Abstract
The paper presents a method to compensate Mel-frequency cepstral coefficients (MFCCs) for a HMM-based speech recognition system evolving under telephone-channel degradations. The technique we propose is based on the combination of the Karhonen-Loeve transform (KLT) and genetic algorithms (GA). The idea consists of projecting the band-limited MFCCs onto a subspace generated by the genetically optimized KLT principal axes. Experiments show a clear improvement when the method is applied to the NTIMIT telephone speech database. Word recognition results obtained on the HTK toolkit platform using N-mixture triphone models and a bigram language model are presented and discussed.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
