9 citations · 14 across the 5 of their papers we have counts for
3 papers · 1 filter
A Text-To-Text Alignment Algorithm for Better Evaluation of Modern Speech Recognition Systems
Lasse Borgholt, Jakob Havtorn, Christian Igel +2
Modern neural networks have greatly improved performance across speech recognition benchmarks. However, gains are often driven by frequent words with limited semantic weight, which…
MultiQT: Multimodal Learning for Real-Time Question Tracking in Speech
Jakob D. Havtorn, Jan Latko, Joakim Edin +6
We address a challenging and practical task of labeling questions in speech in real time during telephone calls to emergency medical services in English, which embeds within a broa…
On the Inductive Bias of Word-Character-Level Multi-Task Learning for Speech Recognition
Jan Kremer, Lasse Borgholt, Lars Maaløe
End-to-end automatic speech recognition (ASR) commonly transcribes audio signals into sequences of characters while its performance is evaluated by measuring the word-error rate (W…