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Found 4 papers, 2 papers with code
Exploring data augmentation in bias mitigation against non-native-accented speech
We aim to mitigate the bias against non-native-accented Flemish in a Flemish ASR system.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Improving Whispered Speech Recognition Performance using Pseudo-whispered based Data Augmentation
Whispering is a distinct form of speech known for its soft, breathy, and hushed characteristics, often used for private communication.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Using Data Augmentations and VTLN to Reduce Bias in Dutch End-to-End Speech Recognition Systems
Speech technology has improved greatly for norm speakers, i. e., adult native speakers of a language without speech impediments or strong accents.
Predicting within and across language phoneme recognition performance of self-supervised learning speech pre-trained models
Compared with MFCC, in the within-language scenario, the performance of these SSL speech pre-trained models on AF probing tasks achieved a maximum relative increase of 34. 4%, and it resulted in the lowest PER of 10. 2%.
