Mark Gales

15.2k total citations · 2 hit papers
399 papers, 9.6k citations indexed

About

Mark Gales is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mark Gales has authored 399 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 353 papers in Artificial Intelligence, 227 papers in Signal Processing and 35 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mark Gales's work include Speech Recognition and Synthesis (304 papers), Speech and Audio Processing (200 papers) and Music and Audio Processing (159 papers). Mark Gales is often cited by papers focused on Speech Recognition and Synthesis (304 papers), Speech and Audio Processing (200 papers) and Music and Audio Processing (159 papers). Mark Gales collaborates with scholars based in United Kingdom, South Sudan and United States. Mark Gales's co-authors include Philip C. Woodland, Steve Young, S.J. Young, Anton Ragni, Kate Knill, Xiaobing Liu, Khe Chai Sim, K.M. Knill, Kai Yu and Nathan D. Smith and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and IEEE Signal Processing Magazine.

In The Last Decade

Mark Gales

376 papers receiving 8.3k citations

Hit Papers

Maximum likelihood linear transformations for HMM-based s... 1998 2026 2007 2016 1998 2023 250 500 750 1000

Peers

Mark Gales
Comparison fields: 5 of 138
  • Artificial Intelligence 8.6k
  • Signal Processing 6.5k
  • Computer Vision and Pattern Recognition 1.0k
  • Experimental and Cognitive Psychology 450
  • Computational Mechanics 218
Replace Jinyu Li with:
Jinyu Li United States
Philip C. Woodland United Kingdom
Frank K. Soong China
Sadaoki Furui Japan
Douglas A. Reynolds United States
Steve Renals United Kingdom
James Glass United States
Hervé Bourlard Switzerland
Daniel Povey United States
Junichi Yamagishi Japan
Jinyu Li United States View profile →
Citations per field, relative to Mark Gales
Mark Gales · 1×
Citations per year, relative to Mark Gales
Mark Gales · 1×

Countries citing papers authored by Mark Gales

Since Specialization
Citations

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

Fields of papers citing papers by Mark Gales

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Gales

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Gales. A scholar is included among the top collaborators of Mark Gales 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 Mark Gales. Mark Gales 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
# Work Indexed citations
1 0
2 9
3 2
4 3
5 2
6 0
7 0
8 1
9 0
10 4
11 28
12
Improving Lightly Supervised Training for Broadcast Transcriptions
3
13
Photo-realistic expressive text to talking head synthesis
10
14
Parametric and derivative kernels for speaker verification
1
15
The HTK book version 3.4
430
16
Augmented statistical models: Exploiting generative models in discriminative classifiers
2
17
Maximum margin training of generative kernels
6
18
Development of the 2004 CU-HTK English CTS systems using more than two thousand hours of data
7
19
IBM's LVCSR system for transcription of broadcast news used in the 1997 hub4 english evaluation
9
20
Robust speech recognition in noise --- performance of the IBM continuous speech recogniser on the ARPA noise spoke task
28

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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