End-to-End Speech Recognition and Translation System

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About Course

  • Tech Stack: Python (TensorFlow, Hugging Face), Flask, NLTK, Google Cloud Speech-to-Text, AWS (Lambda, S3, Translate), Docker
  • Objective: Build an AI-powered system that can recognize spoken language, convert it into text, and translate it into another language in real time. The system will utilize pre-trained speech recognition models and transformers for translation.
  • Skills Needed: Speech-to-text (Google Cloud API), natural language processing (Transformers), cloud-based APIs, containerization (Docker), serverless computing (AWS Lambda).

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