SPEECH RECOGNITION: PROGRAMMING ASSIGNMENTS
This page contains pointers to the programming assignments used in this course. Submitting your solutions for grading involves the following:

• submit a URL that summarizes the outputs requested by these experiments, along with reasonable documentation showing your code and plots of the output;
  
  
• this URL should also contain a pointer to your code for each project assigned.
  
  

I will grade your projects based on the clarity of your documentation.

Number	Exercise(s)	Description	Due Date
01	IFC Programming	Learn to use the foundation classes to do basic signal processing.	01/17/00
02	Linear Prediction	Learn how to compute a parametric spectral model of a speech signal.	02/14/00
03	Principal Component Analysis	Classify data using a variety of statistical normalization techniques.	02/21/00
04	Mel Frequency-Spaced Cepstral Coefficients	Investigate the statistical properties of typical features used in speech recognition.	04/01/00
05	Digit Recognition	Investigate high performance speech recognition on a small vocabulary task.	04/08/00
06	Letter Recognition	Even small vocabulary tasks can prove to be quite challenging when words are acoustically similar. recognition.	04/15/00
04	Language Modeling	Use the SRI Language Modeling toolkit to train a trigram language model on the Switchboard transcriptions.	04/22/00
08	The Big Enchilada	Train and evaluate a context-dependent phone Switchboard speech recognition system.	04/29/00