Speech Recognition on Mobile Devices

Zheng-Hua Tan, Børge Lindberg

Research output: Contribution to journalJournal articleResearchpeer-review

6 Citations (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.
Original languageEnglish
Book seriesLecture Notes in Computer Science
Volume5960
Pages (from-to)221-237
ISSN0302-9743
DOIs
Publication statusPublished - 2010

Fingerprint

Automatic Speech Recognition
Speech Recognition
Speech recognition
Text Entry
Mobile devices
Mobile Devices
Command and Control
User Interface
Personal digital assistants
Covering
User interfaces

Keywords

  • automatic speech recognition
  • mobile device
  • text entry

Cite this

Tan, Zheng-Hua ; Lindberg, Børge. / Speech Recognition on Mobile Devices. In: Lecture Notes in Computer Science. 2010 ; Vol. 5960. pp. 221-237.
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Speech Recognition on Mobile Devices. / Tan, Zheng-Hua; Lindberg, Børge.

In: Lecture Notes in Computer Science, Vol. 5960, 2010, p. 221-237.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

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AU - Tan, Zheng-Hua

AU - Lindberg, Børge

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PY - 2010

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AB - The enthusiasm of deploying automatic speech recognition (ASR) onmobile devices is driven both by remarkable advances in ASR technology andby the demand for efficient user interfaces on such devices as mobile phonesand personal digital assistants (PDAs). This chapter presents an overview ofASR in the mobile context covering motivations, challenges, fundamentaltechniques and applications. Three ASR architectures are introduced: embeddedspeech recognition, distributed speech recognition and network speechrecognition. Their pros and cons and implementation issues are discussed.Applications within command and control, text entry and search are presentedwith an emphasis on mobile text entry.

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KW - mobile device

KW - text entry

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

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

M3 - Journal article

VL - 5960

SP - 221

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JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

SN - 0302-9743

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