716: Final project, assignment 2 due by Friday 12/06/19, 11:59PM

What you have done already (HW due 11/22/19)

In your Dropbox directories in our shared directory:

  1. Determined f0 ranges for individual speakers for your language and written to a spreadsheet file
  2. Run VoiceSauce analyses in Matlab on all of your language files
  3. Checked over VoiceSauce measurements for reasonableness, e.g., formant values ranges, f0 ranges, and made notes about this
  4. Written the measurements extracted from VoiceSauce using output to text in Matlab to a textfile, with 9 sub-segments per text grid interval
  5. Read the VoiceSauce output measurements text file into R successfully and produced some plots of different measurements in R notebook

Next up: creak space parameters (class time review today)

  1. Review: UChicago presentation
  2. Recall Garellek etc. proposal of relevant parameters for creak space
  3. Two issues:
    1. What parameters discriminate between the "creaky tone" category and the "non-creaky tone" category?
    2. What parameters crop up within the "creaky tone" category as delineating "types" of creak?

Next up: FDA analysis (due by 11:59PM, 12/06/19)

Already has been implemented previously by me, see fda/ directories in your language directories. But now you do it!

  1. You will need to "port" the Snw file I wrote into a new R notebook
  2. You'll need to modify the code for your own data files
  3. You'll need to comment the code to demonstrate your understanding of what's going on in the code
  4. You'll need to write up your notes on what's going on in terms of our issue about discriminating between the creaky tone and non-creaky tone category in the R notebook.
  5. Warning: random forests take a long time to run. If this is a problem for your machine, ignore for now.

What's due: completed R notebook, and html file output: I should be able to open your R notebook in RStudio from your Dropbox folder and just run it with no problem. You will present your findings in class on Tuesday 12/10/19.

Coming up

  1. On Thursday 12/05, we will discuss:
    1. Methods for analyzing the FDA data, including clustering
    2. How to address our second issue about sub-types of creak
    3. GAMMs
    4. Homework due
  2. We will also begin to divy up paper writing (remember, paper is due 12/20!)