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Found 7 papers, 3 papers with code
Non-autoregressive Error Correction for CTC-based ASR with Phone-conditioned Masked LM
Connectionist temporal classification (CTC) -based models are attractive in automatic speech recognition (ASR) because of their non-autoregressive nature.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Distilling the Knowledge of BERT for CTC-based ASR
In this study, we propose to distill the knowledge of BERT for CTC-based ASR, extending our previous study for attention-based ASR.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
ASR Rescoring and Confidence Estimation with ELECTRA
We propose an ASR rescoring method for directly detecting errors with ELECTRA, which is originally a pre-training method for NLP tasks.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Distilling the Knowledge of BERT for Sequence-to-Sequence ASR
Experimental evaluations show that our method significantly improves the ASR performance from the seq2seq baseline on the Corpus of Spontaneous Japanese (CSJ).
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Generative Adversarial Training Data Adaptation for Very Low-resource Automatic Speech Recognition
We evaluated this speaker adaptation approach on two low-resource corpora, namely, Ainu and Mboshi.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Speech Corpus of Ainu Folklore and End-to-end Speech Recognition for Ainu Language
Ainu is an unwritten language that has been spoken by Ainu people who are one of the ethnic groups in Japan.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Improving OOV Detection and Resolution with External Language Models in Acoustic-to-Word ASR
Moreover, the A2C model can be used to recover out-of-vocabulary (OOV) words that are not covered by the A2W model, but this requires accurate detection of OOV words.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
