Spectro-temporal modulation subspace-spanning filter bank features for robust automatic speech recognition

The Journal of the Acoustical Society of America
M R René SchädlerBirger Kollmeier

Abstract

In an attempt to increase the robustness of automatic speech recognition (ASR) systems, a feature extraction scheme is proposed that takes spectro-temporal modulation frequencies (MF) into account. This physiologically inspired approach uses a two-dimensional filter bank based on Gabor filters, which limits the redundant information between feature components, and also results in physically interpretable features. Robustness against extrinsic variation (different types of additive noise) and intrinsic variability (arising from changes in speaking rate, effort, and style) is quantified in a series of recognition experiments. The results are compared to reference ASR systems using Mel-frequency cepstral coefficients (MFCCs), MFCCs with cepstral mean subtraction (CMS) and RASTA-PLP features, respectively. Gabor features are shown to be more robust against extrinsic variation than the baseline systems without CMS, with relative improvements of 28% and 16% for two training conditions (using only clean training samples or a mixture of noisy and clean utterances, respectively). When used in a state-of-the-art system, improvements of 14% are observed when spectro-temporal features are concatenated with MFCCs, indicating the complementa...Continue Reading

References

Apr 1, 1990·The Journal of the Acoustical Society of America·H Hermansky
Mar 28, 2003·Journal of Neurophysiology·Anqi QiuMonty A Escabí
Sep 15, 2005·The Journal of the Acoustical Society of America·Taishih ChiShihab A Shamma
Feb 6, 2008·The Journal of the Acoustical Society of America·Nima MesgaraniShihab A Shamma
Feb 10, 2011·The Journal of the Acoustical Society of America·Bernd T MeyerBirger Kollmeier
Jul 27, 2011·The Journal of the Acoustical Society of America·Nima MesgaraniHynek Hermansky

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Citations

Dec 11, 2013·Neural Computation·Phillip B Schafer, Dezhe Z Jin
Aug 24, 2013·The Journal of the Acoustical Society of America·Tim JürgensGuy J Brown
Apr 30, 2015·The Journal of the Acoustical Society of America·Marc René Schädler, Birger Kollmeier
Feb 24, 2015·The Journal of the Acoustical Society of America·Arne Oetjen, Jesko L Verhey
Jun 3, 2016·The Journal of the Acoustical Society of America·Marc René SchädlerBirger Kollmeier
Mar 31, 2015·PloS One·Tony Lindeberg, Anders Friberg
Sep 3, 2016·The Journal of the Acoustical Society of America·Michael A Stone, Shanelle Canavan
Oct 2, 2017·The Journal of the Acoustical Society of America·Purvi Agrawal, Sriram Ganapathy
Apr 5, 2017·The Journal of the Acoustical Society of America·Arne Oetjen, Jesko L Verhey
Jan 3, 2020·The Journal of the Acoustical Society of America·Kai SiedenburgDavid Hülsmeier
Feb 25, 2017·Frontiers in Systems Neuroscience·Jörg-Hendrik BachJörn Anemüller
Aug 4, 2021·The Journal of the Acoustical Society of America·Rachid RiadEmmanuel Dupoux

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