Arpit Shah's repositories
Audio-Sentiment-Analysis
This repository consists of work done to analyse sentiment of a customer in a conversation with a call center agent using various machine learning algorithms and audio features.
Machine-Learning-for-Signal-Processing
This repository consists of work done in Machine Learning and Signal Processing. Machine Learning Stage consists of: * K-means * Expectation Maximization * Principal Component Analysis (PCA) * Mixture Models * Hidden Markov Models (HMM) * Graphical Models * Gibbs Sampling * Manifold Learning * Hashing Signal Processing Stage consists of : * Source Separation * Stereo Matching * Audio Processing * Fourier Transform * Brain Waves * Keyword Detection * Sentiment Analysis * Music Signal Processing * Image Segmentation
Speech-Denoising-using-DNN-CNN-and-RNN
This repository consists of application of Speech Denoising using DNN, CNN (1D and 2D) and RNN (LSTM) in tensorflow.
Latent-Dirichlet-allocation-LDA-on-YELP-dataset-using-Apache-Spark
This repository consists of comparison between two LDA algorithms (EM and Online) in Apache Spark 'mllib' library and also finding the best hyper parameters on YELP dataset.
Deep-Learning-Models
This repository consists of application of Deep Learning Models like DNN, CNN (1D and 2D), RNN (LSTM and GRU) and Variational Autoencoders written from scratch in tensorflow.
Advanced-Database-Concepts
Implemented several algorithms like Kmeans, Dijkstra's algorithm, graph is 3-colorable or not, even/odd length graph path, topological sort, Hamiltonian cycle, etc. in PostgreSQL.
MLSP_Audio
Source Separation and Sentiment Analysis