Essays about: "Audio Event classification"
Found 4 essays containing the words Audio Event classification.
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1. Gunshot Detection from Audio Streams in Portable Devices
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Machine learning and artificial neural networks can be used to classify or detect specific sound events in audio signals. Gunshot detection is one use case for such networks and can be used to help law enforcement by alerting officers or triggering camera recordings. READ MORE
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2. Real-time Audio Classification onan Edge Device : Using YAMNet and TensorFlow Lite
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : Edge computing is the idea of moving computations away from the cloud andinstead perform them at the edge of the network. The benefits of edge computing arereduced latency, increased integrity, and less strain on networks. Edge AI is the practiceof deploying machine learning algorithms to perform computations on the edge. READ MORE
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3. Adaptive content-based sound compression
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : Three different classification solutions for distinguishing events from non-events in surveillance audio are described and evaluated. The three compared methods are energy functions, Gaussian mixture modelling algorithms (GMM) and existing voice activity detectors (VAD). READ MORE
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4. Game engine based auralization of airborne sound insulation
University essay from Umeå universitet/Institutionen för fysikAbstract : Describing planned acoustic design by single number ratings yields a weak link to the subjective event, especially when the single number ratings are interpreted by others than experienced acousticians. When developing infrastructure, tools for decision making needs to address visual and aural perception. READ MORE