Importance sampling of delta-AUC: A basis for active learning for improved keyword search. - Kerri Barnes; Matthew Snover; Man-Hung Siu; Herbert Gish (ICASSP, 2016)

Improved Data Selection for Domain Adaptation in ASR. - Shannon Wotherspoon; William Hartmann; Matthew Snover; Owen Kimball (ICASSP, 2021)

Using heterogeneity in semi-supervised transcription hypotheses to improve code-switched speech recognition. - Andrew Slottje; Shannon Wotherspoon; William Hartmann; Matthew Snover; Owen Kimball (CoRR, 2021)

Overcoming Domain Mismatch in Low Resource Sequence-to-Sequence ASR Models using Hybrid Generated Pseudotranscripts. - Chak-Fai Li; Francis Keith; William Hartmann; Matthew Snover; Owen Kimball (CoRR, 2021)

Combining Unsupervised and Text Augmented Semi-Supervised Learning For Low Resourced Autoregressive Speech Recognition. - Chak-Fai Li; Francis Keith; William Hartmann; Matthew Snover (ICASSP, 2022)

Training Autoregressive Speech Recognition Models with Limited in-domain Supervision. - Chak-Fai Li; Francis Keith; William Hartmann; Matthew Snover (CoRR, 2022)

Advancing Speech Translation: A Corpus of Mandarin-English Conversational Telephone Speech. - Shannon Wotherspoon; William Hartmann; Matthew Snover (CoRR, 2024)

TOGGL: Transcribing Overlapping Speech with Staggered Labeling. - Chak-Fai Li; William Hartmann; Matthew Snover (CoRR, 2024)

Cross-Lingual Conversational Speech Summarization with Large Language Models. - Max Nelson; Shannon Wotherspoon; Francis Keith; William Hartmann; Matthew Snover (CoRR, 2024)