Build A Text To Speech Program Using Python

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In this article you will learn how to build your very own Text To Speech (TTS) program using the Python programming language !

If you prefer not to read this article and would like a video representation of it, you can check out the YouTube Video below. It goes through everything in this article with a little more detail, and will help make it easy for you to start developing your own program. Or you can use both as supplementary materials for learning !

Start Programming:

I will start by stating what I want this program to do. This program takes text from an online article and converts it to speech.

Next, import the libraries that we will need for this program.

Now that we have the libraries imported, we need to get the article from online.

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Download the article.

Parse the article.

Download the ‘punkt’ package. This should be a one time download.

Apply Natural Language Processing (NLP)

Create a variable called ‘mytext’ and store the articles text in it.

Choose the language for speech. Note ‘en’ stands for English. You can also use ‘pt-br’ for Portuguese and their are others as well.

Pass the text and language to the engine to convert the text to speech and store it in a variable called ‘myobj’. Mark slow as False to tell the module that the converted audio should have a high speed.

Save the converted audio as a .mp3 file named ‘read_article’.

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read_article.mp3 file

Play the converted audio on Windows, using the Windows command ‘start’ followed by the name of the mp3 file.

Conclusion and Resources

That is it, you are done creating your program to predict the price of bitcoin ! Thanks for reading this article I hope its helpful to you all ! If you enjoyed this article and found it helpful please leave some claps to show your appreciation. Keep up the learning, and if you like machine learning, mathematics, computer science, programming or algorithm analysis, please visit and subscribe to my YouTube channels (randerson112358 & compsci112358 ).

Again, if you want, you can watch and listen to me explain all of the code in my YouTube video.

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