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upalatucci/MachineLearningLiveContest
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To use this project you need theese two additional libraries sounddevice==0.3.12 SoundFile==0.10.2 Theese are the principal scripts: live.py is the script to run the live. Takes two not mandatory argument. -w for the size of windows and -c to choose the configuration file training.py is the script to run the training of the model. record_and_save.py is the script to define the thread that record and save the audio recorded in a .wav file during the live. read_tfrecords.py is the script that have functions to extract data from the dataset and tfrecords file. prediction_csv.py is the script to run the prediction of all csv files of the test set. It takes two mandatory argument that are -r result file path and -t for the test set directory and one argument not mandatory that is the configuration file path. extract_audioset_embedding.py is the script that use all others file and the vggish_model to extract features from the audio file.
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