Add MFCC Feature Extraction Algorithm (#9057)

[Muhammadummerr]

• Add MFCC feature extraction to machine learning

• Add standalone usage in comments

• Apply suggestions from code review

• Delete empty junk file (Delete empty junk file TheAlgorithms/Python#9062)

• updating DIRECTORY.md

• updating DIRECTORY.md

• Delete empty junk file

• updating DIRECTORY.md

• Fix ruff errors

• Fix more ruff errors

---

• [main] Fix typo due to auto review change

• Add doctests for all functions

• Add MFCC feature extraction to machine learning

• Add standalone usage in comments

• Apply suggestions from code review

• [main] Fix typo due to auto review change

• Add doctests for all functions

• [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

• Fix some pre-commit issues

• Update review issues

• Remove types from docstring

• Rename dct

• Add mfcc docstring

• Add typing to several functions

• Apply suggestions from code review

• Update mfcc.py

• get_filter_points() -> tuple[np.ndarray, np.ndarray]:

• algorithm

---

Describe your change:

• Add an algorithm?
• Fix a bug or typo in an existing algorithm?
• Documentation change?

Checklist:

• I have read CONTRIBUTING.md.
• This pull request is all my own work -- I have not plagiarized.
• I know that pull requests will not be merged if they fail the automated tests.
• This PR only changes one algorithm file. To ease review, please open separate PRs for separate algorithms.
• All new Python files are placed inside an existing directory.
• All filenames are in all lowercase characters with no spaces or dashes.
• All functions and variable names follow Python naming conventions.
• All function parameters and return values are annotated with Python type hints.
• All functions have doctests that pass the automated testing.
• All new algorithms include at least one URL that points to Wikipedia or another similar explanation.
• If this pull request resolves one or more open issues then the description above includes the issue number(s) with a closing keyword: "Fixes #ISSUE-NUMBER".