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Kunal Dhawan's Projects

asr-system-for-hindi-language icon asr-system-for-hindi-language

The repository contains all the codes necessary for my project - Automatic Speech Recognition System in Hindi Language ( Project description is available at :- https://kunal-dhawan.weebly.com/asr-system-for-hindi-language-from-scratch.html) : It contains the code for the following systems - 1) Monophone-HMM system built using HTK toolkit , 2)Monophone-HMM system built using Kaldi toolkit, 3)Triphone-HMM system built using Kaldi toolkit and 4)DNN-HMM system built using Kaldi toolkit

essential_project_tools icon essential_project_tools

The aim of this repository is to consolidate materials for all essential tools that are used in the lifecycle of any (python) project. This includes links to amazing documentations/tutorials for each of the tools and also a dummy self project to demonstrate their use.

fairmot icon fairmot

A simple baseline for one-shot multi-object tracking

musical-instrument-detection icon musical-instrument-detection

A Digital Signal Processing course project aimed at building a system for effective musical instrument detection given a sound recording

nemo icon nemo

NeMo: a toolkit for conversational AI

person-follower icon person-follower

Developed a bot that could accurately follow a human in a given closed enclosure. Concepts used were: Image processing: to detect the human using a characteristic colour and to calculate the change in position of the subject and hence correspondingly calculate the next movement of the robot , PID (Proportional, Integral, Derivative): to minimize the error during motion of the bot and to ensure smooth motion even in case of sudden changes in subject’s location , ROS : to communicate between the python script which implemented image processing and the microcontroller(Arduino) which was responsible for bot motion .

pytorch-image-models icon pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

smartwheelchair icon smartwheelchair

Built with the aim of providing freedom of movement to any individual irrespective of any disability. The speed of the wheelchair is controlled by the normal force exerted by the person against it’s backrest which is measured by a force sensor placed there and the direction is controlled by angular motion of user’s head with respect to vertical measured by a gyrometer placed on a cap worn by the user.

wavernn icon wavernn

Pytorch implementation of Deepmind's WaveRNN model

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