Adaptive Phoneme State Learning Architecture for Enhanced Speech Recognition Using Backpropagation Neural Network and Hidden Markov Model.
- DOI
- 10.12688/f1000research.177414.2
- Published
- 2026
- Container
- F1000Research
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.12688/f1000research.177414.2,
title = {Adaptive Phoneme State Learning Architecture for Enhanced Speech Recognition Using Backpropagation Neural Network and Hidden Markov Model.},
author = {Siddalingappa R and S D and Savitha M and P K and Stella Mary I P and Gornale S and B A L and Li K and Wen Goh K},
year = {2026},
journal = {F1000Research},
doi = {10.12688/f1000research.177414.2},
url = {https://doi.org/10.12688/f1000research.177414.2}
}RIS
TY - JOUR TI - Adaptive Phoneme State Learning Architecture for Enhanced Speech Recognition Using Backpropagation Neural Network and Hidden Markov Model. AU - Siddalingappa R AU - S D AU - Savitha M AU - P K AU - Stella Mary I P AU - Gornale S AU - B A L AU - Li K AU - Wen Goh K PY - 2026 JO - F1000Research DO - 10.12688/f1000research.177414.2 UR - https://doi.org/10.12688/f1000research.177414.2 ER -
APA
R, S., D, S., M, S., K, P., P, S. M. I., S, G., L, B. A., K, L., & K, W. G. (2026). Adaptive Phoneme State Learning Architecture for Enhanced Speech Recognition Using Backpropagation Neural Network and Hidden Markov Model.. F1000Research. https://doi.org/10.12688/f1000research.177414.2
Source records
- pubmed · retrieved 2026-09-26T02:37:59.113Z