G. Evermann
Impact in
- Signal Processing top 2%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 2%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Speech and dialogue systems
- Topic Modeling
Papers in
-
- Speech Recognition and Synthesis 14
- Natural Language Processing Techniques 2
- Algorithms and Data Compression 1
- Speech and dialogue systems 1
-
- Speech and Audio Processing 12
- Music and Audio Processing 3
- Co-authors
- PC Woodland (4 shared papers)Philip C. Woodland (10 shared papers)Thomas Hain (7 shared papers)Mark Gales (7 shared papers)Daniel Povey (4 shared papers)Ho Yin Chan (3 shared papers)L. Wang (2 shared papers)Ossama Abdel‐Hamid (1 shared paper)
- Journals
- IEEE Transactions on Speech and Audio Processing (1 paper)Cambridge University Engineering Department Publications Database (10 papers)
- Partner nations
- United Kingdom
In The Last Decade
G. Evermann
16 papers receiving 457 citations
Peers
Comparison fields: 5 of 26
- Signal Processing 318
- Artificial Intelligence 506
- Computer Vision and Pattern Recognition 60
- Experimental and Cognitive Psychology 26
- Human-Computer Interaction 3
Countries citing papers authored by G. Evermann
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Posterior probability decoding, confidence estimation and system combination | 2000 | 175 |
| 2 | 2002 | 97 | |
| 3 | 2006 | 37 | |
| 4 | 2004 | 35 | |
| 5 | THE CU-HTK MARCH 2000 HUB5E TRANSCRIPTION SYSTEM | 2000 | 32 |
| 6 | 2020 | 26 | |
| 7 | 2004 | 24 | |
| 8 | 2004 | 20 | |
| 9 | 2005 | 15 | |
| 10 | An investigation into the the interactions between speaker diarisation systems and automatic speech transcription | 2003 | 15 |
| 11 | 2006 | 12 | |
| 12 | 2002 | 10 | |
| 13 | Minimum Word Error Rate Decoding | 1999 | 8 |
| 14 | Development of the 2004 CU-HTK English CTS systems using more than two thousand hours of data | 2004 | 7 |
| 15 | CU-HTK April 2002 Switchboard System | 2002 | 5 |
| 16 | Automatic transcription of conversational telephone speech: development of the CU-HTK 2002 system | 2003 | 4 |
| 17 | 1997 | 0 |
About G. Evermann
G. Evermann is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, General Health Professions and Philosophy, having authored 17 papers that have together received 522 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), Hermeneutics and Narrative Identity (1 paper), Algorithms and Data Compression (1 paper) and Speech and dialogue systems (1 paper). The work is most often cited by research in Signal Processing (318 citations), Artificial Intelligence (506 citations), Computer Vision and Pattern Recognition (60 citations), Experimental and Cognitive Psychology (26 citations) and Human-Computer Interaction (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, L. 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.