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05/28/2023
Speech Intelligibility Assessment of Dysarthric Speech by using Goodness of Pronunciation with Uncertainty Quantification
This paper proposes an improved Goodness of Pronunciation (GoP) that uti...
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04/08/2023
Unsupervised Speech Representation Pooling Using Vector Quantization
With the advent of general-purpose speech representations from large-sca...
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01/16/2023
OLKAVS: An Open Large-Scale Korean Audio-Visual Speech Dataset
Inspired by humans comprehending speech in a multi-modal manner, various...
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11/12/2022
Data-driven Approach for Automatically Correcting Faulty Road Maps
Maintaining road networks is labor-intensive, especially in actively dev...
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10/27/2022
Automatic Severity Assessment of Dysarthric speech by using Self-supervised Model with Multi-task Learning
Automatic assessment of dysarthric speech is essential for sustained tre...
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10/27/2022
Opening the Black Box of wav2vec Feature Encoder
Self-supervised models, namely, wav2vec and its variants, have shown pro...
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10/13/2022
TiDAL: Learning Training Dynamics for Active Learning
Active learning (AL) aims to select the most useful data samples from an...
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09/26/2022
Cross-lingual Dysarthria Severity Classification for English, Korean, and Tamil
This paper proposes a cross-lingual classification method for English, K...
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08/16/2022
Reliable Decision from Multiple Subtasks through Threshold Optimization: Content Moderation in the Wild
Social media platforms struggle to protect users from harmful content th...
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06/25/2022
Distilling a Pretrained Language Model to a Multilingual ASR Model
Multilingual speech data often suffer from long-tailed language distribu...
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11/29/2021
Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection
Recent studies on learning with noisy labels have shown remarkable perfo...
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10/27/2021
Temporal Knowledge Distillation for On-device Audio Classification
Improving the performance of on-device audio classification models remai...
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03/15/2021
Pretraining Neural Architecture Search Controllers with Locality-based Self-Supervised Learning
Neural architecture search (NAS) has fostered various fields of machine ...
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12/01/2020
Disentangling Label Distribution for Long-tailed Visual Recognition
The current evaluation protocol of long-tailed visual recognition trains...
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11/16/2020
