Finish

Because Speech Processing is an interdisciplinary area, it’s possible that you already know something about one part of it – perhaps you have already done some phonetics, or have a strong mathematical background, or are a good programmer.

To help you navigate, the course material is divided as follows:

PHON – phonetics and phonology
SIGNALS – signal processing, with a focus on speech signals
TTS – text-to-speech synthesis
ASR – automatic speech recognition
SKILLS – maths, computing, writing

The SKILLS content is a collection of essential skills that you need to master, in order to complete this course and to continue working in this area afterwards. You may want to check out our preparation guides, especially if you haven’t done any maths for a while or are new to programming.

We’ll eventually use the Linux command line to do the TTS and ASR assignments. If you’ve not used this before, and want to make a start on learning, we recommend you do the exercises in the LinkedIn Learning course “Learning Linux Command Line” (free with your University login). This course also gives some instructions on setting up a linux-style environment on different operating systems (e.g. MacOs, Windows).

All students are strongly recommended to study all the materials, even if you think you know it already. Many of you will come in with more linguistics (particularly phonetics) knowledge, whereas some of you will have more of computer science background. Our experience tells us that sharing your knowledge with other students is an effective strategy for improving your own learning, so we strongly encourage you to talk to your classmates!