The document provides a guide on installing and using speech recognition in Python, including working with microphones and various libraries such as SpeechRecognition and PyAudio. It discusses challenges in speech recognition like speaking style and environment, and lists methods available in the Recognizer class for recognizing speech. The document also includes an example use case for converting speech to text and executing actions based on that text.

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2. How It Works?
Installing Speech Recognition In Python
Working With Microphones
Installing Pyaudio In Python
Use Case
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Speech Text

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Challenges Faced By Speech Recognition
• Style Of Speaking
• Task Specifiers
• Environment
• Speaker Characteristics

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A little runback to history
Radio Rex – frequency prototype
Shoebox – Isolated Word Recognition
HARPY – Connected Speech
Deep Neural Network Based Systems

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Following are the packages which can be used for speech recognition in python.
apiai
assemblyai
Google-cloud-speech
SpeechRecognition
Pocketsphinx
Watson-developer-cloud
wit

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$ pip install SpeechRecognition
Recognizer class

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Recognizer class basically has instances which are used to recognize speech. Each instance has seven
methods to recognize speech from any audio source using various APIs.
recognize_bing( )
recognize_sphinx( )
recognize_wit( )
recognize_ibm( )
recognize_houndify( )
recognize_google_cloud( )
recognize_google( )

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To work with microphones we will have to install PyAudio package in python.
Microphone class
To record audio using the microphone
we will have a microphone class.

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Installing pyaudio works the same way as any other module in python.
$ pip install PyAudio

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We will make a program using the speech recognition python to execute the
following:
* Converting speech to text using speech recognition
* Using the text to open a URL using web browser
* Searching a query using speech inside the URL

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