Essays about: "Audio signals"
Showing result 21 - 25 of 67 essays containing the words Audio signals.
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21. 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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22. Implementation and Evaluation of Encoder Tools for Multi-Channel Audio
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : The increasing interest for immersive experiences in areas such as augmented and virtual reality makes high quality 3D sound more important than ever before. A technique for capturing and rendering 3D audio which has received more attention during the last twenty years are Higher Order Ambisonics (HOA). READ MORE
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23. Truck Connectivity Platform Using Software Defined Radios
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Hardware updates and feature updates of electronic equipment can take a long time for market implementations. Technology tends to become obsolete by the time the update is launched into the market. READ MORE
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24. Development of real time audio equalizer application using MATLAB App Designer
University essay from Uppsala universitet/Signaler och SystemAbstract : This paper outlines the design of a high-precision graphic audio equalizer with digital filters in parallel, along with its implementation in MATLAB App Designer. The equalizer is comprised of 31 bands separated with a one-third octave frequency ratio, and its frequency response is controlled by 63 filters. READ MORE
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25. Audio representation for environmental sound classification using convolutional neural networks
University essay from Lunds universitet/Matematik LTHAbstract : A convolutional neural network (CNN) training framework is described and implemented. The framework is used to train and evaluate an audio classification system, focused on evaluating differences in audio representation. The dataset used is ESC-50, containing 50 different classes of audio. READ MORE