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44 lines
2.6 KiB
44 lines
2.6 KiB
# main
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This is the main example demonstrating most of the functionality of the Whisper model.
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It can be used as a reference for using the `whisper.cpp` library in other projects.
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```
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./main -h
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usage: ./main [options] file0.wav file1.wav ...
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options:
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-h, --help [default] show this help message and exit
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-t N, --threads N [4 ] number of threads to use during computation
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-p N, --processors N [1 ] number of processors to use during computation
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-ot N, --offset-t N [0 ] time offset in milliseconds
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-on N, --offset-n N [0 ] segment index offset
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-d N, --duration N [0 ] duration of audio to process in milliseconds
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-mc N, --max-context N [-1 ] maximum number of text context tokens to store
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-ml N, --max-len N [0 ] maximum segment length in characters
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-bo N, --best-of N [5 ] number of best candidates to keep
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-bs N, --beam-size N [-1 ] beam size for beam search
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-wt N, --word-thold N [0.01 ] word timestamp probability threshold
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-et N, --entropy-thold N [2.40 ] entropy threshold for decoder fail
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-lpt N, --logprob-thold N [-1.00 ] log probability threshold for decoder fail
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-su, --speed-up [false ] speed up audio by x2 (reduced accuracy)
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-tr, --translate [false ] translate from source language to english
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-di, --diarize [false ] stereo audio diarization
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-nf, --no-fallback [false ] do not use temperature fallback while decoding
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-otxt, --output-txt [false ] output result in a text file
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-ovtt, --output-vtt [false ] output result in a vtt file
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-osrt, --output-srt [false ] output result in a srt file
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-owts, --output-words [false ] output script for generating karaoke video
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-ocsv, --output-csv [false ] output result in a CSV file
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-of FNAME, --output-file FNAME [ ] output file path (without file extension)
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-ps, --print-special [false ] print special tokens
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-pc, --print-colors [false ] print colors
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-pp, --print-progress [false ] print progress
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-nt, --no-timestamps [true ] do not print timestamps
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-l LANG, --language LANG [en ] spoken language ('auto' for auto-detect)
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--prompt PROMPT [ ] initial prompt
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-m FNAME, --model FNAME [models/ggml-base.en.bin] model path
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-f FNAME, --file FNAME [ ] input WAV file path
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```
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