Research Team

Research Staff

Current Research Staff:

• Dr Stefano Bannò [Research Associate] ALTA Institute funded
• Dr Kate Knill [Principal Research Associate] ALTA Institute funded
• Dr Erfan Loweimi [Research Associate] MVSE funded
• Dr Simon McKnight [Research Associate] ALTA Institute funded
• Dr Mengjie Qian [Research Associate] MVSE funded

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]

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]

Undergraduate/MPhil Students

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

Reading Club

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