By Topic

Sinusoidal Modeling Using Elliptic Filter for Analysis and Synthesis of Speech Signals

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Kihong Kim ; National Security Research Institute, 161, Gajeong-dong, Yuseong-gu, Daejeon, 305-350, Republic of Korea. Tel: +82-42-860-1425; E-mail:, ; Byeongho Ahn ; Yongick Chung ; Taekjun Nam
more authors

The initial form of sinusoidal model was first introduced in the 1980s. It has been applied to a broad range of speech and audio signal processing such as analysis/synthesis, coding, fundamental frequency modification, time and frequency scale modification. This model uses peaks picking method to estimate the sinusoidal components {amplitudes, frequencies, and phases}. One drawback of this model, however, is that the analysis frame length is generally fixed in analyzing the signal. An analysis frame with fixed length cannot guarantee an optimal spectral resolution to each sinusoidal components. In this paper, in order to obtain better spectral resolution and to estimate the sinusoidal component more accurately, we propose a sinusoidal model using elliptic filter. Experimental results show that the proposed model achieves better performance, in terms of waveform, spectrum, and the synthetic speech quality, than conventional and wavelet transform model

Published in:

2006 SICE-ICASE International Joint Conference

Date of Conference:

18-21 Oct. 2006