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Update README.md

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@@ -64,6 +64,23 @@ result = pipe("audio.wav",
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  print(result["text"])
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  ```
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  ## Training and evaluation data
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  - `training` = google/fleurs['train+validation'] + openslr['train']
 
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  print(result["text"])
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  ```
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+ ## whisper.cpp
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+ ### 1. Transcode the input audio to 16kHz PCM
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+ ```shell
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+ ffmpeg -i audio.ogg -ar 16000 -ac 1 -c:a pcm_s16le output.wav
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+ ```
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+ ### 2. Transcribe with whisper.cpp
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+ ```shell
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+ ./main -m ggml-model.bin -f output.wav --print-colors --language km
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+ ```
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  ## Training and evaluation data
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  - `training` = google/fleurs['train+validation'] + openslr['train']