sunits Goto Github PK

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

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].

kaldi_with_theano

Code revolving around Kaldi.

presentations

random

Tools used to simplify life

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reverberated_wsj_2mix

Code to simulate a reverberated, noisy version of the WSJ-2MIX dataset

rir_simulator_python

Room impulse response simulator using python

sunit_old.github.io

sunits.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

unvoiced_sound_classification

Classification of unvoiced speech phones. Uses MATLAB.