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Check Pronunciation of Speech in Python

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by Abdul Rawoof A R dot icon Updated: Mar 8, 2023

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To recognize the speech in Python, Pyaudio is used. It can be installed using the pip install Pyaudio command and SpeechRecognition, and this package can be installed by using pip install SpeechRecognition. 


Speech Recognition is a machine's ability to listen to spoken words and identify them. We can then use speech recognition in Python to convert the user spoken words into text and make a query or give a reply to the user. We can even program some devices to respond to these spoken words, and we can check our pronunciation with the help of the Google speech recognition engine or simply by recording and playing back our speech. The tool shows the confidence level of recognition and the closest variants of the user's spoken sentences. We also used this module, pyttsx3, which is a text-to-speech conversion library in Python. Unlike alternative libraries, it works offline and is compatible or capable with both Python 2 and 3, and an application invokes the pyttsx3. init() factory function to get a reference to a pyttsx3. 


Here is an example of how to check the pronunciation of speech 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, PyAudio libraries and pyttsx3 libraries.

How can I check pronunciation of speech?

PythondotLines of Code : 58dotLicense : Strong Copyleft (CC BY-SA 4.0)

Dependent Libraries : 
import pyttsx3

import speech_recognition as sr

engine = pyttsx3.init("sapi5")

voices = engine.getProperty("voices")

engine.setProperty("voice", voices[1].id)


def speak(audio):
    
    engine.say(audio)
    
    engine.runAndWait()


def takeCommand():
    
    listener = sr.Recognizer()
    
    with sr.Microphone() as source:
        
        print("Listening.......")
        
        listener.pause_threshold = 1
        
        listener.energy_threshold = 400  # This will listen to the louder voice only, so all you need to do is to speak loudly to give the command.
        
        audio = listener.listen(source, timeout=1, phrase_time_limit=10)  # It will give you ten seconds to give the argument otherwise it will run again
        
        try:
            
            print(" Recognising.....")
            
            query = listener.recognize_google(audio, language="en-in")  # Here you can choose the language of your choice
            
            print(f" User said --> {query} \n")
            
        except Exception as e:
            
            # print(e)
            
            print("Sorry I didn't Recognise. Please say it again.....")
            
            return "None"
        
        return query

if __name__ == '__main__':
    
    speak("Hello boss, How're you?")
    
    while True:
        
        takeCommand()

Instructions

Follow the steps carefully to get the output easily.

  1. Install SpeechRecognition, PyAudio and pyttsx3 on your IDE(Any of your favorite IDE).
  2. Open terminal and install the above mentioned libraries using the command given in 3, 4 & 5steps.
  3. Speech Recognition - pip install SpeechRecognition.
  4. PyAudio - pip install PyAudio.
  5. pyttsx3 - pip install pyttsx3.
  6. Copy the snippet using the 'copy' and paste it in your IDE.
  7. 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 'How can I check pronunciation of speech' 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.
  5. pyttsx3 version-2.90.


Using this solution, we are able to check the pronunciation of speech in 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 check the pronunciation of speech in python.

Dependent Libraries

speech_recognitionby Uberi

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.

Support
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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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                                          pyttsx3by nateshmbhat

                                          Python doticonstar image 1571 doticonVersion:v.2.90doticon
                                          License: Weak Copyleft (MPL-2.0)

                                          Offline Text To Speech synthesis for python

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                                                    pyttsx3by nateshmbhat

                                                    Python doticon star image 1571 doticonVersion:v.2.90doticon License: Weak Copyleft (MPL-2.0)

                                                    Offline Text To Speech synthesis for python
                                                    Support
                                                      Quality
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                                                            Reuse

                                                              You can also search for any dependent libraries on kandi like 'SpeechRecognition', 'PyAudio' and 'pyttsx3'.

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