AES E-Library

A Method of Recognition of Parameterized Binary Representations of Audio Signals

Various types of analyses were applied to digitally recorded speech and musical signals. Resulting parameters were compared, each to the other ones, in order to enable automatic recognition of speech and music patterns. The modified Behrens-Fisher statistic representing the distance between compared elements proved to be an effective tool in the domain of pattern comparison. Results of theoretical approaches and practical experiments are presented in the paper.

Authors: Czyzewski, Andrzej; Kaczmarek, Andrzej; Kostek, Bozena
Affiliation: Technical University of Gdansk, Gdansk, Poland
AES Convention:94 (March 1993) Paper Number:3555 Import into BibTeX
Subject:Digital Signal Processing

Click to purchase paper or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!

This paper costs $20 for non-members, $5 for AES members and is free for E-Library subscribers.

Learn more about the AES E-Library

E-Library Location: (CD aes12)   /pp9193/pp9303/3589.pdf

Start a discussion about this paper!