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.
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.
Original language | English |
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Book series | Lecture Notes in Computer Science |
Volume | 5960 |
Pages (from-to) | 221-237 |
ISSN | 0302-9743 |
DOIs | |
Publication status | Published - 2010 |
Keywords
- automatic speech recognition
- mobile device
- text entry