An FFT-Based Companding Front End for Noise-Robust Automatic Speech Recognition
Author(s)
Raj, Bhiksha; Turicchia, Lorenzo; Schmidt-Nielsen, Bent; Sarpeshkar, Rahul
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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.
Date issued
2007-06Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Research Laboratory of ElectronicsJournal
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
ISSN
1687-4714
1687-4722