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Matthew Snover
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Conference and Workshop Papers
- 2022
- [c3]Chak-Fai Li, Francis Keith, William Hartmann, Matthew Snover:
Combining Unsupervised and Text Augmented Semi-Supervised Learning For Low Resourced Autoregressive Speech Recognition. ICASSP 2022: 6892-6896 - 2021
- [c2]Shannon Wotherspoon, William Hartmann, Matthew Snover, Owen Kimball:
Improved Data Selection for Domain Adaptation in ASR. ICASSP 2021: 7018-7022 - 2016
- [c1]Kerri Barnes, Matthew Snover, Man-Hung Siu, Herbert Gish:
Importance sampling of delta-AUC: A basis for active learning for improved keyword search. ICASSP 2016: 2244-2248
Informal and Other Publications
- 2024
- [i7]Shannon Wotherspoon, William Hartmann, Matthew Snover:
Advancing Speech Translation: A Corpus of Mandarin-English Conversational Telephone Speech. CoRR abs/2404.11619 (2024) - [i6]Chak-Fai Li, William Hartmann, Matthew Snover:
TOGGL: Transcribing Overlapping Speech with Staggered Labeling. CoRR abs/2408.06474 (2024) - [i5]Max Nelson, Shannon Wotherspoon, Francis Keith, William Hartmann, Matthew Snover:
Cross-Lingual Conversational Speech Summarization with Large Language Models. CoRR abs/2408.06484 (2024) - 2022
- [i4]Chak-Fai Li, Francis Keith, William Hartmann, Matthew Snover:
Training Autoregressive Speech Recognition Models with Limited in-domain Supervision. CoRR abs/2210.15135 (2022) - 2021
- [i3]Andrew Slottje, Shannon Wotherspoon, William Hartmann, Matthew Snover, Owen Kimball:
Using heterogeneity in semi-supervised transcription hypotheses to improve code-switched speech recognition. CoRR abs/2106.07699 (2021) - [i2]Chak-Fai Li, Francis Keith, William Hartmann, Matthew Snover, Owen Kimball:
Overcoming Domain Mismatch in Low Resource Sequence-to-Sequence ASR Models using Hybrid Generated Pseudotranscripts. CoRR abs/2106.07716 (2021) - [i1]Chak-Fai Li, Francis Keith, William Hartmann, Matthew Snover:
Combining Unsupervised and Text Augmented Semi-Supervised Learning for Low Resourced Autoregressive Speech Recognition. CoRR abs/2110.15836 (2021)
Coauthor Index
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