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Media Content Emphasis Using Audio Effect Contrasts: Building Quantitative Models from Subjective Evaluations

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In this paper we study media content emphasis patterns of audio effects and construct their quantitative models using subjective evaluation experiments. The media content emphasis patterns are produced by contrasts between effect-sections and non-effect sections, which change the focus of audience attention. We investigate media emphasis patterns of typical audio effects including equalization, reverberation, dynamic range control, and chorus. We compile audio test samples by applying different settings of audio effects and their permutations. Then we construct quantitative models based on the audience rating of the ‚Äúsubjective significance‚ÄĚ of test audio segments. Statistical experiment design and analysis techniques are employed to establish the statistical significance of our proposed models.

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