JignaSC's starred repositories
Multimodal-Emotion-Recognition
A real time Multimodal Emotion Recognition web app for text, sound and video inputs
nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
100DaysOfMLCode
This repository contains all the required resources regarding the 100+ Days Of ML Code Telgram Group which was driven by me from 1-1-2019 to 31-12-2019 !!
Question-Generation
Generating multiple choice questions from text using Machine Learning.
Facial_keypoints_detection
CVND Facial Keypoint Detection
P1_Facial_Keypoints
First project for CVND: facial keypoint detection.
CVND_Exercises
Exercise notebooks for CVND.
dlaicourse
Notebooks for learning deep learning
audio-data-augmentation
Audio data augmentation examples
Emotion-Recognition-from-Speech
A machine learning application for emotion recognition from speech
speech-emotion-recognition
Detecting emotions using MFCC features of human speech using Deep Learning
Voice-Emotion-Detector
Voice Emotion Detector that detects emotion from audio speech using one dimensional CNNs (convolutional neural networks) using keras and tensorflow on Jupyter Notebook.
multimodal-speech-emotion
TensorFlow implementation of "Multimodal Speech Emotion Recognition using Audio and Text," IEEE SLT-18
speech-emotion-recognition
Speaker independent emotion recognition
Bagging-With-Strong-Learners-for-Emotion-Recognition-from-Speech
Research project (July 2018- Sept 2018) Remote internship under Dr.Rajiv Ratn Shah, Assistant Professor, IIITD.
Emotion-Recognition-in-Hindi-Speech
Classifying utterances in Hindi speech in one of the 8 emotional states (anger, fear, disgust, neutral, sad, happy, surprise, sarcastic) in spoken speech in Hindi
SpeechEmoRec
Speech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching
emotion-recognition-using-speech
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
IEMOCAP-Emotion-Detection
Multi-modal Emotion detection from IEMOCAP on Speech, Text, Motion-Capture Data using Neural Nets.
emotion-classification-from-audio-files
Understanding emotions from audio files using neural networks and multiple datasets.
Speech-Emotion-Analyzer
The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
speech-emotion-recognition
speech emotion recognition using a convolutional recurrent networks based on IEMOCAP