提示词库/任务指令/Addressing transcription misspellings: prompt vs post-processing
Addressing transcription misspellings: prompt vs post-processing
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# Addressing transcription misspellings: prompt vs post-processing
We are addressing the problem of enhancing the precision of transcriptions, particularly when it comes to company names and product references. Our solution involves a dual strategy that utilizes both the Whisper prompt parameter and GPT-4's post-processing capabilities.
Two approaches to correct inaccuracies are:
- We input a list of correct spellings directly into Whisper's prompt parameter to guide the initial transcription.
- We utilized GPT-4 to fix misspellings post transcription, again using the same list of correct spellings in the prompt.
These strategies aimed at ensuring precise transcription of unfamiliar proper nouns.
## Setup
To get started, let's:
- Import the OpenAI Python library (if you don't have it, you'll need to install it with ```pip install openai```)
- Download the audio file example