TY - JOUR

T1 - Speech Recognition on Mobile Devices

A1 - Tan,Zheng-Hua

A1 - Lindberg,Børge

AU - Tan,Zheng-Hua

AU - Lindberg,Børge

PB - Springer

PY - 2010

Y1 - 2010

N2 - The enthusiasm of deploying automatic speech recognition (ASR) on<br/>mobile devices is driven both by remarkable advances in ASR technology and<br/>by the demand for efficient user interfaces on such devices as mobile phones<br/>and personal digital assistants (PDAs). This chapter presents an overview of<br/>ASR in the mobile context covering motivations, challenges, fundamental<br/>techniques and applications. Three ASR architectures are introduced: embedded<br/>speech recognition, distributed speech recognition and network speech<br/>recognition. Their pros and cons and implementation issues are discussed.<br/>Applications within command and control, text entry and search are presented<br/>with an emphasis on mobile text entry.

AB - The enthusiasm of deploying automatic speech recognition (ASR) on<br/>mobile devices is driven both by remarkable advances in ASR technology and<br/>by the demand for efficient user interfaces on such devices as mobile phones<br/>and personal digital assistants (PDAs). This chapter presents an overview of<br/>ASR in the mobile context covering motivations, challenges, fundamental<br/>techniques and applications. Three ASR architectures are introduced: embedded<br/>speech recognition, distributed speech recognition and network speech<br/>recognition. Their pros and cons and implementation issues are discussed.<br/>Applications within command and control, text entry and search are presented<br/>with an emphasis on mobile text entry.

KW - automatic speech recognition

KW - mobile device

KW - text entry

U2 - 10.1007/978-3-642-12349-8_13

DO - 10.1007/978-3-642-12349-8_13

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

SN - 0302-9743

VL - 5960

SP - 221

EP - 237

ER -