Datasets, features, classifiers in automatic speech recognition for patients with hearing loss: A meticulous review
Mahadevaswamy, K M Manjunath, B P Pradeep Kumar, K S Praveena · 2025
Speech research is marked as the most challenging area among the several challenging research areas. The pre-sent literature is analyzed and projected to aid future investigations of the global speech research community. The problems concerned with the speech corpora, front end algorithms yielding to efficient speech representation, backend engines which outright chore of recognition, are projected in this study. Thirteen speech corpora are analyzed from the perspective of languages, time length, conviction of development and accessibility. The powerful techniques tending to rich features and robust speech recognition are enlightened in this research re-view. This work serves as the steppingstone for the researchers who wish to start their research in this domain.