DNN based Speech Recognition and Sentiment Analysis Application (in production)

Overview

This application utilizes Deep Neural Networks (DNNs) for speech recognition and sentiment analysis. It integrates models for converting speech to text and performing sentiment analysis on movie reviews.

Features

• Speech Recognition:

  • Utilizes DNNs (CNN and bi directional LSTM) to transcribe speech into text.
  • Based on fine-tuning models using LibriSpeech dataset.

• Sentiment Analysis:

  • Applies ANN models to analyze sentiment in movie reviews.
  • Uses pre-trained models on IMDB movie review data for sentiment classification.

Requirements

• Python 3.11.5
• PyTorch
• NumPy
• Scikit-learn
• Other dependencies listed in requirements.txt (conda dependencies listed).

Setup Instructions

1. Clone Repository:

   git clone https://github.com/mainakm7/DNN_SpeechRecognition_with_SentimentAnalysis.git
   cd repository-name
   

2. Install dependencies Conda packages are currently added to requirements.txt.

This project is licensed under the MIT License.