spchlab - Speech Recognition Tutorials and Exercises

spchlab is a Repository of Jupyter Noteboobs for Speech Recognition Demos, Tutorials and Exercises.

Different topics are organized by folder (LABxx_name). Each of these is rather independent. It is not strictly necessary to follow the order of the labs, but a higher numbered lab is likely to build on knowledge and skills acquired in lower numbered lab sessions.

Each lab-folder contains:

• a README.md file with a general description of the folder contents and links to the tutorials, demos and exercises
• a number of tutorial notebooks <Name>.ipynb. Web versions of these can be viewed directly via github-pages. The tutorial notebooks were also used for the generation of many figures in the course notes.
• a number of exercises in text <Ex_name>.md or in notebook <Ex_name>.ipynb format

The Notebooks

For accessing the notebooks, follow the link to the correct LAB-folder.

• LAB00: Introduction
• LAB01: Speech and Audio
• LAB02: The Spectrogram
• LAB03: The Source Filter Model
• LAB04: Feature Extraction
• LAB05: Bayesian Classification
• LAB06: Frame Classification using GMMs and DNNs
• LAB07: Dynamic Time Warping
• LAB08: Hidden Markov Models

Tutorial Notebooks

The output of the tutorial notebooks may be found here