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06/30/2023
What do self-supervised speech models know about words?
Many self-supervised speech models (S3Ms) have been introduced over the ...
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12/20/2022
SLUE Phase-2: A Benchmark Suite of Diverse Spoken Language Understanding Tasks
Spoken language understanding (SLU) tasks have been studied for many dec...
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11/08/2022
Comparative layer-wise analysis of self-supervised speech models
Many self-supervised speech models, varying in their pre-training object...
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10/18/2022
Hidden State Variability of Pretrained Language Models Can Guide Computation Reduction for Transfer Learning
While transferring a pretrained language model, common approaches conven...
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12/14/2021
On the Use of External Data for Spoken Named Entity Recognition
Spoken language understanding (SLU) tasks involve mapping from speech au...
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11/19/2021
SLUE: New Benchmark Tasks for Spoken Language Understanding Evaluation on Natural Speech
Progress in speech processing has been facilitated by shared datasets an...
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07/10/2021
Layer-wise Analysis of a Self-supervised Speech Representation Model
Recently proposed self-supervised learning approaches have been successf...
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05/14/2020
Taskology: Utilizing Task Relations at Scale
It has been recognized that the joint training of computer vision tasks ...
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04/11/2020
Improving Semantic Segmentation through Spatio-Temporal Consistency Learned from Videos
We leverage unsupervised learning of depth, egomotion, and camera intrin...
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04/24/2019