sarsoo/markov-models

Go to file

aj afb259bd6d added a bit to report, bit of notebook formatting

2021-01-03 21:14:25 +00:00

report outline, added state transitions to constants

2020-12-10 22:59:55 +00:00

added a bit to report, bit of notebook formatting

2021-01-03 21:14:25 +00:00

.gitignore

finished code, beginning writeup

2020-12-31 19:30:39 +00:00

constants.py

beginning markov code

2020-12-11 21:33:20 +00:00

markov.ipynb

added a bit to report, bit of notebook formatting

2021-01-03 21:14:25 +00:00

markov.py

gathered resources, working on report

2021-01-01 18:53:11 +00:00

markovlog.py

finished code, beginning writeup

2020-12-31 19:30:39 +00:00

maths.py

beginning markov code

2020-12-11 21:33:20 +00:00

notebook.py

gathered resources, working on report

2021-01-01 18:53:11 +00:00

README.md

added a bit to report, bit of notebook formatting

2021-01-03 21:14:25 +00:00

requirements.txt

report outline, added state transitions to constants

2020-12-10 22:59:55 +00:00

scratchpad.ipynb

gathered resources, working on report

2021-01-01 18:53:11 +00:00

README.md

Hidden Markov Models

Speech recognition coursework focusing on training and analysing hidden markov models, main dev notebook here.

Probability density functions with provided observations marked

Occupation likelihoods for each state through time

Output Gaussian functions through 5 iterations of Baum-Welch training