%Aigaion2 BibTeX export from Idiap Publications
%Saturday 20 December 2025 04:57:08 PM

@TECHREPORT{tsamuel:rr08-42,
                      author = {Thomas, Samuel and Ganapathy, Sriram and Hermansky, Hynek},
                    projects = {Idiap},
                       title = {Hilbert Envelope Based Features for Far-Field Speech Recognition},
                        type = {Idiap-RR},
                      number = {Idiap-RR-42-2008},
                        year = {2008},
                 institution = {IDIAP},
                        note = {To appear in MLMI 2008},
                    abstract = {Automatic speech recognition (ASR) systems, trained on speech signals from close-talking microphones, generally fail in recognizing far-field speech. In this paper, we present a Hilbert Envelope based feature extraction technique to alleviate the artifacts introduced by room reverberations. The proposed technique is based on modeling temporal envelopes of the speech signal in narrow sub-bands using Frequency Domain Linear Prediction (FDLP). ASR experiments on far-field speech using the proposed FDLP features show significant performance improvements when compared to other robust feature extraction techniques (average relative improvement of $43 \%$ in word error rate).},
                         pdf = {https://publications.idiap.ch/attachments/reports/2008/tsamuel-idiap-rr-08-42.pdf},
                  postscript = {ftp://ftp.idiap.ch/pub/reports/2008/tsamuel-idiap-rr-08-42.ps.gz},
ipdmembership={speech},
}