The original title is "Build an AI Audio Translator in Python on Telnyx Inference"

Short summary

This tutorial demonstrates building a multilingual speech-to-speech translator in Python, combining transcription, LLM translation, and speech generation via Telnyx APIs. The modular workflow—input audio → transcribe → translate → generate speech—suits customer support, education, accessibility, and voice agent use cases. Full code example and repo are provided, letting you adapt each step independently without rewriting the whole application.

• •Combines speech-to-text, LLM translation, and text-to-speech in one modular Python app
• •Useful for customer support, education, accessibility, and multilingual voice interfaces
• •Full code example in repo; each step can be debugged or replaced independently

Generated with AI, which can make mistakes.