Robust speech recognition under noisy ambient conditions

Abstract

Automatic speech recognition is critical in natural human-centric interfaces for ambient intelligence. The performance of an automatic speech recognition system, however, degrades drastically when there is a mismatch between training and testing conditions. The aim of robust speech recognition is to overcome the mismatch problem so the result is a moderate and graceful degradation in recognition performance. In this chapter, we provide a brief overview of an automatic speech recognition system, describe sources of speech variability that cause mismatch between training and testing, and discuss some of the current techniques to achieve robust speech recognition.