Post-grad speech, audio processing & recognition coursework - Hidden Markov Model invesigations. Achieved 98%
1911e1ad5a
Bumps [ipython](https://github.com/ipython/ipython) from 7.19.0 to 7.31.1. - [Release notes](https://github.com/ipython/ipython/releases) - [Commits](https://github.com/ipython/ipython/compare/7.19.0...7.31.1) --- updated-dependencies: - dependency-name: ipython dependency-type: direct:production ... Signed-off-by: dependabot[bot] <support@github.com> |
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.vscode | ||
report | ||
.gitignore | ||
constants.py | ||
markov.ipynb | ||
markov.py | ||
markovlog.py | ||
maths.py | ||
notebook.py | ||
README.md | ||
requirements.txt | ||
scratchpad.ipynb |
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