Speech Recognition on Mobile Devices

Zheng-Hua Tan, Børge Lindberg

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8 Citationer (Scopus)

Abstract

The enthusiasm of deploying automatic speech recognition (ASR) on
mobile devices is driven both by remarkable advances in ASR technology and
by the demand for efficient user interfaces on such devices as mobile phones
and personal digital assistants (PDAs). This chapter presents an overview of
ASR in the mobile context covering motivations, challenges, fundamental
techniques and applications. Three ASR architectures are introduced: embedded
speech recognition, distributed speech recognition and network speech
recognition. Their pros and cons and implementation issues are discussed.
Applications within command and control, text entry and search are presented
with an emphasis on mobile text entry.
OriginalsprogEngelsk
BogserieLecture Notes in Computer Science
Vol/bind5960
Sider (fra-til)221-237
ISSN0302-9743
DOI
StatusUdgivet - 2010

Bibliografisk note

Volume 5960 title: Mobile Multimedia Processing Fundamentals, Methods, and Applications, ISBN (print): 978-3-642-12348-1

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