Idea Summary:
The user is experiencing unexpected results while using OpenAI's Whisper for transcribing voice messages. Specifically, the transcription of a long voice message included an unrelated sentence at the end, directing to the FEMA government website. The user is puzzled as the content of the voice message had no connection to government agencies.
Extracted Questions:
- Why is Whisper appending unrelated sentences to the transcription of voice messages?
- How can this issue be resolved or avoided?
Possible Answers:
Based on the information extracts provided, it's not entirely clear why this specific issue is occurring. However, there are a few possibilities:
- This could be an instance of what is referred to as "hallucination" in the AI field, where the model generates output that isn't grounded in the input data. This has been observed in some discussions about Whisper on GitHub (source (https://github.com/openai/whisper/discussions/293)).
- The issue might be related to the handling of long or silent segments in the audio. Whisper has been reported to sometimes struggle with long gaps of silence or background noise, and may repeat or generate unexpected output in these cases (source (https://github.com/openai/whisper/discussions/29)).
As for resolving or avoiding the issue, there are a few potential strategies:
- If the audio file contains long segments of silence or background noise, it might help to trim these parts before sending the file for transcription.
- If the issue persists, it could be beneficial to report it to OpenAI, providing them with the details and the problematic audio file for further investigation.
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