Pocketsphinx: A Free, Real-Time Continuous Speech Recognition System for Hand-Held Devices

Author

Huggins-Daines, David ; Kumar, Mohit ; Chan, Arthur ; Black, Alan W. ; Ravishankar, Mosur ; Rudnicky, Alex I.

Author_Institution

Inst. of Language Technol., Carnegie Mellon Univ., Pittsburgh, PA

Volume

1

fYear

2006

fDate

14-19 May 2006

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

Keywords

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; Application software; Graphical user interfaces; Hardware; Licenses; Natural languages; Open source software; Operating systems; Real time systems; Speech recognition; Vocabulary;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on

Conference_Location

Toulouse

ISSN

1520-6149

Print_ISBN

1-4244-0469-X

Type

conf

DOI

10.1109/ICASSP.2006.1659988

Filename

1659988