How to Add Text to Speech GUI convertor using Tkinter in Python

Tkinter provides a fast and easy way to create GUI applications in Python. It helps achieve compelling choices for building GUI applications in Python. We can able to achieve compelling choices for building GUI applications in Python.

We can able to make a computer understand human languages in Python language. For that, here we have a library called 'Speech Recognition'(open source module), which is used to listen to spoken words and identify the user's voice. You can also feed some programs for some devices to respond to these spoken words. For example, we can feed some commands to a robot like switching off the fan, turning on the AC, etc. Speech Recognition allows our computer's microphone to recognize the speech. For that, we'll have to install a library called 'PyAudio' which is used to recognize our voice and as well to play the sound. It is mainly used for binding the audio and recording the voice of the users on a variety of platforms.

Google Speech-to-Text is a well-known speech transcription API for the speech recognition library and there is one more API called DeepSpeech which is an open-source embedded speech-to-text engine designed to run in real-time devices. Speech recognition is the most significant part of AI, where AI is nothing but has the ability to mimic human behavior and learn the environment from it. The use of the Tkinter library is to create Graphical User Interface(GUI) and it includes all standard distributions in python. It has a variety of methods like "pack(), grid(), and place()".

Here is an example of how you can add text to speech GUI converter using Tkinter 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 Tkinter 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 'integrate speech recognition and tkinter' 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 integrate speech recognition and tkinter 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 integrate speech recognition and tkinter.

Dependent Libraries

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

Support

1. For any support on kandi solution kits, please use the chat
2. For further learning resources, visit the Open Weaver Community learning page.