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Found 2 papers, 1 papers with code
Maximum F1-score training for end-to-end mispronunciation detection and diagnosis of L2 English speech
End-to-end (E2E) neural models are increasingly attracting attention as a promising modeling approach for mispronunciation detection and diagnosis (MDD).
TENET: A Time-reversal Enhancement Network for Noise-robust ASR
Due to the unprecedented breakthroughs brought about by deep learning, speech enhancement (SE) techniques have been developed rapidly and play an important role prior to acoustic modeling to mitigate noise effects on speech.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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