@article{KOUASSI_KONAN_COULIBALY_ASSEU_2022, title={A Speech recognition of isolated words in the “Baoulé” language via back-propagation neural networks (BNN)}, volume={10}, url={https://journals.scholarpublishing.org/index.php/AIVP/article/view/11602}, DOI={10.14738/aivp.101.11602}, abstractNote={<p>The main objective of this research is to explore how a back propagation neural network (BNN) can be applied to the speech recognition of isolated words. The simulation results show that a BNN offers an efficient approach for small vocabulary systems. The recognition rate reaches 100% for a 5 word system and 94% for a 10 word system. The general techniques developed in this article can be extended to other applications, such as the recognition of sonar targets and the classification of underwater acoustic signals.</p>}, number={1}, journal={European Journal of Applied Sciences}, author={KOUASSI, Francis Adlès and KONAN, Hyacinthe Kouassi and COULIBALY, Mamadou and ASSEU, olivier}, year={2022}, month={Jan.}, pages={103–119} }