Mark Gales
Professor of Information Engineering
Works on automatic speech recognition and speech synthesis, including low-resource speech processing and spoken language learning and assessment.
Mark Gales's lab at Cambridge works on speech recognition & spoken language, speech synthesis & voice and recognition, detection & segmentation. 55 papers since 2023, 26 at top venues, mostly Interspeech and EMNLP. Applications close .
At a glance
- papers, 2023–2026
- 14/ year
- at T1 venues
- 47%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 2 papers2026 · T1 0 · collecting
- 11 papers2025 · T1 8
- 21 papers2024 · T1 11
- 21 papers2023 · T1 7
T1 venuesOtherVenues: Interspeech, EMNLP, NAACL, ACL, EACL
Research focuspaper titles that use each topic's words
- Speech recognition & spoken language23 papers
- Speech synthesis & voice10 papers
- speech9 papers
- Recognition, detection & segmentation6 papers
- automatic speech1 paper
Paper list
From DBLP.
20262 papers
202511 papers
- Interspeech (T1)Assessment of L2 Oral Proficiency using Speech Large Language Models (opens in a new tab)
- NAACL (T1)Cross-Lingual Transfer Learning for Speech Translation (opens in a new tab)
- BEAExploiting the English Vocabulary Profile for L2 word-level vocabulary assessment with LLMs (opens in a new tab)
- COLING (T1)Finetuning LLMs for Comparative Assessment Tasks (opens in a new tab)
- UAI (T1)Generalised Probabilistic Modelling and Improved Uncertainty Estimation in Comparative LLM-as-a-judge (opens in a new tab)
- Interspeech (T1)Scaling and Prompting for Improved End-to-End Spoken Grammatical Error Correction (opens in a new tab)
- ACL (T1)SkillAggregation: Reference-free LLM-Dependent Aggregation (opens in a new tab)
- Comput. Biol. MedicineStructural-based uncertainty in deep learning across anatomical scales: Analysis in white matter lesion segmentation (opens in a new tab)
- Interspeech (T1)Training Articulatory Inversion Models for Interspeaker Consistency (opens in a new tab)
- Findings of EMNLPUniversal Acoustic Adversarial Attacks for Flexible Control of Speech-LLMs (opens in a new tab)
- EMNLP (T1)Unlearning vs. Obfuscation: Are We Truly Removing Knowledge? (opens in a new tab)
202421 papers
- ACL (T1)An Information-Theoretic Approach to Analyze NLP Classification Tasks (opens in a new tab)
- BEACan GPT-4 do L2 analytic assessment? (opens in a new tab)
- SLTControlling Whisper: Universal Acoustic Adversarial Attacks to Control Multi-Task Automatic Speech Recognition Models (opens in a new tab)
- EMNLP (T1)Efficient LLM Comparative Assessment: A Product of Experts Framework for Pairwise Comparisons (opens in a new tab)
- NAACL (T1)Efficient Sample-Specific Encoder Perturbations (opens in a new tab)
- Interspeech (T1)Highly Intelligible Speaker-Independent Articulatory Synthesis (opens in a new tab)
- NAACL (T1)Investigating the Emergent Audio Classification Ability of ASR Foundation Models (opens in a new tab)
- LREC/COLINGIs It Possible to Modify Text to a Target Readability Level? An Initial Investigation Using Zero-Shot Large Language Models (opens in a new tab)
- EMNLP (T1)Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment (opens in a new tab)
- Interspeech (T1)Learn and Don't Forget: Adding a New Language to ASR Foundation Models (opens in a new tab)
- EACLLLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language Models (opens in a new tab)
- EMNLP (T1)LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History (opens in a new tab)
202321 papers
- SLaTEAdapting an ASR Foundation Model for Spoken Language Assessment (opens in a new tab)
- Interspeech (T1)Adapting an Unadaptable ASR System (opens in a new tab)
- SLaTEAnalyzing Multiple-Choice Reading and Listening Comprehension Tests (opens in a new tab)
- SLaTEAnnotation of L2 English Speech for Developing and Evaluating End-to-End Spoken Grammatical Error Correction (opens in a new tab)
- Eval4NLPAssessing Distractors in Multiple-Choice Tests (opens in a new tab)
- SLaTEAssessment of L2 Oral Proficiency Using Self-Supervised Speech Representation Learning (opens in a new tab)
- SLaTEAutomatic Assessment of Conversational Speaking Tests (opens in a new tab)
- BioNLP@ACLCUED at ProbSum 2023: Hierarchical Ensemble of Summarization Models (opens in a new tab)
- ICASSP (T1)Ensemble Prosody Prediction For Expressive Speech Synthesis (opens in a new tab)
- UAI (T1)Logit-based ensemble distribution distillation for robust autoregressive sequence uncertainties (opens in a new tab)
- IJCNLPMinimum Bayes' Risk Decoding for System Combination of Grammatical Error Correction Systems (opens in a new tab)
- Findings of IJCNLPMitigating Word Bias in Zero-shot Prompt-based Classifiers (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to CambridgeMichaelmas 2027
PhD in Computer Science
- Round
- Funding round (8 Dec 2026)
- Opens
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Confirmed on the program page.
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