How to Perform Real-Time Speech Recognition in Python

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by Abdul Rawoof A R dot icon Updated: Feb 2, 2023

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Real-time speech recognition in Python refers to the ability of a computer program to transcribe spoken words into written text in real time. You can use a library like SpeechRecognition to recognize speech in real-time in Python. It supports several various engines and APIs, such as Microsoft Bing Voice Recognition and Google Speech Recognition. 


Real-time voice recognition in Python has a wide range of uses, including: 

  • Voice-controlled assistants: These virtual assistants, like Siri or Alexa, can be operated via voice commands. 
  • Speech-to-text transcription: This tool turns audible words into written text and is useful in professions including journalism, law, and medicine. 
  • Voice biometrics: This application uses a person's distinctive voice patterns to authenticate and identify them. 
  • Real-time language translation: This program helps people who speak various languages communicate more easily by translating spoken words from one language to another. 
  • Speech-based accessibility: Applications that assist people with disabilities, such as text-to-speech or speech-to-text for the visually impaired. 


Here is how you can recognize speech in real time in Python: 

Fig : Preview of the output that you will get on running this code from your IDE.

Code

In this solution we're using SpeechRecognition and PyAudio libraries.

Instructions

Follow the steps carefully to get the output easily.

  1. Install SpeechRecognition and PyAudio on your IDE(Any of your favorite IDE).
  2. Open terminal and install the above mentioned libraries using the command given in 3 & 4 steps.
  3. Speech Recognition - pip install SpeechRecognition.
  4. PyAudio - pip install PyAudio.
  5. Copy the snippet using the 'copy' and paste it in your IDE.
  6. Run the file to generate the output.


I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.


I found this code snippet by searching for 'Speech recognition using python' in kandi. You can try any such use case!

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

  1. The solution is created in PyCharm 2021.3.
  2. The solution is tested on Python 3.9.7.
  3. SpeechRecognition version-3.9.0.
  4. PyAudio version-0.2.13.


Using this solution, we are able to implement speech recognition using python with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to implement speech recognition using python.

Dependent Libraries

Python doticonstar image 7239 doticonVersion:3.10.0doticon
License: Permissive (BSD-3-Clause)

Speech recognition module for Python, supporting several engines and APIs, online and offline.

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            speech_recognitionby Uberi

            Python doticon star image 7239 doticonVersion:3.10.0doticon License: Permissive (BSD-3-Clause)

            Speech recognition module for Python, supporting several engines and APIs, online and offline.
            Support
              Quality
                Security
                  License
                    Reuse

                      pyaudioby sschaetz

                      Python doticonstar image 0 doticonVersion:Currentdoticon
                      License: Permissive (MIT)

                      PyAudio Fork

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                                pyaudioby sschaetz

                                Python doticon star image 0 doticonVersion:Currentdoticon License: Permissive (MIT)

                                PyAudio Fork
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                                      License
                                        Reuse

                                          You can also search for any dependent libraries on kandi like 'SpeechRecognition' and 'PyAudio'.

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