LING-461 Topics in Computational Linguistics: Signal Processing
Fall for 2017-2018
Faculty:
How do things like Amazon Echo and Siri work? What kinds of linguistics went into them and how could they be made better? In order to explore these questions, this course will survey speech technology from a computational linguistic perspective. Both speech recognition, also known as speech-to-text (STT), and speech synthesis, also known as text-to-speech (TTS), will be investigated along with related technologies like speaker/dialect/accent/language identification. While communicating the basic algorithms employed by these technologies, the course will emphasize hands-on and project work to allow you to work with web-based and open source tools to build your own components, evaluate existing products and explore linguistic questions.
Students from a variety of backgrounds are encouraged to take this course. Helpful background includes: natural language processing, phonetics, phonology and sociolinguistics. While not required, helpful technical background includes familiarity with speech analysis software such as PRAAT, Linux, shell scripting and coding/scripting in languages like Python, Java, C++, etc.


Credits: 3
Prerequisites: None
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