Speech recognizer helps us to save time by speaking instead of typing. It also gives us the power to communicate with our devices without even writing one line of code. This makes technological devices more accessible and easier to use. Speech recognition is a great example of using machine learning in real life.
It is a library for performing speech recognition, with support for several engines and APIs, online and offline.
SpeechRecognition engine/API support:
- CMU Sphinx (works offline)
- Google Speech Recognition
- Google Cloud Speech API
- Microsoft Bing Voice Recognition
- Houndify API
- IBM Speech to Text
pyttsx3 is a text-to-speech conversion library in Python. Unlike alternative libraries, it works offline, and is compatible with both Python 2 and 3. Works without internet connection or delay. Supports multiple TTS engines, including Sapi5, nsss, and espeak.
Install both the libraries with pip command in any terminal
pip install SpeechRecognition
pip install pyttsx3Import the SpeechRecognition and pyttsx3 libraries in the Python file that you are going to use for recognizing your voice commands in your console/application.
For example-
import speech_recognition as sr
import pyttsx3 
