NDLI: Adaptive mel cepstral analysis based on UELS method

Content Provider	IEEE Xplore Digital Library
Author	Imai, S.
Copyright Year	2000
Description	Author affiliation: Chiba Inst. of Technol., Narashino, Japan (Imai, S.)
Abstract	This paper proposes an adaptive mel cepstral analysis technique based on the UELS (unbiased estimation of log spectrum) method. In the UELS method, we utilize a spectral evaluation function derived from the unbiasedness condition for log spectral estimates. The log spectral estimates are obtained by minimizing the spectral evaluation function. In the mel cepstral analysis technique, the model spectrum is represented by the log squared magnitude of the frequency response of the MLSA (mel log spectrum approximation) filter having the filter coefficients of the mel cepstrum. With this mel cepstral analysis technique, we can extract an efficient and precise spectral envelope represented by the mel log spectrum of a trigonometric polynomial with the coefficients of mel cepstrum. The minimization of the spectral evaluation function can be performed iteratively. If the iterative minimization process is mainly performed in frequency domain, block processing is suitable. Since the iterative equation for the minimization can be converted into a time domain iterative equation by the Fourier transform, we obtain an adaptive algorithm for the mel cepstral analysis. At each iteration in the adaptation process, the filter coefficients are updated using only the output vector, whereas the input vector and the output vector are needed to update the filter coefficients in the LMS algorithm. To implement the M-th order mel cepstral analysis, the algorithm requires O(M) operations per sample. It is shown the algorithm has fast convergence properties in comparison with the LMS algorithm.
Starting Page	304
Ending Page	309
File Size	471351
Page Count	6
File Format	PDF
ISBN	0780358007
DOI	10.1109/ASSPCC.2000.882490
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-10-04
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Performance evaluation Filters Minimization methods Cepstral analysis Cepstrum Frequency response Polynomials Least squares approximation Equations Frequency domain analysis
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

On frequency-domain least squares adaptive algorithms

Adaptive filtering in subbands using a weighted criterion

On the frequency-domain properties of Savitzky-Golay filters

An adaptive system identification method on bispectrum

An orthogonal least square approach to select features of infant cry with asphyxia

An adaptive post-filtering technique based on a least squares approach

Fast least squares algorithm for linear phase FIR filters

Frequency Domain Performance of Lms

Covariance sequence approximation for recursive digital filter design

Adaptive mel cepstral analysis based on UELS method

Similar Documents

On frequency-domain least squares adaptive algorithms

Adaptive filtering in subbands using a weighted criterion

On the frequency-domain properties of Savitzky-Golay filters

An adaptive system identification method on bispectrum

An orthogonal least square approach to select features of infant cry with asphyxia

An adaptive post-filtering technique based on a least squares approach

Fast least squares algorithm for linear phase FIR filters

Frequency Domain Performance of Lms

Covariance sequence approximation for recursive digital filter design

Adaptive mel cepstral analysis based on UELS method