Construction of Anytime Algorithms for Robust Speech Recognition

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Reliability of voice-controlled Ambient Assisted Living (AAL) systems depends mostly on real-time recognition of speech commands coming from a noisy environment. This paper discusses the aspects of constructing anytime algorithms for robust speech recognition in AAL systems. In this case, command recognition is a speaker-dependent classification on a limited set of isolated phrases. An interruptible search can rule out every command that is not a possible solution according to various parameters of speech, and can identify a spoken command with a sufficiently high probability, while keeping time constraints in mind.

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265-268

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July 2015

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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