Sentiment Analysis of Speech Using PyDub and SpeechRecognition in Python

Sentiment Analysis of Speech Using PyDub and SpeechRecognition in Python

Read and explore audio with Pydub and recognize with SpeechRecognition

The ability of a machine or program to identify spoken words and transcribe them to readable text is called speech recognition (speech-to-text). In this tutorial, I will be walking you through analyzing speech data and converting them to a useful text for sentiment analysis using Pydub and SpeechRecognition library in Python.

Sentiment analysis is the use of natural language to classify the opinion of people. It helps to classify words (written or spoken) into positive, negative, or neutral depending on the use case. The sentiment analyzed can help identify the pattern of a product; it helps to know what the users are saying and take the necessary steps to mitigate any problems.

Table of Contents

  • Prerequisites
  • Installations
  • Exploratory Data Analysis
  • Speech to text
  • Sentiment Analysis of Text
  • Possible improvement

Prerequisites

In order to understand this tutorial, you will need basic knowledge of Python programming and the fundamentals of natural language processing. Below are two great courses for those less familiar with these processes.

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