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@msghik msghik commented Aug 2, 2025

This pull request introduces a new normalization rule for Persian text in the normalize_text function and adds a comment in the prepare.sh script regarding the release file handling. Below is a breakdown of the most important changes:

Text Normalization Enhancements:

  • egs/commonvoice/ASR/local/preprocess_commonvoice.py: Added a new normalization rule for Persian (fa) text. This includes replacing Arabic characters with their Persian equivalents, removing unwanted characters, collapsing multiple spaces into one, and stripping leading/trailing spaces.

Script Comments Update:

  • egs/commonvoice/ASR/prepare.sh: Added a comment suggesting either changing the release name or manually downloading and moving the file to the download folder for better clarity and handling.

Summary by CodeRabbit

  • New Features
    • Improved Persian text normalization by handling specific character replacements and cleaning for Persian language data.
  • Documentation
    • Added a comment to clarify options for handling the release file in the setup script.

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coderabbitai bot commented Aug 2, 2025

Walkthrough

A new Persian-specific text normalization branch was added to the normalize_text function in the Common Voice ASR preprocessing script, handling unique Persian character replacements and filtering. Additionally, a clarifying comment was appended to the release variable definition in the dataset preparation shell script. No changes were made to function signatures or control flow.

Changes

Cohort / File(s) Change Summary
Persian Text Normalization
egs/commonvoice/ASR/local/preprocess_commonvoice.py
Added a new branch in normalize_text for Persian ("fa") that performs character replacements and regex filtering for Persian script, numerals, and whitespace.
Preparation Script Comment
egs/commonvoice/ASR/prepare.sh
Appended a comment to the release variable definition, advising on changing the release name or manual download.

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~7 minutes

Poem

A hop and a skip in the Persian script,
With yehs and kafs now neatly equipped.
A comment appears, a gentle nudge—
For download paths, don’t let them budge!
In fields of code, these tweaks delight,
As rabbits review by the soft moonlight.
🐇✨

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Actionable comments posted: 0

🧹 Nitpick comments (1)
egs/commonvoice/ASR/prepare.sh (1)

45-45: Fix typo in comment and improve clarity.

The comment contains a typo and could be more specific about when manual intervention is needed.

-release=cv-corpus-12.0-2022-12-07 ## -> consider changing relaese name or download the file manually and move it to download folder.
+release=cv-corpus-12.0-2022-12-07 ## -> consider changing release name or download the file manually and move it to download folder.

Consider making the comment more specific about the circumstances requiring manual intervention:

-release=cv-corpus-12.0-2022-12-07 ## -> consider changing relaese name or download the file manually and move it to download folder.
+release=cv-corpus-12.0-2022-12-07 ## -> update release name as needed, or download manually if automatic download fails
📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 34fc1fd and c053b7c.

📒 Files selected for processing (2)
  • egs/commonvoice/ASR/local/preprocess_commonvoice.py (1 hunks)
  • egs/commonvoice/ASR/prepare.sh (1 hunks)
⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (60)
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🔇 Additional comments (1)
egs/commonvoice/ASR/local/preprocess_commonvoice.py (1)

55-59: LGTM! Well-implemented Persian text normalization.

The Persian text normalization logic is correctly implemented:

  • Character replacements (Arabic yeh/kaf → Persian yeh/kaf) are linguistically accurate
  • Unicode range filtering appropriately includes Arabic block (\u0600-\u06FF) and both Latin (0-9) and Persian digits (\u06F0-\u06F9)
  • Punctuation removal and whitespace normalization are appropriate for ASR preprocessing
  • Correctly omits case conversion since Persian doesn't have uppercase/lowercase distinction

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