MAI 570: Speech Recognition and Understanding

This course on Speech Recognition and Understanding bridges the gap between human language and machine processing, providing students with a comprehensive overview of the technologies that enable machines to recognize, interpret, and respond to human speech. Participants will explore the core algorithms and statistical models that power speech recognition systems, such as Hidden Markov Models (HMMs) and deep neural networks, alongside techniques for noise reduction, accent adaptation, and semantic analysis. Through practical exercises, students will learn to build and refine speech recognition models, implement natural language understanding (NLU) components, and develop applications capable of interacting with users through spoken language. Emphasizing current challenges and future directions in speech technology, this course prepares learners to innovate and lead in the rapidly evolving field of voice-enabled AI