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Detection of Rare Background Noise
Model enhancement determination of noise through automatic feature extraction
Demonstrate power of feature extraxtion algorithms.
Method
Automatic audio data analysis with different machine learning approaches
Benchmarking different frameworks for feature extraction
Validation of results via comparison with reference modeling
Benefit
Evaluation of the quality of labels
Knowledge building regarding freely available tools for standardized time series analysis
Recommendation on improvements for data collection
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