Sunit Sivasankaran's repositories
rir_simulator_python
Room impulse response simulator using python
EnvironmentalSoundClassification
Here, an algorithm to classify environmental sounds with the aim of providing contextual information to devices such as hearing aids for optimum performance is proposed. We use signal sub-band energy to construct signal-dependent dictionary and matching pursuit algorithms to obtain a sparse representation of a signal. The coefficients of the sparse vector are used as weights to compute weighted features. These features, along with mel frequency cepstral coefficients (MFCC), are used as feature vectors for classification. Experimental results show that the proposed method gives an accuracy as high as 95.6 %, while classifying 14 categories of environmental sound using a Gaussian mixture model (GMM). For more details, please refer to [1].
Reverberated_WSJ_2MIX
Code to simulate a reverberated, noisy version of the WSJ-2MIX dataset
Unvoiced_Sound_Classification
Classification of unvoiced speech phones. Uses MATLAB.
Kaldi_with_theano
Code revolving around Kaldi.
AsSteroid
Audio Source Separation on steroids
draw.io.files
Place to put all my xml files to recreate draw io drawings
drawio
Source to www.draw.io
EEGwithRaspberryPI
Open-Source board for converting RaspberryPI to Brain-computer interface
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
sunits.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes