Master cutting-edge SpeechLMs and build next-generation voice AI applications with end-to-end speech capabilities
Sub Category
- Other IT & Software
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Objectives
- 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.
Pre Requisites
- 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).
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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