Pause concepts for audio segmentation at different semantic levels
Silvia Pfeiffer · 2001
This paper presents work on the determination of temporal audio segmentations at different semantic levels. The segmentation algorithm draws upon the calculation of relative silences or pauses. A perceptual loudness measure is the only feature employed. An adaptive threshold is used for classification into pause and non-pause. The segmentation algorithm that determines perceptually relevant pause intervals for different semantic levels incorporates a minimum duration and a maximum interruption constraint. The influence of the different parameters on the segmentation is examined in experiments and presented in this paper. A new approach for evaluating segmentation accuracies is required. It is shown that the simple perceptual pause concept has a very high relevance when segmenting audio at different semantic levels.