AUDITORY MODEL BASED MODIFIED MFCC FEATURES
2010 (English)In: 2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2010, 4590-4593 p.Conference paper (Refereed)
Using spectral and spectro-temporal auditory models, we develop a computationally simple feature vector based on the design architecture of existing mel frequency cepstral coefficients (MFCCs). Along with the use of an optimized static function to compress a set of filter bank energies, we propose to use a memory-based adaptive compression function to incorporate the behavior of human auditory response across time and frequency. We show that a significant improvement in automatic speech recognition (ASR) performance is obtained for any environmental condition, clean as well as noisy.
Place, publisher, year, edition, pages
2010. 4590-4593 p.
, International Conference on Acoustics Speech and Signal Processing ICASSP, ISSN 1520-6149
MFCC, auditory model, ASR
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-32258ISI: 000287096004126ScopusID: 2-s2.0-78049372751ISBN: 978-1-4244-4296-6OAI: oai:DiVA.org:kth-32258DiVA: diva2:410990
2010 IEEE International Conference on Acoustics, Speech, and Signal Processing
QC 201104152011-04-152011-04-112011-04-15Bibliographically approved