Michael L. Seltzer
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.
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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