Lie_Detector

Lie Detection by voice and heart rate using Android Device and Microsoft Band 2.

Project Struture

python/LD:

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Python code for machine learning

collect-speaker-heartrate-data.py:

python script for collecting audio and heartrate data from phone's microphone and microsoft band 2

audioFeatureExtraction.py

From python library pyAudioAnalysis for audio feature extraction

utilities.py

From python library pyAudioAnalysis for audio feature extraction

features.py

python script for audio feature extraction from raw audio data, expected 8000 sample rate

lie_detection_train.py

Cross Validation on Decision Tree Classifier with max depth 4 on collected data.

CRF_all.py

Running SVMs from PyStruct on collected data.

CRF_train.py

Cross Validation and Grid Search on structed learning model from PyStruct.

train_decision_tree.py

Cross Validation Grid Search on decision tree from sklearn and export best model in pickel to python/LD/training_output.

train_logistic_regression.py

Corss Validation and Grid Search on logistic regression from sklearn

lie_detection.py

Recieves data from server. Gets best model from pickle in python/LD/training_output, runs feature extraction and classification.

Collected Data:

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python/LD/data

Unlabelled data from data collection sessions. File name format is type_of_data-speaker-number

python/LD/labelled-data

Labelled data from python/LD/data data. 0 - lie, 1 - truth.