving 497 citations

Peers

G. Evermann
Comparison fields: 5 of 25
  • Signal Processing 346
  • Artificial Intelligence 546
  • Computer Vision and Pattern Recognition 57
  • Experimental and Cognitive Psychology 27
  • Software 3
Replace Frank Wessel with:
Frank Wessel Germany
Klaus Macherey Germany
V. Gupta Canada
M.A. Kohler United States
Terry Gleason United States
Ye-Yi Wang United States
Jacob Kahn Israel
Delphine Charlet France
Petr Fousek United States
Donglai Zhu Singapore
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Citations per field
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Citations per year

Countries citing papers authored by G. Evermann

Since Specialization
Citations

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

Fields of papers citing papers by G. Evermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside G. Evermann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with G. Evermann Line = papers co-authored together G. Evermann links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Posterior probability decoding, confidence estimation and system combination
2000183
2 2002107
3 200642
4 200438
5
THE CU-HTK MARCH 2000 HUB5E TRANSCRIPTION SYSTEM
200035
6 202028
7 200424
8 200420
9 200519
10
An investigation into the the interactions between speaker diarisation systems and automatic speech transcription
200315
11 200612
12 200210
13
Minimum Word Error Rate Decoding
199910
14
Development of the 2004 CU-HTK English CTS systems using more than two thousand hours of data
20047
15
CU-HTK April 2002 Switchboard System
20026
16
Automatic transcription of conversational telephone speech: development of the CU-HTK 2002 system
20035
17 19971

About G. Evermann

G. Evermann is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Philosophy and General Health Professions, having authored 17 papers that have together received 562 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (14 papers), Speech and Audio Processing (12 papers), Advanced Data Compression Techniques (7 papers), Music and Audio Processing (3 papers), Natural Language Processing Techniques (2 papers), Aging, Elder Care, and Social Issues (1 paper), Topic Modeling (1 paper) and Hermeneutics and Narrative Identity (1 paper). The work is most often cited by research in Signal Processing (346 citations), Artificial Intelligence (546 citations), Computer Vision and Pattern Recognition (57 citations), Experimental and Cognitive Psychology (27 citations) and Software (3 citations). G. Evermann has collaborated with scholars based in United Kingdom. Frequent co-authors include PC Woodland, Philip C. Woodland, Thomas Hain, Mark Gales, Daniel Povey, Ho Yin Chan, Lin Wang, Ossama Abdel‐Hamid, Rongqing Huang and S.E. Tranter. Their work appears in journals such as IEEE Transactions on Speech and Audio Processing and Cambridge University Engineering Department Publications Database.

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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