1 citations · 1 across the 21 of their papers we have counts for
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Adaptive Fisher-Whitened Cross-Covariance for Low-Resource Speech Recognition
Asmee Mishra, Mengjie Qian, Brechtje Post +1
Adapting multilingual speech foundation models to low-resource languages remains difficult, especially for languages that are poorly represented during pre-training. While paramete…
Sequential Adapter Stacking for Cross-Lingual Low-Resource ASR
Thai Thi Thanh Thao Dang, Mengjie Qian, Kate Knill
Extending large-scale multilingual automatic speech recognition (ASR) models to low-resource languages remains challenging. Model performance is skewed toward high-resource languag…
Flexible and Interpretable Accent Distance Measurements
Charles McGhee, Mark J. F. Gales, Kate M. Knill
Determining the differences between two speakers' accents is a fundamental task in linguistics and speech technology research. The methodology used to measure these differences dep…
Bias Analysis of L2 Speaking Assessment Systems Using Concept Activation Vectors
Arya Labroo, Mengjie Qian, Kate Knill
Automatic speaking assessment systems are increasingly deployed in high-stakes settings to mark second language (L2) learners' speaking tests, making it critical to show that their…
Controlling Implicit Shortcut Reliance in L2 Spoken English Auto-markers
Shilin Gao, Mark J. F. Gales, Kate M. Knill
Increasingly, speech and language processing tasks take either audio or text directly rather than extracting features from these as the input to the classifier or regressor. Often…
Data Augmentation for L2 English Speaking Assessment using TTS
Stefano Bannò, Penny Karanasou, Mengjie Qian +2
Automated assessment of second language (L2) speaking proficiency requires substantial annotated speech data, which are scarce compared to written learner corpora. We investigate w…
To Be Multimodal or Not to Be: Query-Adaptive Audio-Visual Person Retrieval via Active Modality Detection
Erfan Loweimi, Mengjie Qian, Kate Knill +7
When retrieving a person from a video archive by voice and face, should the system be multimodal or not? In real-world broadcast archives, unlike curated benchmarks, a target may b…
Towards Self-Referential Analytic Assessment: A Profile-Based Approach to L2 Writing Evaluation with LLMs
Stefano Bannò, Kate Knill, Mark Gales
Automated essay scoring (AES) research often relies on rank-based correlation metrics to validate analytic assessment. However, such metrics obscure both intrinsic intercorrelation…
The Impact of Editorial Intervention on Detecting Native Language Traces
Ahmet Yavuz Uluslu, Mark Gales, Kate Knill +1
Native Language Identification (NLI) is the task of determining an author's native language (L1) from their non-native writing. With the advent of human-AI co-authorship, learner t…
Exploiting the English Grammar Profile for L2 grammatical analysis with LLMs
Stefano Bannò, Penny Karanasou, Kate Knill +1
Evaluating the grammatical competence of second language (L2) learners is essential both for providing targeted feedback and for assessing proficiency. To achieve this, we propose…
Dual-Space Knowledge Distillation with Key-Query Matching for Large Language Models with Vocabulary Mismatch
Stella Eva Tsiapali, Cong-Thanh Do, Kate Knill
Large language models (LLMs) achieve state-of-the-art (SOTA) performance across language tasks, but are costly to deploy due to their size and resource demands. Knowledge Distillat…
Who can we trust? LLM-as-a-jury for Comparative Assessment
Mengjie Qian, Guangzhi Sun, Mark J. F. Gales +1
Large language models (LLMs) are increasingly applied as automatic evaluators for natural language generation assessment often using pairwise comparative judgements. Existing appro…
Detect, Attend and Extract: Keyword Guided Target Speaker Extraction
Haoyu Li, Yu Xi, Yidi Jiang +5
Target speaker extraction (TSE) aims to extract the speech of a target speaker from mixtures containing multiple competing speakers. Conventional TSE systems predominantly rely on…