Journal ArticleDOI
A scalable wideband speech codec using the wavelet packet transform based on the internet low bitrate codec
Koji Seto,Tokunbo Ogunfunmi +1 more
Reads0
Chats0
TLDR
Improvements to the scalable wideband speech codec based on the iLBC are presented, employing the wavelet packet transform (WPT) instead of the modified discrete cosine transform (MDCT) to enhance the quality, and the proposed codec outperforms G.729.1 at most bit rates according to the objective quality.About:
This article is published in Computer Speech & Language.The article was published on 2019-03-01. It has received 3 citations till now. The article focuses on the topics: Codec & Code-excited linear prediction.read more
Citations
More filters
Journal ArticleDOI
Speech Signal Autoregression Modeling Based on the Discrete Fourier Transform and Scale-Invariant Measure of Information Discrimination
V. V. Savchenko,L. V. Savchenko +1 more
Journal ArticleDOI
A new time–frequency representation based on the tight framelet packet for telephone-band speech coding
Souhir Bousselmi,Kais Ouni +1 more
TL;DR: In this paper , a new time-frequency representation based on a tight framelet packet transform is proposed to improve the quality and intelligibility of telephone-band speech coding, which is obtained using dynamic bit allocation and optimal quantization of normalized framelet coefficients.
References
More filters
Book
Ten lectures on wavelets
TL;DR: This paper presents a meta-analyses of the wavelet transforms of Coxeter’s inequality and its applications to multiresolutional analysis and orthonormal bases.
Journal ArticleDOI
Ten Lectures on Wavelets
TL;DR: In this article, the regularity of compactly supported wavelets and symmetry of wavelet bases are discussed. But the authors focus on the orthonormal bases of wavelets, rather than the continuous wavelet transform.
Journal ArticleDOI
Wavelets and signal processing
Olivier Rioul,Martin Vetterli +1 more
TL;DR: A simple, nonrigorous, synthetic view of wavelet theory is presented for both review and tutorial purposes, which includes nonstationary signal analysis, scale versus frequency,Wavelet analysis and synthesis, scalograms, wavelet frames and orthonormal bases, the discrete-time case, and applications of wavelets in signal processing.
Book
Wavelets and Subband Coding
Martin Vetterli,Jelena Kovacevic +1 more
TL;DR: Wavelets and Subband Coding offered a unified view of the exciting field of wavelets and their discrete-time cousins, filter banks, or subband coding and developed the theory in both continuous and discrete time.
Journal ArticleDOI
Capacity of a burst-noise channel
TL;DR: The capacity C of the model channel exceeds the capacity C(sym. bin.) of a memoryless symmetric binary channel with the same error probability; however, the difference is slight for some values of h, p, P; then, time-division encoding schemes may be fairly efficient.