A new intrusive method, combined of several independent objective metrics, has been developed for the evaluation of the quality of acoustic noise suppression in mobile communications. Extensive subjective data, including simulations of several noise suppression solutions in various noise environments, was gathered to serve as the benchmark for the metrics. Partial least-square regression and full cross-validation were used to establish the applicability of 26 metrics, that were making use of different measurement procedures, to predict the perceived quality. A Phase IV, vector-based preference model, was optimized to predict quality with a correlation of 0.95, resulting in an average prediction error of 8 %. Different measurement procedures appeared to contribute with a similar extent to the prediction ability of the optimized model.

Authors: Salmela, Juha; Mattila, Ville-Veikko
Affiliation: Nokia Research Center, Audio-Visual Systems laboratory, Tampere, Finland
AES Convention: 116 (May 2004) Paper Number: 6145
Publication Date: May 1, 2004 Import into BibTeX
Subject: Psychoacoustics, Perception, and Listening Tests
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=12628

Click to purchase paper as a non-member 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 $33 for non-members and is free for AES members and E-Library subscribers.

Learn more about the AES E-Library

E-Library Location: (CD 116Papers)   /116/6145.pdf

Start a discussion about this paper!