[Univ of Cambridge] [Dept of Engineering]

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]
  • 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):

  • Filip Cermak: Knowledge Representations
  • Chentianyi Yang: Automatic Assessment of Non-native Learners Spoken English
  • Zixin (Sharice) Liu: Confidence estimation for Seq2Seq model
  • Haifan Zhao: Interpretability and Bias for Spoken Language Assessment

Undergraduate Students (2021-22):

  • Bhanu Balusu: Message Realisation Feedback
  • Justine Hong: Disentangling Deep Speaker Representations
  • Puria Radmard: Deep Acquisition Functions for Active Learning

Undergraduate Students (2020-21):

  • Yassir Fathullah: Uncertainty and ensemble distillation for sequence data
  • Sanchit Gandhi: Interpretability for deep learning
  • Tianxiang Guo: Cross-language information retrieval
  • Shangyi Lim: Interpretability for deep learning
  • Matt Song: Speech chain models for low-resource speech processing
  • Guoxuan Xia: Ensemble distribution distillation

Undergraduate Students (2019-20) [Technical Advice, Sabbtical Leave]:

  • Adian Liusie: Spoken "Grammatical" Error Detaction and Correction
  • Vatsal Raina: Off-Topic Response Detection
  • Vyas Raina: Neural Assessment and Adversarial Attacks
  • Ollie Rose: Uncertainty in Speech and Language Processing

MPhil Students (2018-19):

  • Aleco Kastanos: Confidence Scores for ASR

Undergraduate Students (2018-19):

  • Raf Schmetterling: Efficient Waveform Level Synthesis
  • Josh Efiong: Integrated Synthesis Context Generation
  • Xanda Bailey: Distant Speech Recognition
  • John Hughes: Automatic Lecture Captioning
  • Ben Merrett: Uncertainty for Structured Data
  • Potsawee Manakul: Spoken Language Error Detection

MPhil Students (2017-18):

  • Marco del Vecchio: Uncertainty for Deep Learning

Undergraduate Students (2017-18):

  • Jacques Elliott: Distant Speech Recognition
  • Eric Li: Confidence Scores for Speech Processing
  • Edie Lu: Latent Variable Model for Speech Synthesis
  • Zoe Ma: Waveform Level Speech Synthesis
  • 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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