Adapted local trigonometric transforms and speech processing

Eva Wesfreid, Mladen Victor Wickerhauser · IEEE Transactions on Signal Processing · 1993

Uses an algorithm based on the adapted-window Malvar transform to decompose digitized speech signals into a local time-frequency representation. The authors present some applications and experimental results for a signal compression and automatic voiced-unvoiced segmentation. This decomposition provides a method of parameter simplification which appears to be useful for detecting fundamental frequencies, and characterizing formants.>

Read the paper · More papers on PaperTik