QUT ePrints

FPGA implementation of spectral subtraction for automotive speech recognition

Whittington, Jim, Deo, Kapeel, Kleinschmidt, Tristan, & Mason, Michael W. (2009) FPGA implementation of spectral subtraction for automotive speech recognition. In IEEE Workshop on Computational Intelligence in Vehicles and Vehicular Systems, 30 March - 2 April 2009, Nashville, TN.

Abstract

The use of speech recognition in noisy automotive environments requires the application of speech enhancement algorithms to improve recognition performance. Deploying these enhancement techniques necessitates significant engineering to ensure algorithms are realisable in electronic hardware. This paper describes advances in porting the popular spectral subtraction algorithm to a Spartan-3A DSP field-programmable gate array (FPGA) device suitable for integration in automotive environments. Resource analysis shows the final design uses only 13% of the total available general logic resources making it suitable for integration with other in-car devices on a single FPGA. Speech recognition experiments have been used to verify the effectiveness of the FPGA implementation for in-car speech recognition in comparison with an equivalent floating-point implementation.

Impact and interest:

2 citations in Scopus
Search Google Scholar™
0 citations in Web of Science®

Citation countsare sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

464 since deposited on 08 May 2009
102 in the past twelve months

Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 20394
Item Type: Conference Paper
Additional URLs:
Keywords: Field programmable gate array, road vehicles, speech recognition, speech enhancement
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Circuits and Systems (090601)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Institutes > Information Security Institute
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2009 IEEE
Deposited On: 08 May 2009 10:07
Last Modified: 08 Apr 2013 15:09

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page