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activity-recognition-with-sensor-data

Human activity recognition using various LSTM RNNs on accelerometer and gyroscopic data recorded with a smartphone

adresschallenge

ami-cough-annotations

Annotations of cough events in the AMI corpus audio recordings

ami_cough_re-annotation

Re-annotation of cough events present in the AMI corpus.

audio-seg-data-synth

Artificially synthesising data for audio segmentation to improve music-speech detection

bert_text_classification

Use BERT to do classifications on long-text datasets.

cough-analysis

In pursuit of COVID-19 through cough analysis

cough-detection

Implements data-driven approaches for the detection of coughs in patients with respiratory illnesses.

cough-research-papers

Collection of research papers on cough classification

cough-signal-processing

Different methods and techniques for features extraction from audio

cough-sneeze--data-scrape

A script to scrape audio sound of coughs and sneezes files from https://annotator.freesound.org/fsd/

cough_classification

cough_detection

cough detection task

coughanalysis

coughcnn

Using LogMel Spectrograms to detect cough in audio samples using a CNN

coughdetection

ECE 284 Mobile Health Sensing - Group 5

covid_cough_test

Predicting if the user is COVID positive or negative based on audio sample of his cough. Accuracy is 89%

daic_woz

daic_woz_process

data-gen-keras

This repository is associated with the blog post on "Data Generators with Keras and Tensorflow on Google Colab"

deep-virtual-rapport-agent

Deep virtual rapport agent & Head gesture detector

deep_speaker-speaker_recognition_system

Keras implementation of ‘’Deep Speaker: an End-to-End Neural Speaker Embedding System‘’ (speaker recognition)

depaudionet

Reproduction of DepAudioNet by Ma et al (AVEC2016)

depaudionet_reproduction

Reproduction of DepAudioNet by Ma et al. {DepAudioNet: An Efficient Deep Model for Audio based Depression Classification,(https://dl.acm.org/doi/10.1145/2988257.2988267), AVEC 2016}

discoveryrnns

Discovery RNNs, explainable RNN saliency visualization, and its application to unsupervised segmentation of COVID-19 forced coughs

emotion_recognition_cnn

flusense-data

gaze_tracking

Gaze-Tracking based on head orientation and eye orientation

har-convolutional-neural-networks

CNNs and Stacked denoising autoencoders for human activity recognition using Keras

kdd2020-calibration

How to calibrate your neural network classifier: Getting accurate probabilities from a classification model