m-bain/whisperX

Convert arabic numerals and symbols to phonetic form

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#38 建立於 2023年1月25日

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 (2 留言) (0 反應) (0 負責人)Python (6,880 star) (650 fork)batch import
help wanted

描述

Currently arabic numerals and symbols in whisper transcript cannot be aligned, needs to be phonetic alphabet.

Need to perform inverse of normalization in https://github.com/m-bain/whisperX/blob/main/whisperx/normalizers/english.py

Such that numbers and currencies are converted to their phonetic word form.

E.g. "$300" -> "three hundred dollars"

To perform wav2vec alignment.

Then convert back to symbol form, and assign timestamps.

貢獻者指南

技術棧
python
領域
machine learningbackend
議題類型
feature
難度面向新貢獻者的預計實作難度，1 表示很小改動，5 表示專家級工作。
3
預計時間有經驗貢獻者完成調查、實作、測試並準備 pull request 的粗略時間範圍。
1-2 days
活動狀態議題目前的可參與程度：新鮮、活躍、陳舊、阻塞或等待維護者輸入。
stale
清晰度議題是否清楚說明預期改動、驗收標準和下一步。
mostly clear
前置要求
familiarity with WhisperX codebaseunderstanding of text normalization
新手友善度1-100 的估計分數，表示該議題對首次貢獻者的友善程度。
35
研究方向
The issue requires implementing the inverse of the normalization function in whisperx/normalizers/english.py to convert numbers and currencies into their phonetic word form (e.g., $300 > 'three hundred dollars') for wav2vec alignment. After alignment, the phonetic form must be converted back to symbolic form and timestamps assigned. The existing normalization function should be studied to understand the transformations. No linked PRs or maintainer comments provide further direction.