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
Publication Date:
March 1, 1993
Subject:
Digital Signal Processing
Click to purchase paper as a non-member or you can login as an AES member to see more options.
No AES members have commented on this paper yet.
To be notified of new comments on this paper you can subscribe to this RSS feed. Forum users should login to see additional options.
If you are not yet an AES member and have something important to say about this paper then we urge you to join the AES today and make your voice heard. You can join online today by clicking here.