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Found 2 papers, 1 papers with code
K-Wav2vec 2.0: Automatic Speech Recognition based on Joint Decoding of Graphemes and Syllables
Wav2vec 2. 0 is an end-to-end framework of self-supervised learning for speech representation that is successful in automatic speech recognition (ASR), but most of the work on the topic has been developed with a single language: English.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Back-Translated Task Adaptive Pretraining: Improving Accuracy and Robustness on Text Classification
Language models (LMs) pretrained on a large text corpus and fine-tuned on a downstream text corpus and fine-tuned on a downstream task becomes a de facto training strategy for several natural language processing (NLP) tasks.
