8 citations · 8 across the 5 of their papers we have counts for
5 papers
Improving Speech Recognition Error Prediction for Modern and Off-the-shelf Speech Recognizers
Prashant Serai, Peidong Wang, Eric Fosler-Lussier
Modeling the errors of a speech recognizer can help simulate errorful recognized speech data from plain text, which has proven useful for tasks like discriminative language modelin…
A Multi-Aspect Framework for Counter Narrative Evaluation using Large Language Models
Jaylen Jones, Lingbo Mo, Eric Fosler-Lussier +1
Counter narratives - informed responses to hate speech contexts designed to refute hateful claims and de-escalate encounters - have emerged as an effective hate speech intervention…
End-to-End real time tracking of children's reading with pointer network
Vishal Sunder, Beulah Karrolla, Eric Fosler-Lussier
In this work, we explore how a real time reading tracker can be built efficiently for children's voices. While previously proposed reading trackers focused on ASR-based cascaded ap…
Selective Demonstrations for Cross-domain Text-to-SQL
Shuaichen Chang, Eric Fosler-Lussier
Large language models (LLMs) with in-context learning have demonstrated impressive generalization capabilities in the cross-domain text-to-SQL task, without the use of in-domain an…
Perceptual Loss with Recognition Model for Single-Channel Enhancement and Robust ASR
Peter Plantinga, Deblin Bagchi, Eric Fosler-Lussier
Single-channel speech enhancement approaches do not always improve automatic recognition rates in the presence of noise, because they can introduce distortions unhelpful for recogn…