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784 - Spoken Language Processing

Credits: 
3
Class Description: 
This course introduces students to speech and spoken language processing with a focus on real-world applications including automatic speech recognition, speech synthesis, and spoken dialog systems, as well as tasks such as emotion detection and speaker identification. Students will learn the fundamentals of signal processing for speech and explore the theoretical foundations of how human speech can be processed by computers. Students will then collect data and use existing toolkits to build their own speech recognition or speech synthesis system. This course provides theoretical foundation as well as hands-on laboratory practice. ENGL 784 is a graduate-level counterpart to ENGL 584. Students enrolled under the graduate-level number will be required to complete additional course components.

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