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Found 5 papers, 2 papers with code
Unsupervised Improvement of Factual Knowledge in Language Models
In this work, we propose an approach for influencing MLM pretraining in a way that can improve language model performance on a variety of knowledge-intensive tasks.
InforMask: Unsupervised Informative Masking for Language Model Pretraining
In this paper, we propose InforMask, a new unsupervised masking strategy for training masked language models.
Improving End-to-End Bangla Speech Recognition with Semi-supervised Training
In this work, we focus on using a semi-supervised training approach for Bangla Speech Recognition that can exploit large unpaired audio and text data.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Preparation of Bangla Speech Corpus from Publicly Available Audio \& Text
The manual annotation of a large corpus is very difficult.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Customizing Grapheme-to-Phoneme System for Non-Trivial Transcription Problems in Bangla Language
Grapheme to phoneme (G2P) conversion is an integral part in various text and speech processing systems, such as: Text to Speech system, Speech Recognition system, etc.
