2026 Philip C. Woodland: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	70	1836	1777	104	103	304	26833

Philip C. Woodland publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Philip C. Woodland sits on this spectrum.

32 publications 991+

This scientist: 304 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Philip C. Woodland D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Philip C. Woodland sits on this spectrum.

30 D-Index 131+

This scientist: 70 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

2025 - Research.com Computer Science in United Kingdom Leader Award
2023 - Research.com Computer Science in United Kingdom Leader Award
2022 - Research.com Computer Science in United Kingdom Leader Award
2013 - IEEE Fellow For contributions to large vocabulary speech recognition

Overview

Philip C. Woodland is a researcher affiliated with the University of Cambridge in the United Kingdom. Their work primarily centers around computer science, with a strong focus on artificial intelligence and signal processing. Other subfields include computer vision and pattern recognition, experimental and cognitive psychology, and cognitive neuroscience.

Their research covers several topics related to speech and audio technologies, natural language processing, and dialogue systems. Key areas of work include:

Speech Recognition and Synthesis
Music and Audio Processing
Natural Language Processing Techniques
Speech and Audio Processing
Topic Modeling
Speech and Dialogue Systems
Sentiment Analysis and Opinion Mining

Philip C. Woodland has contributed significantly to scientific literature with numerous publications. Selected recent papers include:

"Adapting GPT, GPT-2 and BERT Language Models for Speech Recognition" (2021), published at the 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
"Tree-Constrained Pointer Generator for End-to-End Contextual Speech Recognition" (2021), presented at the 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
"Combination of deep speaker embeddings for diarisation" (2021), published in Neural Networks
"Knowledge Distillation for Neural Transducers from Large Self-Supervised Pre-Trained Models" (2022), presented at ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
"Tandem Multitask Training of Speaker Diarisation and Speech Recognition for Meeting Transcription" (2022), presented at Interspeech 2022

The most frequent co-authors in Woodland's body of work include:

Chao Zhang
Guangzhi Sun
Qiujia Li
Keqi Deng

The researcher has published often in venues such as arXiv (Cornell University), IEEE/ACM Transactions on Audio Speech and Language Processing, the ASRU workshop, ICASSP, and Interspeech conferences.

In 2013, Philip C. Woodland was named an IEEE Fellow for contributions to large vocabulary speech recognition.

Best Publications

The HTK book

SJ Young;J Jansen;JJ Odell;DG Ollason

6811
Citations
Maximum likelihood linear regression for speaker adaptation of continuous density hidden Markov models

C. J. Leggetter;Philip C. Woodland

3400
Citations
Tree-Based State Tying for High Accuracy Modelling

Steve J. Young;J. J. Odell;Philip C. Woodland

1093
Citations
Tree-based state tying for high accuracy acoustic modelling

S. J. Young;J. J. Odell;P. C. Woodland

1030
Citations
The HTK book version 3.4

SJ Young;G Evermann;Mjf Gales;D Kershaw

989
Citations
Minimum Phone Error and I-smoothing for improved discriminative training

D. Povey;P.C. Woodland

918
Citations
Mean and variance adaptation within the MLLR framework

Mark J. F. Gales;Philip C. Woodland

626
Citations
Large scale discriminative training of hidden Markov models for speech recognition

P.C. Woodland;D. Povey

564
Citations
Large vocabulary continuous speech recognition using HTK

P.C. Woodland;J.J. Odell;V. Valtchev;S.J. Young

395
Citations
MMIE training of large vocabulary recognition systems

V. Valtchev;J. J. Odell;P. C. Woodland;S. J. Young

274
Citations
A variable-length category-based n-gram language model

T.R. Niesler;P.C. Woodland

262
Citations
The 1994 HTK large vocabulary speech recognition system

P.C. Woodland;C.J. Leggetter;J.J. Odell;V. Valtchev

223
Citations
A one pass decoder design for large vocabulary recognition

J. J. Odell;V. Valtchev;P. C. Woodland;S. J. Young

212
Citations
A computational model of the auditory periphery for speech and hearing research. I. Ascending path

Christian Giguère;Philip C. Woodland

208
Citations
State clustering in hidden Markov model-based continuous speech recognition

Steve J. Young;Philip C. Woodland

198
Citations
Speaker adaptation of continuous density HMMs using multivariate linear regression

C. J. Leggetter;Philip C. Woodland

187
Citations
The use of state tying in continuous speech recognition.

Steve J. Young;Philip C. Woodland

184
Citations
Large vocabulary decoding and confidence estimation using word posterior probabilities

G. Evermann;P.C. Woodland

179
Citations
Speaker adaptation of HMMs using linear regression

CJ Leggetter;PC Woodland

178
Citations
The MGB challenge: Evaluating multi-genre broadcast media recognition

P Bell;M J F Gales;T Hain;J Kilgour

171
Citations

Frequent Co-Authors

Mark J. F. Gales University of Cambridge

Steve Young University of Cambridge

Thomas Hain University of Sheffield

Yanmin Qian Shanghai Jiao Tong University

Daniel Povey Xiaomi (China)

Kai Yu Shanghai Jiao Tong University

Karen Sparck Jones University of Cambridge

William Byrne University of Cambridge

Steve Renals University of Edinburgh

William D. Marslen-Wilson University of Cambridge

External Links

Personal website of Philip C. Woodland Google Scholar page

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