Md Arifour Rahman, Yosuke Sugiura, Tetsuya Shimamura, "Accurate Power Spectrum Estimation of Speech with Spectrum Compensation Based on Prediction Error Filtering," WSEAS Transactions on Signal Processing, vol. 13, pp. 21-25, 2017, DOI:
Md Arifour Rahman, Yosuke Sugiura, Tetsuya Shimamura. Accurate Power Spectrum Estimation of Speech with Spectrum Compensation Based on Prediction Error Filtering.
WSEAS Transactions on Signal Processing. 2017;13:21-25.
WSEAS Transactions on Signal Processing
Print ISSN: 1790-5052, E-ISSN: 2224-3488
Volume 13, 2017
Accurate Power Spectrum Estimation of Speech with Spectrum Compensation Based on Prediction Error Filtering
Authors: , ,
Abstract: This paper proposes a linear prediction (LP) method to estimate accurately the original power spectrum of the input speech signal. A prediction error filter (PEF) is used as a pre-processor, and the LP based power spectrum estimation is compensated by the frequency characteristics of the designed PEF. Through experiments on synthetic vowels, we show that the proposed spectrum compensation method can estimate the power spectrum more accurately than the direct and pre-emphasis LP methods.
Pages: 21-25 WSEAS Transactions on Signal Processing, ISSN / E-ISSN: 1790-5052 / 2224-3488, Volume 13, 2017, Art. #3 DOI: *As the DOI is a unique identifier, it is already available in the pdf version.
**The DOI link will be activated in the first midst of January 2026.
×
Citation Tools