Bangla-Wave: Improving Bangla Automatic Speech Recognition Utilizing N-gram Language Models
Author:
Affiliation:
1. Apurba-NSU R&D Lab, North South University, Bangladesh
2. Apurba Technologies, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3587828.3587872
Reference13 articles.
1. A Large Multi-target Dataset of Common Bengali Handwritten Graphemes
2. Class-Based n-Gram Models of Natural;Brown F.;Language. Comput. Linguist.,1992
3. An empirical study of smoothing techniques for language modeling
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1. Enhancing Automatic English Word Analysis and Prediction using Higher-Order N-Gram Models;2024 International Conference on Science Technology Engineering and Management (ICSTEM);2024-04-26
2. A Comprehensive Study on Bangla Automatic Speech Recognition Systems;2023 2nd International Conference on Frontiers of Communications, Information System and Data Science (CISDS);2023-11-24
3. Cepstral and acoustic ternary pattern based hybrid feature extraction approach for end-to-end bangla speech recognition;Journal of Ambient Intelligence and Humanized Computing;2023-10-09
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