m-bain/whisperX

Convert arabic numerals and symbols to phonetic form

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#38 创建于 2023年1月25日

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 (2 评论) (0 反应) (0 负责人)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.

贡献者指南

技术栈
python
领域
machine learningbackend
议题类型
feature
难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。
3
预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。
1-2 days
活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。
stale
清晰度议题是否清楚说明期望改动、验收标准和下一步。
mostly clear
前置要求
familiarity with WhisperX codebaseunderstanding of text normalization
新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。
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.
Convert arabic numerals and symbols to phonetic form · m-bain/whisperX#38 | Good First Issue