Text to Speech App Project with Source code

Key Features:

1. Speech Recognition:
   1. Utilize the Android SpeechRecognizer class for capturing spoken input.
   2. Implement asynchronous processing to avoid blocking the main thread.
   3. Provide real-time feedback on recognized speech.
2. Text Processing:
   1. Process the recognized text, enabling features like language translation or sentiment analysis.
   2. Display the processed information in the app’s user interface.
3. Text-to-Speech (TTS):
   1. Integrate the Android TextToSpeech class for converting processed text into synthesized speech.
   2. Allow users to control TTS playback, including options for adjusting speed and pitch.
4. User Interface (UI):
   1. Design an intuitive and responsive UI with buttons or voice-triggered controls.
   2. Enable users to initiate speech recognition and TTS functionalities easily.
5. Error Handling and Optimization:
   1. Implement robust error handling for scenarios like failed speech recognition.
   2. Optimize the app for performance, considering resource usage and responsiveness.
6. Additional Features:
   1. Support multiple languages for both speech recognition and TTS.
   2. Explore cloud integration for enhanced speech recognition capabilities.
   3. Allow customization of settings such as speech rate and pitch.

Technology in Used :

1. Android XML : Page layout has been designed in Android XML
2. Android : This project has been developed over the Android Platform
3. Java : All the coding has been written in Java
4. SQLite : inbuilt database
5. Android Studio : We have used Android Studio for developing the project