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Post-grad speech, audio processing & recognition coursework - Hidden Markov Model invesigations. Achieved 98%
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Jupyter Notebook 98.5%
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dependabot[bot] 5c189d7901
Bump pillow from 8.0.1 to 9.0.0 
Bumps [pillow](https://github.com/python-pillow/Pillow) from 8.0.1 to 9.0.0.
- [Release notes](https://github.com/python-pillow/Pillow/releases)
- [Changelog](https://github.com/python-pillow/Pillow/blob/main/CHANGES.rst)
- [Commits](https://github.com/python-pillow/Pillow/compare/8.0.1...9.0.0)

---
updated-dependencies:
- dependency-name: pillow
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
2022-01-13 03:31:12 +00:00
.vscode report outline, added state transitions to constants 2020-12-10 22:59:55 +00:00
report submitted 2021-01-05 11:10:29 +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 submitted 2021-01-05 11:10:29 +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 submitted 2021-01-05 11:10:29 +00:00
README.md added a bit to report, bit of notebook formatting 2021-01-03 21:14:25 +00:00
requirements.txt Bump pillow from 8.0.1 to 9.0.0 2022-01-13 03:31:12 +00:00
scratchpad.ipynb submitted 2021-01-05 11:10:29 +00:00

README.md

Hidden Markov Models

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

PDFs with observations marked Probability density functions with provided observations marked

Occupation likelihoods Occupation likelihoods for each state through time

Training iterations Output Gaussian functions through 5 iterations of Baum-Welch training