Output details
13 - Electrical and Electronic Engineering, Metallurgy and Materials
Queen's University Belfast
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Article title
Optimization of Weighted Finite State Transducer for Speech Recognition
Type
D - Journal article
Title of journal
IEEE Transactions on Computers
Article number
-
Volume number
62
Issue number
8
First page of article
1607
ISSN of journal
0018-9340
Year of publication
2013
URL
-
Number of additional authors
3
Additional information
The paper describes a number of key algorithmic optimisations for an embedded speech recognition system. Traditional speech recognition systems build speech sources on-the-fly, using them to perform recognition involving heavy computation and large bandwidth; this work takes a radically different approach by pre-creating the network to reduce memory and power. The work resulted in UK patent 1020771.0 and was subsequently funded under an Invest Northern Ireland proof-of-concept grant, PoC132. The work won the 2010 HiTech CONNECT £25K Award which aims to identify knowledge-based ideas with the most commercial potential, www.nisp.co.uk/25k-award/.
Interdisciplinary
-
Cross-referral requested
-
Research group
B - Digital Communications (Digi Comms)
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
