en_voice_id = ".voice.Alex"ĮtProperty('voice', en_voice_id) Final Step We are using setProperty method to define the spoken language. You will something like this in your terminal.Ĭopy the ‘id’ of the language that you want to use, and let’s paste it into our program. Print(" - Languages: %s" % voice.languages) To see the avilable languages, run the following code: voices = engine.getProperty('voices') ![]() As mentioned earlier, it has to match with the language we used in our text. Now, we have to define the language we want our machine to speak. In the following lines we are defining a variable to assign our speech engine. test = "Once upon a time, a person was trying to convert text to speech using python" Step 3 – Speech Engine Below, you can see the text variable I’ve created, it is called test. Your text can be something short or long, it depends on what you want. You should define a variable and assign a text value to it. ![]() And now let’s import the module as a library to our program. If you want to learn more about this module, here is the documentation. Here is the code to install this module: pip install pyttsx3 It is text to speech module, one good thing about this module, it can work offline after you install it. The only module we will use in this project is Pyttsx3. Step 1 - Libraryįirst, we will install the module so that we can use it in our program. The text can be in different languages, that’s when choosing our speech model, we have to make sure the languages are matching. We will be building a machine program that will convert our text to speech. This makes the development of the field much faster. Also teaching a machine is much easier than teaching a human being. Yes, artificial intelligence is becoming more and more part of our daily life. Using some training data from previous audio files, it is possible to make a machine read a book using a trained person’s voice. The last example of text to speech conversion, I would like to share with you is audiobooks. ![]() They have an accessibility feature called “Select to Speak”, you can select/ highlight the text and the computer will read it aloud to the person using this feature. Here is a nice video showing how text to speech is used in a classroom:Īnother nice example of text to speech usage is on Chromebooks. Instead of the teacher spending time with each kid, and reading for them, a simple text to speech can very helpful. Technology is used very often in classrooms these days, and some text to speech software can help the teachers a lot. One of them is in a classroom environment, students who don’t know how to read yet but can understand when you speak to them. There are a couple of industries that I will list that uses text to speech in a very nice way. This way of thinking helps me to learn new things faster and motivates me to use that information in my personal life. I ask the same question before learning almost anything, I will ask myself how will this information help me, and where can I use it in real life. If you are wondering where can we use text to speech conversion in real life, don’t worry you are not alone. This will be a simple machine learning project that we will understand some basics of speech library called pyttsx3. In this post, I will show you how to convert text to speech using Python.
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