Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 7 of 7 for “"Acoustic Event Detection"”.
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Non-speech Acoustic Event Detection Using Multimodal Information
Non-speech acoustic event detection (AED) aims to recognize events that are relevant to human activities associated with audio information. Much previous research has been focused on restricted highlight events, and highly relied on ad-hoc detectors for these events. This thesis focuses on using …
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Advanced Deep Learning Models for Acoustic Event Detection in Prestressed Concrete Bridge Monitoring
L'abstract è presente nell'allegato / the abstract is in the attachment
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Acoustic event, spoken keyword and emotional outburst detection
… thesis presents work in research topics of audio detection. It first describes a system for large-scale multi-label acoustic event detection (AED) in YouTube videos. It explores the potential of the state-of-the-art deep learning classifiers for AED, describes both qualitative and quantitative …
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A theory of (almost) zero resource speech recognition
… the speech data required to learn good acoustic models; and 2) acquire adequate text to estimate meaningful language models. A theory of unsupervised and semi-supervised techniques for speech recognition is therefore essential. This thesis focuses on HMM-based sequence clustering and …
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Spatial aspects of auditory salience
… in position might activate the deviance detection mechanism and therefore be salient. In addition, an experiment comparing three of the methods used reveals at least twodimensions of salience, which are measured by different methods to different extent. This emphasises the importance of …
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Saliency in audio and visual signals
… framework, we propose a novel image saliency detection algorithm and compare its performance with existing algorithms. This framework is also successfully applied to image sequences to detect foreground in dynamic scenes. Besides foreground detection, we also propose two new applications of …
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Modeling audio and visual cues for real-world event detection
Audio-visual event detection aims to identify semantically defined events that reveal human activities. Most previous literature focused on restricted highlight events, and depended on highly ad-hoc detectors for these events. This research emphasizes generalizable robust modeling of …