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Lasse Borgholt

3 accepted papers

2026

A TEXT-TO-TEXT ALIGNMENT ALGORITHM FOR BETTER EVALUATION OF MODERN SPEECH RECOGNITION SYSTEMS

ICASSP 2026poster

Modern neural networks have greatly improved performance across speech recognition benchmarks. However, gains are often driven by frequent words with limited semantic weight, which can obscure meaningful differences in word error rate, the primary evaluation metric. Errors in rare terms, named entit…

Cited by 0SourcePDFScholar
2024

An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records

EMNLP 2024main

Electronic healthcare records are vital for patient safety as they document conditions, plans, and procedures in both free text and medical codes. Language models have significantly enhanced the processing of such records, streamlining workflows and reducing manual data entry, thereby saving healthc…

2021

On Scaling Contrastive Representations for Low-Resource Speech Recognition

ICASSP 2021accepted

Recent advances in self-supervised learning through contrastive training have shown that it is possible to learn a competitive speech recognition system with as little as 10 minutes of labeled data. However, these systems are computationally expensive since they require pre-training followed by fine…

Cited by 0SourceScholar