Lau Cheuk Man's starred repositories
Sentiment-Analysis-Using-Flask
A Flask-based web application that leverages advanced Machine Learning techniques to analyze sentiment in text inputs or web articles. The app utilizes the Hugging Face's Transformers library, a pre-trained RoBERTa model, and provides intuitive results using radar charts.
Sentiment-Analysis-App
Unveil text emotions with SentimentSense, an advanced app using AI to analyze sentiments in text. Explore feelings in social media, reviews, articles, and messages, gaining insights into hidden emotions and opinions.
Sentiment-Analysis-Project
A project that harnesses the Stanford NLP library to gauge sentiment from provided text via an intuitive graphical interface.
sentiment-analysis-app
Predict the general feeling of a body of text using scikit-learn models.
Sentiment-Analysis_Django-WebApp
A web application built with Django that performs sentiment analysis on text data using a fine-tuned DistilBERT model.
sentiment_analysis
Sentiment analysis without using nltk library. It shows emotion conveyed through texts using a bar graph.
Speech-Processing
Apply Sentiment Analysis and Speaker Diarisation techniques on input speech
Transcription-of-audio-video-files-with-speakers-tone-analysis.
Taken audio/video files as input and converted to corresponding text files using Google API. Further, the text transcription is used for sentiment (tone) analysis of the speaker using yet another IBM Watson API. The software comes as a web application where in the user can upload the audio/video file to be converted and can download the transcribed file. Along with the transcription, the output file conveys information about the sentiment of the speaker at the sentence level of speech. The team aims at taking this project to a level where the application could live stream the audio/video files without any lag.
speech-box
Flask web app which provide speech to text, sentiment analysis and recording keyword extraction with mail aggregation
speech-to-senti-report
Python script to generate a PDF report based on sentiment analysis, words usage, personality insights, tone analysis and facial expressions from an input video. A project I got to do as an Intern.
202005-3-AI_Companion_Speech_Emotion_and_Context_Recognition
Emotional Context Chatbot with Audio-Visual Interfaces.
Speech-Emotion-Recognition-App
A real-time speech emotion recognition application using Scikit-learn and gradio
Real-Time-Speech-Emotion-Recognition
Code for the paper "Real Time Speech Emotion Recognition using Machine Learning"
Speech_Recognition_and_Emotion_Detection_in_English_and_German
Python project for Speech-to-Text and Sentiment Analysis. Supports English and German language!
Speech_Emotion_Recognition_AAE
Adversarial Auto-encoders for Speech Based Emotion Recogntion
sentiment-analysis-api
This is a machine learning based sentiment analysis web application using python's nltk library and deployed using flask api on Heroku server.
Audio_emotion_recognition
Emotion recognition using audio data
Emotion-Recognition_SER-FER_RAVDESS
Multi-modal Human Emotion Recognition of speech clips (audio + video) contained in RAVDESS dataset using a two stream architecture
Intel-oneAPI-Speech_Emotion_Recognition_using_NLP_Audio_Text
This application made with Intel oneAPI || oneAPI Deep Neural Network Library (oneDNN) Intel DevMesh
speech-emotion-recognition
Speaker independent emotion recognition
emotion-recognition-using-speech
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
hume-python-sdk
Python client for Hume AI APIs
emotion-classifier-web-app
Logistic regression, text emotion classifier web application (with Streamlit), from data preprocession to model productionizing and deployment on Streamlit share.
Emotion-detection-from-text-using-PyTorch-and-Federated-Learning
Emotion detection from text using PyTorch and Federated Learning
multimodal-speech-emotion-recognition
Lightweight and Interpretable ML Model for Speech Emotion Recognition and Ambiguity Resolution (trained on IEMOCAP dataset)
emocatcher
[RAVDESS] Speech Emotion Recognition with Convolutional Attention based Bi-GRU. (Best test accuracy of 87%)
Transformer-based-SER
Transformer-based model for Speech Emotion Recognition(SER) - implemented by Pytorch
TIM-Net_SER
[ICASSP 2023] Official Tensorflow implementation of "Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition".