G. Evermann

731 total citations
17 papers, 521 citations indexed

About

G. Evermann is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, G. Evermann has authored 17 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 12 papers in Signal Processing and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in G. Evermann's work include Speech Recognition and Synthesis (14 papers), Speech and Audio Processing (12 papers) and Advanced Data Compression Techniques (7 papers). G. Evermann is often cited by papers focused on Speech Recognition and Synthesis (14 papers), Speech and Audio Processing (12 papers) and Advanced Data Compression Techniques (7 papers). G. Evermann collaborates with scholars based in United Kingdom. G. Evermann's 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 and has published in prestigious journals such as IEEE Transactions on Speech and Audio Processing and Cambridge University Engineering Department Publications Database.

In The Last Decade

G. Evermann

16 papers receiving 453 citations

Peers

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-authorship network of co-authors of G. Evermann

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

All Works

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17 of 17 papers shown

#	Work	Indexed citations
1	Class LM and Word Mapping for Contextual Biasing in End-to-End ASR 2020 ·Rongqing Huang, Ossama Abdel‐Hamid, (unknown), G. Evermann	26
2	Development of the CU-HTK 2004 Broadcast News Transcription Systems 2006 ·(unknown), Ho Yin Chan, G. Evermann, Mark Gales, (unknown), Khe Chai Sim, Philip C. Woodland	12
3	Training LVCSR Systems on Thousands of Hours of Data 2006 ·G. Evermann, Ho Yin Chan, Mark Gales, Bill Jia, (unknown), Philip C. Woodland, Kai Yu	37
4	Automatic transcription of conversational telephone speech 2005 ·IEEE Transactions on Speech and Audio Processing ·Thomas Hain, Philip C. Woodland, G. Evermann, Mark Gales, Xunying Liu, (unknown), Daniel Povey, Lan Wang	15
5	Development of the 2004 CU-HTK English CTS systems using more than two thousand hours of data 2004 ·Cambridge University Engineering Department Publications Database ·G. Evermann, (unknown), Mark Gales, (unknown), (unknown), (unknown), (unknown), (unknown), PC Woodland	7
6	Development of the 2003 CU-HTK conversational telephone speech transcription system 2004 ·G. Evermann, Ho Yin Chan, Mark Gales, Thomas Hain, Xiaobing Liu, (unknown), L. Wang, Philip C. Woodland	35
7	Design of fast LVCSR systems 2004 ·G. Evermann, Philip C. Woodland	20
8	Recent advances in broadcast news transcription 2004 ·(unknown), G. Evermann, Thomas Hain, (unknown), S.E. Tranter, L. Wang, Philip C. Woodland	24
9	An investigation into the the interactions between speaker diarisation systems and automatic speech transcription 2003 ·S.E. Tranter, (unknown), (unknown), G. Evermann, (unknown), PC Woodland	14
10	Automatic transcription of conversational telephone speech: development of the CU-HTK 2002 system 2003 ·Cambridge University Engineering Department Publications Database ·Thomas Hain, PC Woodland, G. Evermann, Mark Gales, (unknown), (unknown), Daniel Povey, (unknown)	4
11	Large vocabulary decoding and confidence estimation using word posterior probabilities 2002 ·G. Evermann, Philip C. Woodland	97
12	New features in the CU-HTK system for transcription of conversational telephone speech 2002 ·Thomas Hain, Philip C. Woodland, G. Evermann, Daniel Povey	10
13	CU-HTK April 2002 Switchboard System 2002 ·Philip C. Woodland, G. Evermann, Mark Gales, Thomas Hain, (unknown), (unknown), (unknown), Lan Wang, 。 Che	5
14	THE CU-HTK MARCH 2000 HUB5E TRANSCRIPTION SYSTEM 2000 ·Cambridge University Engineering Department Publications Database ·Thomas Hain, Philip C. Woodland, G. Evermann, Daniel Povey	32
15	Posterior probability decoding, confidence estimation and system combination 2000 ·Cambridge University Engineering Department Publications Database ·G. Evermann, PC Woodland	175
16	Minimum Word Error Rate Decoding 1999 ·G. Evermann	8
17	What is wrong with the lexicon - an attempt to model pronunciations probabilistically 1997 ·U. Jost, (unknown), G. Evermann	0

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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