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Speech Recognition Using Python | Edureka


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** Python Certification Training: **
This Edureka video on 'Speech Recognition in Python' will cover the concepts of speech recognition module in python with a program using speech recognition to translate speech into text. Following are the topics discussed:

How Speech Recognition Works?
How To Install SpeechRecognition In Python?
Working With Microphones
How To Install Pyaudio In Python?
Use case

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Speech Recognition Using Python | Edureka

  1. 1. Copyright © 2017, edureka and/or its affiliates. All rights reserved.
  2. 2. How It Works? Installing Speech Recognition In Python Working With Microphones Installing Pyaudio In Python Use Case
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  4. 4. Speech Text
  5. 5. Challenges Faced By Speech Recognition • Style Of Speaking • Task Specifiers • Environment • Speaker Characteristics
  6. 6. A little runback to history Radio Rex – frequency prototype Shoebox – Isolated Word Recognition HARPY – Connected Speech Deep Neural Network Based Systems
  7. 7. 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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  9. 9. $ pip install SpeechRecognition Recognizer class
  10. 10. 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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  12. 12. 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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  14. 14. Installing pyaudio works the same way as any other module in python. $ pip install PyAudio
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  16. 16. 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
  17. 17. Copyright © 2017, edureka and/or its affiliates. All rights reserved.
  18. 18.