In this paper we describe two families of algorithms for hands-free

speech recognition using microphone arrays. Enhancement-based

approaches use a cascade of independent processing blocks to perform

speech enhancement followed by speech recognition. We discuss

the reasons why this approach may be sub-optimal and motivate

the need for a solution that tightly integrates all processing blocks

into a common unified framework. This leads to a second family

of algorithms called unified approaches which considers all processing

stages to be components of a single system that operates with

the common goal of improved recognition accuracy. We describe

several examples of such algorithms that have been shown to outperform

more traditional signal-processing-based approaches. In doing

so, we hope to convey the benefits of performing hands-free speech

recognition in this manner and motivate further research in this area.

PDF file

In  Proceedings of the Workshop on Hands-Free Speech Communication and Microphone Arrays

Publisher  Institute of Electrical and Electronics Engineers, Inc.
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