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Found 7 papers, 0 papers with code
Can Generative Large Language Models Perform ASR Error Correction?
In this paper we investigate using ChatGPT, a generative LLM, for ASR error correction.
Analysis of the Cambridge Multiple-Choice Questions Reading Dataset with a Focus on Candidate Response Distribution
Multiple choice exams are widely used to assess candidates across a diverse range of domains and tasks.
Grammatical error detection in transcriptions of spoken English
We describe the collection of transcription corrections and grammatical error annotations for the CrowdED Corpus of spoken English monologues on business topics.
Complementary Systems for Off-Topic Spoken Response Detection
This paper examines one form of spoken language assessment; whether the response from the candidate is relevant to the prompt provided.
Incorporating Uncertainty into Deep Learning for Spoken Language Assessment
On experiments conducted on data from the Business Language Testing Service (BULATS), the proposed approach is found to outperform GPs and DNNs with MCD in uncertainty-based rejection whilst achieving comparable grading performance.
