Paper Info
Title
Pocketsphinx: A Free, Real-Time Continuous Speech Recognition System for Hand-Held Devices
Abstract
The availability of real-time continuous speech recognition on mobile and embedded devices has opened up a wide range of research opportunities in human-computer interactive applications. Unfortunately, most of the work in this area to date has been confined to proprietary software, or has focused on limited domains with constrained grammars. In this paper, we present a preliminary case study on the porting and optimization of CMU Sphinx-11, a popular open source large vocabulary continuous speech recognition (LVCSR) system, to hand-held devices. The resulting system operates in an average 0.87 times real-time on a 206 MHz device, 8.03 times faster than the baseline system. To our knowledge, this is the first hand-held LVCSR system available under an open-source license
Year
DOI
Venue
2006
10.1109/ICASSP.2006.1659988
2006 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-13
Keywords
Field
DocType
human computer interaction,mobile handsets,speech recognition,206 MHz,PocketSphinx,embedded devices,hand-held devices,human-computer interactive applications,large vocabulary continuous speech recognition,mobile devices,real-time continuous speech recognition system
Rule-based machine translation,Computer science,Speech recognition,Software,Mobile device,Graphical user interface,Porting,Computer Applications,Global Positioning System,Vocabulary
Conference
Volume
ISSN
ISBN
1
1520-6149
1-4244-0469-X
Citations 
PageRank 
References 
149
7.56
9
Authors
7
Search Limit
100149
Name
Order
Citations
PageRank
David Huggins-Daines118310.58
Mohit Kumar218217.42
Arthur Chan323915.28
Alan W. Black44391742.28
Mosur Ravishankar525019.46
Alex Rudnicky61726202.34
Huggins-Daines, D.71497.56