Lab 9 Audio Feature Extraction, Classification - meetsriharsha/RTBDA_5543 GitHub Wiki

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##Description:

In this lab assignment we extracted the audio features for the give input audio samples. These features were stored in a text file which can later be used for audio classification.

Output of Audio Feature Extraction:

Later, these extracted audio features were sent to the Spark machine learning logic. Here the input dataset was taken as training dataset and a model was built using decision tree algorithm. Later, we tested some sample audio features against this training dataset and the application was able to successfully classify the given test audio sample.

###Output of Audio Classification:

Later, the generated model was uploaded to the mongoDB using the API. This model can later be used in Storm part for audio recognition process.

Instance of mongoDB: