genzen2103/Abstractive-Summarization-using-Query-based-Deep-Neural-Attention-Models

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Python
Created almost 7 years ago
Updated almost 7 years ago

genzen2103/Abstractive-Summarization-using-Query-based-Deep-Neural-Attention-Models

genzen2103

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System for generating meaningful summaries of retrieved documents, specific to query text using Deep Attention Models

Speaker-Recognition-System-using-GMM

System for identifying speaker from given speech signal using MFCC,LPC features and Gaussian Mixture Models

Emotion-Detection-in-speech-using-Acoustic-and-Neural-Features

System for Emotion Detection in given speech data using joint modelling of hand crafted prosody rich features , MFCC features and LSTM based neural embedding

Multi-class-to-Binary-Reduction-of-cost-sensitive-classification

Reduction of Cost Sensitive MultiClass Classification to One to One Binary Classification

Deep-Siamese-Networks-with-Attention

This project explorers enhancements to traditional Siamese Architecture to achieve better accuracy by incorporating more semantic information. I have explored 3 enhancements :

Duplicate-Question-Detection-in-Community-QA

Duplicate Question Detection in Community QA using Deep Siamese Neural Networks : System for Identifying similar questions in a given Community Question Answering Corpus by leveraging semantic similarity between Question-Answer and Question-Question pairs using Deep Siamese Neural Networks.

WayOfWords

Attempts to apply NLP and Deep Learning Techniques to make sense of the Cosmere ( Brandon Sanderson's Amazing Universe )

Jupyter Notebook