Essays about: "Environmental Sound Classification"
Showing result 1 - 5 of 7 essays containing the words Environmental Sound Classification.
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1. Compare Accuracy of Alternative Methods for Sound Classification on Environmental Sounds of Similar Characteristics
University essay from Stockholms universitet/Statistiska institutionenAbstract : Artificial neural networks have in the last decade been a vital tool in image recognition, signal processing and speech recognition. Because of these networks' ability to be highly flexible, they suit a vast amount of different data. This flexible attribute is very sought for within the field of environmental sound classification. READ MORE
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2. Laminated veneer lumber floor : An evaluation of performance
University essay from KTH/Bro- och stålbyggnadAbstract : The ongoing climate change has become a very discussed and accurate topic. A fifth of the Swedishemissions of greenhouse gases originate from buildings (Boverket, n.d). READ MORE
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3. An IoT Solution for Urban Noise Identification in Smart Cities : Noise Measurement and Classification
University essay from Linnéuniversitetet/Institutionen för fysik och elektroteknik (IFE)Abstract : Noise is defined as any undesired sound. Urban noise and its effect on citizens area significant environmental problem, and the increasing level of noise has become a critical problem in some cities. Fortunately, noise pollution can be mitigated by better planning of urban areas or controlled by administrative regulations. READ MORE
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4. 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
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5. Classifying Environmental Sounds with Image Networks
University essay from Blekinge Tekniska Högskola/Institutionen för datalogi och datorsystemteknikAbstract : Context. Environmental Sound Recognition, unlike Speech Recognition, is an area that is still in the developing stages with respect to using Deep Learning methods. Sound can be converted into images by extracting spectrograms and the like. READ MORE