Matthew Snover

According to our database, Matthew Snover authored at least 6 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Training Autoregressive Speech Recognition Models with Limited in-domain Supervision.

Chak-Fai Li, Francis Keith, William Hartmann, Matthew Snover

CoRR, 2022

Combining Unsupervised and Text Augmented Semi-Supervised Learning For Low Resourced Autoregressive Speech Recognition.

Chak-Fai Li, Francis Keith, William Hartmann, Matthew Snover

Proceedings of the IEEE International Conference on Acoustics, 2022

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

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

Improved Data Selection for Domain Adaptation in ASR.

Shannon Wotherspoon, William Hartmann, Matthew Snover, Owen Kimball

Proceedings of the IEEE International Conference on Acoustics, 2021

2016

Importance sampling of delta-AUC: A basis for active learning for improved keyword search.

Kerri Barnes, Matthew Snover, Man-Hung Siu, Herbert Gish

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016