The provided Python code demonstrates a real-time speech-to-text translation system using the SpeechRecognition and Googletrans libraries. The purpose of this code is to convert spoken language into written text and then translate it into the desired target language.
The code consists of two main functions:
- speech_to_text(): This function utilizes the SpeechRecognition library to capture audio input from the default microphone. It then attempts to convert the speech to text using the Google Web Speech API. If successful, the recognized text is printed to the console. If there is an issue with speech recognition (e.g., when the input speech is not clear or recognizable), appropriate error messages are displayed.
- translate_text(text, target_language='ta'): In this function, the Googletrans library is used to translate the input text into the target language. By default, the target language is set to Tamil ('ta'), but you can specify any other language code as needed. The translated text is printed to the console, and it is also returned for further use.
The code demonstrates a practical implementation of real-time speech recognition and translation, which could have various applications, such as language learning, multilingual communication, and voice-controlled systems.
Note: Ensure that you have the required dependencies, such as SpeechRecognition and Googletrans, installed in your Python environment to run the code successfully.
Python 7239 Version:3.10.0 License: Permissive (BSD-3-Clause)
Python 3408 Version:1.2 License: Permissive (MIT)
Python 116 Version:v2.0.6 License: Permissive (MIT)