Title
A decoder for large vocabulary continuous short message dictation on embedded devices
Abstract
We present our recent progress towards implementing large vocabulary continuous SMS dictation in embedded devices. The dictation engine we describe here is based on the popular finite state transducer paradigm and is capable of handling large vocabularies and high order n-gram language models in a small memory footprint - even relative to what is available in current high end devices such as the Nokia N800 Internet tablet and the N95 Symbian phone. We illustrate the performance of the engine on a 20k vocabulary Chinese Mandarin dictation task which requires less than 10Mb RAM memory to run on the device. The accuracy of the continuous engine is similar to the accuracy of the isolated word dictation engine we have previously developed.
Year
DOI
Venue
2008
10.1109/ICASSP.2008.4518615
Las Vegas, NV
Keywords
Field
DocType
electronic messaging,finite state machines,natural language processing,speech synthesis,decoder,dictation engine,embedded devices,finite state transducer paradigm,high order n-gram language model,large vocabulary continuous short message dictation,Speech recognition,finite automata,mobile communication,text communication
Speech synthesis,Computer science,Speech recognition,Finite-state machine,Dictation,Memory footprint,Vocabulary,Language model,Mobile telephony,Embedded system,The Internet
Conference
ISSN
ISBN
Citations 
1520-6149 E-ISBN : 978-1-4244-1484-0
978-1-4244-1484-0
3
PageRank 
References 
Authors
0.70
11
4
Name
Order
Citations
PageRank
Jesper Olsen1112.44
Yang Cao251.15
Guo-Hong Ding3274.99
Xinxing Yang461.97