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Add info to support project
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README.md

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@@ -24,7 +24,7 @@ Multilingual Automatic Speech Recognition with word-level timestamps and confide
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* [Accurate Whisper transcription](#accurate-whisper-transcription)
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* [Running Voice Activity Detection (VAD) before sending to Whisper](#running-voice-activity-detection-vad-before-sending-to-whisper)
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* [Detecting disfluencies](#detecting-disfluencies)
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* [Acknowledgment](#acknowledgment)
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* [Acknowledgment/Support](#acknowledgment-support)
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* [Citations](#citations)
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## Description
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```
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**Important:** Note that when using these options, possible disfluencies will appear in the transcription as a special "`[*]`" word.
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## Acknowledgment
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## Acknowledgment/Support
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whisper-timestamped was coded mainly by [Jérôme Louradour](https://www.linkedin.com/in/jeronymous).
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It is based on the following libraries:
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* [whisper](https://github.com/openai/whisper): Whisper speech recognition (License MIT).
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* [dtw-python](https://pypi.org/project/dtw-python): Dynamic Time Warping (License GPL v3).
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Please consider supporting the development of this library by buying me a coffee:
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<a href="https://buymeacoffee.com/jeronymous" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/default-orange.png" alt="Buy Me A Coffee" height="41" width="174"></a>
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## Citations
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If you use this in your research, please cite the repo:
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