Audio segmentation is important as a pre-processing task to improve the performance of
many speech technology tasks and, therefore, it has an undoubted research interest. This …

This paper studies a novel audio segmentation-by-classification approach based on factor
analysis. The proposed technique compensates the within-class variability by using class …

This paper describes the audio segmentation system developed by the PRHLT research
group at the UPV for the Albayzin Audio Segmentation Evaluation 2012. The PRHLT-UPV …

This paper describes the development of a generated solution for classification and
segmentation of broadcast news audio. A sound stream is segmented by classifying each …

In this paper, a novel audio-visual scene change detection algorithm is presented and
evaluated experimentally. An enhanced set of eigen-audioframes is created that is related to …

Speech detection is an important first step for audio analysis on media contents, whose goal
is to discriminate the presence of speech from non-speech. It remains a challenge owing to …

Many sensors/meters are deployed in commercial buildings to monitor and optimize their
performance. However, because sensor metadata is inconsistent across buildings, software …

In this paper, we present the audio segmentation task from the Albayzín-2010 evaluation,
and the results obtained by the eight participants from Spanish and Portuguese universities …

The detection of the Acoustic Events (AEs) naturally produced in a meeting room may help
to describe the human and social activity. The automatic description of interactions between …

This paper proposes a novel audio segmentation-by-classification system based on Factor
Analysis (FA) with a channel compensation matrix for each class and scoring the fixed …