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Showing 1 to 11 of 11 for “"sound classification"”.
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Formant and burst spectral measurements with quantitative error models for speech sound classification
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.
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AudioCNN: Audio Event Classification With Deep Learning Based Multi-Channel Fusion Networks
… there is growing interest in environmental sound classification with a plethora of real-world applications, especially in audio fields like speech and music. Recent research works have proven spectral images based on deep learning models for better performance than standard methods. This …
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Urban Sound and Environmental Monitoring using Distributed IoT Sensor Nodes
Urban sound and environmental monitoring are essential in urban planning, noise pollution control, and public safety. By collecting and analysing urban data, cities can make proper decisions to improve the quality of life for their residents. This research proposes a scalable, flexible, and …
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Neuromorphic audio processing through real-time embedded spiking neural networks.
… mechanisms of audio signal processing for sound classification, including Deep Learning techniques. Based on these studies, novel audio processing and automatic audio signal recognition systems are proposed, using a bio-inspired auditory sensor as input. A desktop software tool called NAVIS …
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Classification of Auscultation Sounds Using a Smart System
… is limited to the operator ability. Lung sound classification and using a digital stethoscope can be used to provide an immediate diagnostic for respiratory-related diseases. The International Conference on Biomedical and Health Informatics (ICBHI) created a sound data base in 2017 that is …
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Optimal feature selection and machine learning for high-level audio classification : a random forests approach
… metadata, and semantics can be extracted from soundtracks of multimedia files. Speech recognition, music information retrieval and environmental sound detection techniques have been developed into a fairly mature technology enabling a final text mining process to obtain semantics for the audio …
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Data-Centric Machine Learning for Speech and Audio
… how data valuation can be used for environmental sound classification. In the context of ecoacoustic monitoring of large data with limited labels, we estimate Shapley values of audio clips with overlapping sounds for a multi-label classifier. We demonstrate that these values identify high quality …
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Phylogeny of the wasp subfamily Metopiinae and patterns of speciation in the Exochus albiceps species-group
… metopiine wasps and creating a phylogenetically sound classification. The morphology-based phylogeny based on 101 terminal taxa (90 for the ingroup plus 11 outgroups) and 176 morphological characters, recovered Metopiinae as monophyletic, and sister to a clade formed by Tryphoninae, Mesochorinae, …
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Data-efficient approaches for audio classification and separation
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-03-01 without embargo terms
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Ψηφιακή επεξεργασία και αυτόματη κατηγοριοποίηση περιβαλλοντικών ήχων
Στο κεφάλαιο 1 παρουσιάζεται μία γενική επισκόπηση της αυτόματης αναγνώρισης γενικευμένων ακουστικών γεγονότων. Επιπλέον συζητάμε τις εφαρμογές της τεχνολογίας αναγνώρισης ακουστικού σήματος και δίνουμε μία σύντομη περιγραφή του state of the art. Τέλος, αναφέρουμε τη συνεισφορά της διατριβής. Στο …