Archive
The editorial board of the "MSTU Vestnik" journal supports the «Open Access» policy which enables users to have free and unlimited access to scientific articles (to read, download, copy, distribute) in case the author is indicated when further quoted.
Warning: file_get_contents(http://doi.crossref.org/servlet/getForwardLinks?usr=murmansk&pwd=4_mstu&doi=): failed to open stream: HTTP request failed! HTTP/1.1 400 Bad Request in /var/www/old/sites/vestnik/php/find_ref.php on line 2
Analysis of audio signal self-similarity properties based on differential and integrating algorithms of fractional order
Abstract. In this paper audio signal self-similarity based on differential and integrating algorithms of fraction order has been researched. In algorithms the moving sums and the moving differences describing low-frequency and high-frequency filtering of the input audio signal accordingly have been used. The frequency transfer constants of appropriate filters have been raised to the fractional order. Some results of computer simulation of transformations have been presented.
Keywords: audio signal self-similarity, audio signal recognition, speech recognition, speech features, moving sums and moving differences, low-pass and high-pass filtering, algorithms of fractional order, transformation of spectrum, discrete Fourier transformation
Printed reference: Zharkikh A.A., Pavlov I.A. Analysis of audio signal self-similarity properties based on differential and integrating algorithms of fractional order // Vestnik of MSTU. 2010. V. 13, No 4. P. -.
Electronic reference: Zharkikh A.A., Pavlov I.A. Analysis of audio signal self-similarity properties based on differential and integrating algorithms of fractional order // Vestnik of MSTU. 2010. V. 13, No 4. P. -. URL: http://vestnik.mstu.edu.ru/v13_5_n42/articles/37_pavlo.pdf.
