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Accented Speech Recognition Based on End-to-End Domain Adversarial Training of Neural Networks
2021
Applied Sciences
The performance of automatic speech recognition (ASR) may be degraded when accented speech is recognized because the speech has some linguistic differences from standard speech. Conventional accented speech recognition studies have utilized the accent embedding method, in which the accent embedding features are directly fed into the ASR network. Although the method improves the performance of accented speech recognition, it has some restrictions, such as increasing the computational costs. This
doi:10.3390/app11188412
fatcat:qawsqisvqjfsdh4rc4iifp7ejq