The aim of the project is to classify correctly 4680 audio files containing ambient sound registered from 15 different acoustic scenes. Acoustic scene classification is a foundamental task for environmental awareness used for example for devices, robots etc.
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The aim of the project is to classify correctly 4680 audio files containing ambient sound registered from 15 different acoustic scenes. Acoustic scene classification is a foundamental task for environmental awareness used for example for devices, robots etc.
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lucasammarini/Deep-Learning-Ambient-sound-classification
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The aim of the project is to classify correctly 4680 audio files containing ambient sound registered from 15 different acoustic scenes. Acoustic scene classification is a foundamental task for environmental awareness used for example for devices, robots etc.
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