Comments (3)
exPHAT
commented on May 27, 2024
Here's a very basic example I made for you. Drag in any of the prebuilt models and call it model.bin.
You can also drag in a prebuilt core ML model with the correct name (as described in the README) and it will use that.
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shyamalschandra
commented on May 27, 2024
Hi @exPHAT,
I finally got the code working but it is really slow with tiny.en.bin. Is this normal in Debug mode?
Also, is WhisperDelegate implemented fully because I want to update my ProgressBar with the progress of the speech recognition?
Thank you again!
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exPHAT
commented on May 27, 2024
Yes. Please read the README for info about speed boosts.
The delegate is fully implemented.
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Related Issues (20)
- memory free up issue HOT 1
- Confidence value for segment? HOT 3
- GPU vs CPU HOT 1
- Core ML Support HOT 2
- MLModelAsset: load failed with error HOT 2
- Are there plans to support more parameters in WhisperParams?
- Add support for word-level timestamps `--word_timestamps` HOT 3
- Is there a possibility to pause and resume transcription? HOT 2
- Running compiled C++ version of program is faster than using Library HOT 2
- Do you have more boilerplate code (examples) to show an example of some application where the speech recognition is working? HOT 6
- Missing required module 'whisper_cpp' when using the SwiftWhisper code. HOT 4
- Setting --max-len does not change the value of the results HOT 1
- watchOS support? HOT 7
- crash when initializing with an invalid model HOT 4
- thoughts on reading from microphone data? HOT 3
- Split segment to words HOT 1
- "loading Core ML model"Spend a lot of time
- large-v3 HOT 1
- Progress delegate is not working HOT 2
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