Title :
A new perceptually weighted distance measure for VQ of the STFT parameters of the speech
Author :
Doost, R. ; Sayyadian, A. ; Shamsi, H.
Author_Institution :
Electr. Fac., Amirkabir Univ. of Technol., Tehran, Iran
Abstract :
In this paper, a new perceptually weighted Euclidean distance function is proposed for the VQ of the speech signal. It employs a logarithmic preprocessing and utilizes the listening characteristics of the ear for the definition of the perceptually weighted Euclidean distance function. Simulation results show that the proposed VQ process has less spectral distortion than its conventional Euclidean counterpart does.
Keywords :
speech processing; Euclidean distance function; STFT process; VQ process; logarithmic preprocessing; perceptually weighted distance measure; speech signal; Dynamic range; Ear; Electric variables measurement; Euclidean distance; Frequency; Mathematical model; Speech processing; Training data; Vector quantization; Weight measurement; Euclidean distance function; STFT; Spectral Distortion (SD); VQ;
Conference_Titel :
EUROCON 2009, EUROCON '09. IEEE
Conference_Location :
St.-Petersburg
Print_ISBN :
978-1-4244-3860-0
Electronic_ISBN :
978-1-4244-3861-7
DOI :
10.1109/EURCON.2009.5167828
