Free Udemy Course __ Mastering Voice AI : From ASR to Emotion AI to Voice Cloning

Master cutting-edge SpeechLMs and build next-generation voice AI applications with end-to-end speech capabilities

4.5 (1,204 students students enrolled) English
data-science Machine Learning
Mastering Voice AI : From ASR to Emotion AI to Voice Cloning

What You'll Learn

  • Develop end-to-end speech language models using Python and Transformer architectures.
  • Master audio feature extraction and tokenization for speech recognition and synthesis.
  • Build AI for emotion recognition and personalized speech with real-world applications.
  • Evaluate SpeechLMs with metrics like WER and explore ethical AI design practices.

Requirements

  • No prior speech AI experience required – beginner-friendly with hands-on guidance!
  • A computer with Python 3.7+, TensorFlow/PyTorch, and audio libraries (e.g., Librosa).
  • Basic Python programming (familiarity with loops, functions, and libraries like NumPy).

Who This Course is For

  • This course is for aspiring AI developers, data scientists, and tech enthusiasts eager to pioneer the future of voice AI with Speech Language Models.
  • Perfect for beginners with basic Python and ML skills, as well as intermediate learners aiming to build advanced applications like real-time speech recognition, emotion-aware voice assistants, and speech translation.
  • Unlock the power of end-to-end speech processing for cutting-edge careers in AI!

Your Instructor

Vinit Singh

AI Systems Architect - Generative AI Specialization

4.7 Instructor Rating

17 Reviews

1,204 Students

1 Course

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