Spectral Subtraction Steered by Multi-Step Forward Linear Prediction For Single Channel Speech Dereverberation
Keisuke Kinoshita, Tomohiro Nakatani, M. Miyoshi · 2006
A speech signal captured by a distant microphone is generally smeared by reverberation, which severely degrades automatic speech recognition (ASR) performance. In this paper, we propose a novel dereverberation method utilizing multi-step forward linear prediction. It precisely estimates and suppresses the late reflections, which constitute a major cause of ASR performance degradation. Our experimental results showed that the proposed method can improve ASR performance significantly even without using special adaptation methods such as multi-condition acoustic model training