Research Team
[
Research Staff |
Research Students |
Undergrad/MPhil ]
[
Reading Club
]
Research Staff
Current Research Staff:
Collaborators:
-
Dr Andrey Malinin, Shifts Challenge [ex Research Associate]
-
Dr Anton Ragni, University of Sheffield [ex Senior Research Associate]
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Dr Yu Wang, Shanghai Jiao Tong University (SJTU) [ex Senior Research Associate]
-
Dr Xixin Wu CUHK [ex Research Associate]
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PhD Research Students
Current Research Students:
- Yassir Fathullah: Uncertainty Estaimtion in NLP (Gates funded)
(ALTA Institute collaboration)
-
Adian Liusie: Automatic Spoken Conversation Assessment
(ALTA Institute funded)
- Vatsal Raina: Question Generation/Answering/Assessment (DTP funded)
(ALTA Institute collaboration)
- Vyas Raina: Adversarial Attacks in NLP
(ALTA Institute funded)
Former Research Students:
- Catherine Breslin :
Complementary System Generation and Combination
[pdf]
- Jeff Chen: Recurrent Neural Network Language Models
[pdf]
-
Qingyun Dou: Improving Attention-based Sequence-to-sequence Models [pdf]
- Kostas Kyriakopoulos: Spoken Language Assessment and Learning
[pdf]
- Martin Layton :
Kernel Methods for Classifying Variable Length Data
[pdf]
- Hank Liao :
Uncertainty Decoding for Noise Robust Speech Recognition [pdf]
- Andrew Liu :
Discriminative Complexity Control and Linear
Projections for LVCSR
[pdf]
- Chris Longworth :
Speaker Verification and Identification using Kernel Methods
[pdf]
- Yiting (Edie) Lu: Spoken Gammatical Error Correction [
pdf]
- Andrey Malinin Uncertainty Estimation in Deep Learning [pdf]
- Potsawee Manakul: Improving Abstractive Summarization and Information Consistency Assessment [pdf]
- Anton Ragni :
Discriminative models for Speech Recognition
[pdf]
- CK Raut :
Discriminative Adaptive Training and Bayesian Inference for ASR
[pdf]
- Antti-Veikko Rosti :
Linear Gaussian models for speech recognition
[pdf]
- Rogier van Dalen :
Noise Robust Speech Recognition [pdf]
- Khe Chai Sim :
Structured Precision Matrix Modelling for Speech Recognition
[pdf]
- Nathan Smith :
Using augmented statistical models and score spaces for classification
[pdf]
- Mathew Stuttle
: Formant-like features for speech recognition
[pdf]
- Eric Wang :
Model-Based Approaches to Robust Speech Recognition
[pdf]
- Jeremy Wong:
Ensemble generation and compression for speech recognition
[pdf]
- Chunyang Wu: Structured Deep Neural Networks for Speech Recognition [pdf]
- Kai Yu :
Adaptive Training for LVCSR
[pdf]
- Justin Yang: Non-Parametric models for speech recognition
[pdf]
- Austin Zhang :
Structured Discriminative Models for Speech Recognition
[pdf]
If you are
interested in studying for a PhD in Spoken Language Processing contact Mark Gales.
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Undergraduate/MPhil Students
Local Web-Pages [
MPhil |
UGrad ]
MPhil Students (2022-23):
-
Tony Wu: Distilling and Forgetting in Large Pre-Trained Models
Undergraduate Students (2022-23):
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Filip Cermak: Knowledge Representations
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Chentianyi Yang: Automatic Assessment of Non-native Learners Spoken English
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Zixin (Sharice) Liu: Confidence estimation for Seq2Seq model
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Haifan Zhao: Interpretability and Bias for Spoken Language Assessment
Undergraduate Students (2021-22):
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Bhanu Balusu: Message Realisation Feedback
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Justine Hong: Disentangling Deep Speaker Representations
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Puria Radmard: Deep Acquisition Functions for Active Learning
Undergraduate Students (2020-21):
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Yassir Fathullah: Uncertainty and ensemble distillation for sequence data
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Sanchit Gandhi: Interpretability for deep learning
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Tianxiang Guo: Cross-language information retrieval
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Shangyi Lim: Interpretability for deep learning
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Matt Song: Speech chain models for low-resource speech processing
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Guoxuan Xia: Ensemble distribution distillation
Undergraduate Students (2019-20) [Technical Advice, Sabbtical Leave]:
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Adian Liusie: Spoken "Grammatical" Error Detaction and Correction
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Vatsal Raina: Off-Topic Response Detection
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Vyas Raina: Neural Assessment and Adversarial Attacks
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Ollie Rose: Uncertainty in Speech and Language Processing
MPhil Students (2018-19):
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Aleco Kastanos: Confidence Scores for ASR
Undergraduate Students (2018-19):
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Raf Schmetterling: Efficient Waveform Level Synthesis
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Josh Efiong: Integrated Synthesis Context Generation
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Xanda Bailey: Distant Speech Recognition
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John Hughes: Automatic Lecture Captioning
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Ben Merrett: Uncertainty for Structured Data
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Potsawee Manakul: Spoken Language Error Detection
MPhil Students (2017-18):
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Marco del Vecchio: Uncertainty for Deep Learning
Undergraduate Students (2017-18):
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Jacques Elliott: Distant Speech Recognition
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Eric Li: Confidence Scores for Speech Processing
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Edie Lu: Latent Variable Model for Speech Synthesis
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Zoe Ma: Waveform Level Speech Synthesis
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Yichen Yang: Deep Learning For Language Modelling
MPhil Students (2016-17):
-
Oscar Chen: "Memory Networks" for Language Modelling
-
Qingyun Dou: Waveform Level Synthesis
-
Mara Graziani: Improved Interpretability and Generalisation for Deep Learning
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Reading Club
Local Web-Pages [
Info ]
Contact Information
Mark Gales |
|
Baker Building, Room 305 |
|
Engineering Department |
Email mjfg@eng.cam.ac.uk |
Trumpington Street, Cambridge |
Tel: +44 1223 332733 |
CB2 1PZ, UK |
Fax: +44 1223 332662 |
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