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Classical methods for audio and speech enhancement are often based on error-driven optimization strategies, such as the mean-square error minimization. However, these approaches do not always satisfy the quality requirements demanded by users of the system. In order to meet subjective specifications, we put forward the idea of a user-driven approach to audio enhancement through the inclusion in the optimization stage of an interactive evolutionary algorithm (IEA). In this way, performance of the system can be adapted to any user in a principled and systematic way, thus reflecting the desired subjective quality. Experiments in the context of echo cancellation support the proposed methodology, showing significant statistical advantage of the proposed framework with respect to classical approaches.
Author (s): Comminiello, Danilo; Scardapane, Simone; Scarpiniti, Michele; Uncini, Aurelio
Affiliation:
Sapienza University of Rome, Rome, Italy
(See document for exact affiliation information.)
AES Convention: 134
Paper Number:8823
Publication Date:
2013-05-06
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Session subject:
Audio Signal Processing
Permalink: https://aes2.org/publications/elibrary-page/?id=16724
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Comminiello, Danilo; Scardapane, Simone; Scarpiniti, Michele; Uncini, Aurelio; 2013; User-Driven Quality Enhancement for Audio Signal Processing [PDF]; Sapienza University of Rome, Rome, Italy; Paper 8823; Available from: https://aes2.org/publications/elibrary-page/?id=16724
Comminiello, Danilo; Scardapane, Simone; Scarpiniti, Michele; Uncini, Aurelio; User-Driven Quality Enhancement for Audio Signal Processing [PDF]; Sapienza University of Rome, Rome, Italy; Paper 8823; 2013 Available: https://aes2.org/publications/elibrary-page/?id=16724
@article{comminiello2013user-driven,
author={comminiello danilo and scardapane simone and scarpiniti michele and uncini aurelio},
journal={journal of the audio engineering society},
title={user-driven quality enhancement for audio signal processing},
year={2013},
number={8823},
month={may},}