Voice Translator Overview Objective Build a real-time voice translator using Python, AssemblyAI (speech-to-text API), and Eleven Labs (text-to-speech API) that supports translations among at least 10 languages, including Tamil, Kannada, Hindi, Telugu, Marathi, French, English, German, Spanish, and Japanese.

Project Features Speech Recognition: Convert spoken input to text using AssemblyAI's API.

Translation: Translate the recognized text into a target language using a translation API (Google Translate API or any other suitable library).

Text-to-Speech (TTS): Convert the translated text back into speech using Eleven Labs TTS API.

Multilingual Support: Support multiple source and target languages, allowing users to select the desired languages dynamically.

User Interface (Optional): Build a simple command-line interface or GUI to make the translator more user-friendly.

System Architecture Input:

The system captures audio from the microphone (using pyaudio or speech_recognition library). Audio data is sent to AssemblyAI for transcription. Processing:

The transcribed text is sent to a translation API. The translated text is sent to Eleven Labs TTS for audio output. Output:

The generated speech is played back using a speaker or saved as an audio file. Technologies & APIs Python Libraries:

speech_recognition: Captures and processes audio input. requests: Sends API requests to AssemblyAI, translation API, and Eleven Labs. playsound or pydub: Plays the translated audio output. APIs:

AssemblyAI: Converts speech input to text (speech-to-text). Google Translate API: Translates the text into the target language. Eleven Labs: Converts translated text to speech (text-to-speech).