DocumentCode
3423718
Title
A decoder for large vocabulary continuous short message dictation on embedded devices
Author
Olsen, Jesper ; Cao, Yang ; Ding, Guohong ; Yang, Xinxing
Author_Institution
Nokia Res. Center, Beijing
fYear
2008
fDate
March 31 2008-April 4 2008
Firstpage
4337
Lastpage
4340
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.
Keywords
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; Decoding; Hidden Markov models; Internet; Natural languages; Quantization; Random access memory; Read-write memory; Search engines; Speech recognition; Vocabulary; Speech recognition; finite automata; mobile communication; text communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location
Las Vegas, NV
ISSN
1520-6149
Print_ISBN
978-1-4244-1483-3
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2008.4518615
Filename
4518615
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