An FFT-Based Companding Front End for Noise-Robust Automatic Speech Recognition
Name
1687-4722-2007-065420.pdf
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1.27 MB
Format
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Checksum (MD5)
459ced905eed54f3abaa3fcd9125411b
Author(s)
Raj, Bhiksha
Turicchia, Lorenzo
Schmidt-Nielsen, Bent
Sarpeshkar, Rahul
Date Issued
June 2007
Journal
EURASIP Journal on Audio, Speech, and Music Processing
Publisher
Hindawi Publishing Corporation
Citation
EURASIP Journal on Audio, Speech, and Music Processing. 2007 Jun 26;2007(1):065420
Version
Final published version
Abstract
We describe an FFT-based companding algorithm for preprocessing speech before recognition. The algorithm mimics tone-to-tone suppression and masking in the auditory system to improve automatic speech recognition performance in noise. Moreover, it is also very computationally efficient and suited to digital implementations due to its use of the FFT. In an automotive digits recognition task with the CU-Move database recorded in real environmental noise, the algorithm improves the relative word error by 12.5% at -5 dB signal-to-noise ratio (SNR) and by 6.2% across all SNRs (-5 dB SNR to +5 dB SNR). In the Aurora-2 database recorded with artificially added noise in several environments, the algorithm improves the relative word error rate in almost all situations.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Research Laboratory of Electronics
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1155/2007/65420
