Here you will find some practical exercises to help you understand the material in the courses.
Familiarisation
In these simple exercises, we get our hands on speech and other audio signals, and analyse them in various ways. We use the Wavesurfer and Praat tools.
The Festival text-to-speech system
Festival is a widely used research toolkit for Text-To-Speech. It is not perfect, and your goal is to discover various types of errors it makes, then understand why they occur.
Build your own digit recogniser
A simple but functional digit recogniser built from scratch: record and label data, train HMMs, create a language model, and recognise the test data. Extend to other speakers & digit sequences.
Dynamic Time Warping (DTW) in Python
Although it's not really used anymore, Dynamic Time Warping (DTW) is a nice introduction to the key concept of Dynamic Programming.
Build your own unit selection voice
Record your speech and build a unit selection voice for Festival. Create variations of the voice, add domain specific data, or vary the database size. Evaluate with a listening test.
Build your own DNN voice
This exercise assumes that you have already built your own unit selection voice, and therefore have all the data you need.
Signal Processing Courses in Crete
Special versions of the unit selection and DNN exercises for this summer school
Mini literature review
Just because research is published, doesn't mean it is perfect! That's the theme of this miniature literature review.
This is the new version. Still under construction.