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Debiased Automatic Speech Recognition for Dysarthric Speech via Sample Reweighting with Sample Affinity Test
Since ERM utilizes the averaged performance on the data samples regardless of a group such as healthy or dysarthric speakers, ASR systems are unaware of the performance disparities across the groups.
Exploring Train and Test-Time Augmentations for Audio-Language Learning
In this paper, we aim to unveil the impact of data augmentation in audio-language multi-modal learning, which has not been explored despite its importance.
Ranked #2 on
Audio to Text Retrieval
on AudioCaps
Representation Selective Self-distillation and wav2vec 2.0 Feature Exploration for Spoof-aware Speaker Verification
Our study allows us to analyze which attribute of speech signals is advantageous for the CM systems.
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