๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

A method for accelerated discrete filtering of speech signals

โœ Scribed by O.N. Karpov


Publisher
Elsevier Science
Year
1973
Weight
344 KB
Volume
13
Category
Article
ISSN
0041-5553

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


A method for pitch extraction of speech
โœ Tohru Takagi; Nobumasa Seiyama; Eiichi Miyasaka ๐Ÿ“‚ Article ๐Ÿ“… 2000 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 356 KB ๐Ÿ‘ 2 views

A high-performance method for pitch extraction is proposed for the purposes of real-time sequential speech processing that can be used in such applications as speech rate conversion systems. According to this method, autocorrelation functions of the input speech waveforms are calculated for one anal

New method for optimal control and filte
โœ Z. Aganovic; Z. Gajic; Xuemin Shen ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 680 KB

The algebraic regulator and filter Riccati equations of weakly coupled dticrere-rime stochastic linear control systems are completely and exactly decomposed into reduced-order continuous-time algebraic Riccati equations corresponding to the subsystems. That is, the exact solution of the global discr

An adaptive noise reduction filter for d
โœ Hiroki Yoshimura; Tadaaki Shimizu; Naoki Isu; Kazuhiro Sugata ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 335 KB

An adaptive noise reduction filter composed of a sandglass-type neural network (SNN) noise reduction filter (RF) is proposed in this paper. SNN was originally devised to work effectively for information compression. It is a hierarchial network and is symmetrically structured. SNN consists of the sam

A Comparative Study of Explicit Frequenc
โœ S. Krishnan; P.V.S. Rao ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 192 KB

The performance of a speech recognition system depends to a large extent on the signal representation strategy. It is therefore important to evaluate various signal representations, with a view to comparing their relative performance on speech recognition tasks. Various comparative studies have been