Philip Woodland

Philip Woodland

University of Cambridge

H-index: 74

Europe-United Kingdom

About Philip Woodland

Philip Woodland, With an exceptional h-index of 74 and a recent h-index of 29 (since 2020), a distinguished researcher at University of Cambridge, specializes in the field of Speech Recognition, Speech and Language Technology, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Graph neural networks for contextual ASR with the tree-constrained pointer generator

FastInject: Injecting Unpaired Text Data into CTC-Based ASR Training

Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation

Parameter Efficient Finetuning for Speech Emotion Recognition and Domain Adaptation

Self-Supervised Learning-Based Source Separation for Meeting Data

Integrating Emotion Recognition with Speech Recognition and Speaker Diarisation for Conversations

Label-Synchronous Neural Transducer for Adaptable Online E2E Speech Recognition

Combining hybrid DNN-HMM ASR systems with attention-based models using lattice rescoring

Philip Woodland Information

University

Position

Professor of Information Engineering Engineering Department

Citations(all)

28126

Citations(since 2020)

3553

Cited By

25201

hIndex(all)

74

hIndex(since 2020)

29

i10Index(all)

223

i10Index(since 2020)

73

Email

University Profile Page

University of Cambridge

Google Scholar

View Google Scholar Profile

Philip Woodland Skills & Research Interests

Speech Recognition

Speech and Language Technology

Machine Learning

Top articles of Philip Woodland

Title

Journal

Author(s)

Publication Date

Graph neural networks for contextual ASR with the tree-constrained pointer generator

IEEE/ACM Transactions on Audio, Speech, and Language Processing

Guangzhi Sun

Chao Zhang

Philip C Woodland

2024/4/16

FastInject: Injecting Unpaired Text Data into CTC-Based ASR Training

Keqi Deng

Philip C Woodland

2024/4/14

Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation

arXiv preprint arXiv:2402.12862

Wen Wu

Bo Li

Chao Zhang

Chung-Cheng Chiu

Qiujia Li

...

2024/2/20

Parameter Efficient Finetuning for Speech Emotion Recognition and Domain Adaptation

arXiv preprint arXiv:2402.11747

Nineli Lashkarashvili

Wen Wu

Guangzhi Sun

Philip C Woodland

2024/2/19

Self-Supervised Learning-Based Source Separation for Meeting Data

Yuang Li

Xianrui Zheng

Philip C Woodland

2023/6/4

Integrating Emotion Recognition with Speech Recognition and Speaker Diarisation for Conversations

arXiv preprint arXiv:2308.07145

Wen Wu

Chao Zhang

Philip C Woodland

2023/8/14

Label-Synchronous Neural Transducer for Adaptable Online E2E Speech Recognition

arXiv preprint arXiv:2311.11353

Keqi Deng

Philip C Woodland

2023/11/19

Combining hybrid DNN-HMM ASR systems with attention-based models using lattice rescoring

Speech Communication

Qiujia Li

Chao Zhang

Philip C Woodland

2023/2/1

Adaptable end-to-end ASR models using replaceable internal LMs and residual softmax

Keqi Deng

Philip C Woodland

2023/6/4

Label-synchronous neural transducer for end-to-end ASR

arXiv preprint arXiv:2307.03088

Keqi Deng

Philip C Woodland

2023/7/6

Speech-based Slot Filling using Large Language Models

arXiv preprint arXiv:2311.07418

Guangzhi Sun

Shutong Feng

Dongcheng Jiang

Chao Zhang

Milica Gašić

...

2023/11/13

Distribution-Based Emotion Recognition in Conversation

Wen Wu

Chao Zhang

Philip C Woodland

2023/1/9

End-to-end spoken language understanding with tree-constrained pointer generator

Guangzhi Sun

Chao Zhang

Philip C Woodland

2023/6/4

Knowledge-Aware Audio-Grounded Generative Slot Filling for Limited Annotated Data

arXiv preprint arXiv:2307.01764

Guangzhi Sun

Chao Zhang

Ivan Vulić

Paweł Budzianowski

Philip C Woodland

2023/7/4

Conditional Diffusion Model for Target Speaker Extraction

arXiv preprint arXiv:2310.04791

Theodor Nguyen

Guangzhi Sun

Xianrui Zheng

Chao Zhang

Philip C Woodland

2023/10/7

Spectral Clustering-Aware Learning of Embeddings for Speaker Diarisation

Evonne PC Lee

Guangzhi Sun

Chao Zhang

Philip C Woodland

2023/6/4

System and method using parameterized speech synthesis to train acoustic models

2023/1/3

Estimating the uncertainty in emotion attributes using deep evidential regression

arXiv preprint arXiv:2306.06760

Wen Wu

Chao Zhang

Philip C Woodland

2023/6/11

It HAS to be Subjective: Human Annotator Simulation via Zero-shot Density Estimation

arXiv preprint arXiv:2310.00486

Wen Wu

Wenlin Chen

Chao Zhang

Philip C Woodland

2023/9/30

Can contextual biasing remain effective with Whisper and GPT-2?

arXiv preprint arXiv:2306.01942

Guangzhi Sun

Xianrui Zheng

Chao Zhang

Philip C Woodland

2023/6/2

See List of Professors in Philip Woodland University(University of Cambridge)