Machine learning improvements to compressive sensing for speech enhancement in hearing aid applications

Autor: Vanjari, Hrishikesh B, Kolte, Mahesh T

Publikováno v: World Journal of Engineering, 2021, Vol. 19, Issue 2, pp. 216-223.

Externí odkaz: http://www.emeraldinsight.com/doi/10.1108/WJE-06-2021-0324

Improving the hearing aid system using optimized variable bandwidth filter based on wolf optimization.

Autor: Rawandale, Ujjwala S., Kolte, Mahesh T.

Publikováno v: Multimedia Tools & Applications; Oct2024, Vol. 83 Issue 33, p79503-79531, 29p

Enhancement of Speech for Hearing Aid Applications Integrating Adaptive Compressive Sensing with Noise Estimation Based Adaptive Gain

Autor: Vanjari , Hrishikesh B., Kolte , Mahesh T.

Publikováno v: International Journal of Intelligent Systems and Applications in Engineering; Vol. 11 No. 7s (2023): Advancements in Machine Learning for Computer Science and Decision Support Systems; 138-157

Hearing aids provide the necessary amplification for successful rehabilitation of hearing-impaired persons. It becomes very challenging for hearing aid devicesto attain close to normal hearing. This research suggests a method for improving communicat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=issn21476799::743c215d46ebccc96ac08daeda129d71
https://www.ijisae.org/index.php/IJISAE/article/view/2941

Multi-user Detection in DS-CDMA System Using Biogeography Based Optimization

Autor: Nemade, Santosh N., Kolte, Mahesh T., Nemade, Santosh

Publikováno v: In Procedia Computer Science 2015 49:289-297

Evaluation of speech processing schemes to improve perception of sensorineural hearing impaired

Autor: Kolte, Mahesh T., Chaudhari, D. S.

Publikováno v: Current Science, 2010 Mar 01. 98(5), 613-615.

Externí odkaz: https://www.jstor.org/stable/24111813