Speech recognition on mobile devices

Authors:
Zheng-Hua Tan;Børge Lindberg
Affiliations:
Multimedia Information and Signal Processing (MISP), Department of Electronic Systems, Aalborg University, Aalborg, Denmark;Multimedia Information and Signal Processing (MISP), Department of Electronic Systems, Aalborg University, Aalborg, Denmark
Venue:
Mobile Multimedia Processing
Year:
2010

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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.