In recent years, there has been a significant increase in the popularity of voice-enabled technologies which use human speech as the primary interface with mach

This book covers the state-of-the-art in deep neural-network-based methods for noise robustness in distant speech recognition applications. It provides insights

Robustness due to mismatched train/test conditions is the biggest challenge facing the speaker recognition community today, with transmission channel and enviro

The goal of robust speech recognition is to maintain satisfactory recognition accuracy under mismatched operating conditions. This dissertation addresses the ro