A level-dependent auditory filter-bank for speech recognition in reverberant environments

Mapping Intimacies ◽

10.21437/interspeech.2011-204 ◽

2011 ◽

Author(s):

HariKrishna Maganti ◽

Marco Matassoni

Keyword(s):

Speech Recognition ◽

Filter Bank ◽

Auditory Filter ◽

Reverberant Environments

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A 100-channel analog CMOS auditory filter bank for speech recognition

ISSCC. 2005 IEEE International Digest of Technical Papers. Solid-State Circuits Conference, 2005. ◽

10.1109/isscc.2005.1493908 ◽

2005 ◽

Cited By ~ 18

Author(s):

E. Fragniere

Keyword(s):

Speech Recognition ◽

Filter Bank ◽

Auditory Filter ◽

Analog Cmos

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PCA-based human auditory filter bank for speech recognition

2004 International Conference on Signal Processing and Communications, 2004. SPCOM '04. ◽

10.1109/spcom.2004.1458488 ◽

2005 ◽

Cited By ~ 3

Author(s):

Vo Dinh Minh Nhat ◽

Sungyoung Lee

Keyword(s):

Speech Recognition ◽

Filter Bank ◽

Auditory Filter

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Enhancing robustness for speech recognition through bio-inspired auditory filter-bank

International Journal of Bio-Inspired Computation ◽

10.1504/ijbic.2012.049884 ◽

2012 ◽

Vol 4 (5) ◽

pp. 271

Author(s):

Hari Krishna Maganti ◽

Marco Matassoni

Keyword(s):

Speech Recognition ◽

Filter Bank ◽

Auditory Filter

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Beamforming using uniform circular arrays for distant speech recognition in reverberant environments and double talk scenarios

10.21437/interspeech.2012-394 ◽

2012 ◽

Author(s):

Hannes Pessentheiner ◽

Stefan Petrik ◽

Harald Romsdorfer

Keyword(s):

Speech Recognition ◽

Circular Arrays ◽

Reverberant Environments

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Subband temporal modulation spectrum normalization for automatic speech recognition in reverberant environments

10.21437/interspeech.2009-374 ◽

2009 ◽

Author(s):

Xugang Lu ◽

Masashi Unoki ◽

Satoshi Nakamura

Keyword(s):

Speech Recognition ◽

Automatic Speech Recognition ◽

Temporal Modulation ◽

Modulation Spectrum ◽

Reverberant Environments

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Filtering of Filter-Bank Energies for Robust Speech Recognition

ETRI Journal ◽

10.4218/etrij.04.0203.0033 ◽

2004 ◽

Vol 26 (3) ◽

pp. 273-276 ◽

Cited By ~ 6

Author(s):

Ho-Young Jung

Keyword(s):

Speech Recognition ◽

Filter Bank ◽

Robust Speech Recognition

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Bilinear map of filter-bank outputs for DNN-based speech recognition

10.21437/interspeech.2015-4 ◽

2015 ◽

Author(s):

Tetsuji Ogawa ◽

Kenshiro Ueda ◽

Kouichi Katsurada ◽

Tetsunori Kobayashi ◽

Tsuneo Nitta

Keyword(s):

Speech Recognition ◽

Filter Bank ◽

Bilinear Map

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Noise Robust Automatic Speech Recognition with Adaptive Quantile Based Noise Estimation and Speech Band Emphasizing Filter Bank

Nonlinear Analyses and Algorithms for Speech Processing - Lecture Notes in Computer Science ◽

10.1007/11613107_26 ◽

2006 ◽

pp. 291-302

Author(s):

Casper Stork Bonde ◽

Carina Graversen ◽

Andreas Gregers Gregersen ◽

Kim Hoang Ngo ◽

Kim Nørmark ◽

...

Keyword(s):

Speech Recognition ◽

Automatic Speech Recognition ◽

Filter Bank ◽

Noise Estimation ◽

Noise Robust

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An application of discriminative feature extraction to filter-bank-based speech recognition

IEEE Transactions on Speech and Audio Processing ◽

10.1109/89.902277 ◽

2001 ◽

Vol 9 (2) ◽

pp. 96-110 ◽

Cited By ~ 47

Author(s):

A. Biem ◽

S. Katagiri ◽

E. McDermott ◽

Biing-Hwang Juang

Keyword(s):

Feature Extraction ◽

Speech Recognition ◽

Filter Bank ◽

Discriminative Feature

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DSP-Based Implementation and Optimization of Auditory Filter-Bank

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.765-767.2862 ◽

2013 ◽

Vol 765-767 ◽

pp. 2862-2865

Author(s):

Jin Lun Chen

Keyword(s):

Signal Processing ◽

Real Time ◽

Filter Bank ◽

Audio Signal ◽

Audio Signal Processing ◽

Auditory Model ◽

Auditory Filter ◽

The Real ◽

Model Based ◽

Signal Processing Systems

The auditory filter-bank is the key component of auditory model, and its implementation involves a lot of computations. The time spent by an auditory filter-bank to finish its work has a significant effect on the real-time implementation of auditory model-based audio signal processing systems. In this paper, we give a brief introduction to the auditory filter-bank at the first, and then discuss its DSP-based implementation and optimization in details.

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