Robust Speaker Recognition in Noisy Conditions by Means of Online Training with Noise Profiles
Ahmed H. Y. Al-Noori, Philip J. Duncan · Journal of the Audio Engineering Society · 2019
Automated speaker recognition attains impressive reliability when tested under controlled laboratory acoustic conditions. However, the environmental noise that inevitably exits in many real-world speech samples causes considerable degradation of recognition accuracy due to the so-called