shiventripathi / ee603-machine-learning-signal-processing

Audio tagging and event detection project completed in EE603

EE603-Machine-Learning-Signal-Processing

Model Codes

Model Codes can be found in the FinalModelCodes folder. To run the training and generate the same results, all the codecells can run in order, after creating a shortcut to our dataset in your drive and passing the path to the dataset.

1. CNN
2. RNN
3. DNN
4. Logistic Regression
5. Template Matching
6. GMM

Report

Project Report can be found Project Report.pdf

Weights

Weights can be found in the weights folder.

Dataset

Dataset can be found here and here.

Directory Structure

EE603-Machine-Learning-Signal-Processing
│   Decoding.ipynb
│   FeatureComparision.ipynb
│   LICENSE
│   Project Report.pdf
│   README.md
│
├───DatasetPipeline
│       DatasetGeneration_FINAL.ipynb
│       Generate_Test_Data.ipynb
│
├───FinalModelCodes
│       CNN_FINAL.ipynb
│       DNN_FINAL.ipynb
│       GMM_final.ipynb
│       LogReg_final.ipynb
│       RNN_FINAL.ipynb
│       TemplateMatching_final.ipynb
│
├───OldTestCodes
│       ClassifierOldMFCCVariant.ipynb
│       DatasetGeneration.ipynb
│       GMM.ipynb
│       LogReg.ipynb
│
└───weights
    │   gmm_weights.npy
    │   logRegWeights.zip
    │
    ├───CNN_FINAL_MFCC_CORRECT
    │   │   keras_metadata.pb
    │   │   saved_model.pb
    │   │
    │   └───variables
    │           variables.data-00000-of-00001
    │           variables.index
    │
    ├───DNN_FINAL_MFCC_CORRECT
    │   │   keras_metadata.pb
    │   │   saved_model.pb
    │   │
    │   └───variables
    │           variables.data-00000-of-00001
    │           variables.index
    │
    └───RNN_FINAL_MFCC_CORRECT
        │   keras_metadata.pb
        │   saved_model.pb
        │
        └───variables
                variables.data-00000-of-00001
                variables.index