Developed Speaker Diarization, Speech Sentiment Analysis and Object Character Recognition
- Getting Started
- Prerequisites
- Installation
- Angular Installation
- Dataset
- Screenshots
For Speaker Diarization, Package used :
- pyAudioAnalysis - A Python library for audio feature extraction, classification, segmentation and applications.
For OCR, package used:
- Tesseract - Tesseract is an optical character recognition engine for various operating systems.
- Dependencies for OCR
$ pip install Flask flask-restful SpeechRecognition opencv-python pytesseract
$ pip install -U textblob
- Dependencies for pyAudioAnalysis
$ pip install numpy matplotlib scipy sklearn hmmlearn simplejson eyed3 pydub
- Clone the source of this library:
$ git clone https://github.com/mishranilesh012/Natural_Language_Processing_Techniques.git
- Installing Angular CLI version 6
$ npm install -g @angular/cli@6
- Run within angular directory Natural_Language_Processing_Techniques\Angular\NLP $
$ npm install
- Running Angular
$ npm start
- Open browser on
http://localhost: 4200
Tested Dataset