Mobile microphone robust acoustic feature identifcation using coefcient of variance

• Main Authors: Nik Hashim, Nik Nur Wahidah, Ahmed Ezzi, Mugahed Al Ezzi, Wilkes, Mitch D.
• Format: Article
• Language: English
• Published: Springer 2021
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://irep.iium.edu.my/94266/9/94266_Mobile%20microphone%20robust%20acoustic%20feature%20identifcation%20using%20coefcient%20of%20variance.pdf; http://irep.iium.edu.my/94266/; https://doi.org/10.1007/s10772-021-09877-1

One of the most challenging techniques for speech analysis applications in mobile phones is acoustic feature extraction. The adverse environment noises, diversity of microphone specifications, and various recording software have a significant effect on the values of the extracted acous...