Title :
Improved line spectral frequency estimation through anti-aliasing filtering
Author :
Al-Naimi, K. ; Villette, S. ; Kondoz, A. ; Heikkinen, A.P.
Author_Institution :
Centre for Commun. Syst. Res., Univ. of Surrey, Guildford
Abstract :
A study of the classic line spectral frequency (LSF) extraction methods along with the assumptions made during their estimation is presented. LSF extraction is investigated from an over-sampling and decimation perspective and LSFs are shown to contain high-frequency variations that led to spectral overlapping problems. An anti-aliasing filter prior to decimation, with a cut-off frequency dependent on the final LSF vector transmission rate, is proposed to alleviate the aliasing problem of the classic extraction methods. The proposed method shows a clear advantage because it produces the same quantisation distortion as the classic methods at a lower bit requirement, with significant reduction in 2 and 4 dB outliers that greatly affect synthesised speech quality. This was also confirmed through a listening test
Keywords :
feature extraction; filtering theory; frequency estimation; quantisation (signal); spectral analysis; speech processing; LSF extraction; anti-aliasing filtering; decimation perspective; line spectral frequency estimation; over-sampling perspective; quantisation distortion; spectral overlapping problems; synthesised speech quality;
Journal_Title :
Vision, Image and Signal Processing, IEE Proceedings -
DOI :
10.1049/ip-vis:20045257