whisper.cpp/examples/main/README.md

# main

This is the main example demonstrating most of the functionality of the Whisper model.
It can be used as a reference for using the `whisper.cpp` library in other projects.

```
./main -h

usage: ./main [options] file0.wav file1.wav ...

options:
  -h,        --help              [default] show this help message and exit
  -t N,      --threads N         [4      ] number of threads to use during computation
  -p N,      --processors N      [1      ] number of processors to use during computation
  -ot N,     --offset-t N        [0      ] time offset in milliseconds
  -on N,     --offset-n N        [0      ] segment index offset
  -d  N,     --duration N        [0      ] duration of audio to process in milliseconds
  -mc N,     --max-context N     [-1     ] maximum number of text context tokens to store
  -ml N,     --max-len N         [0      ] maximum segment length in characters
  -bo N,     --best-of N         [5      ] number of best candidates to keep
  -bs N,     --beam-size N       [-1     ] beam size for beam search
  -wt N,     --word-thold N      [0.01   ] word timestamp probability threshold
  -et N,     --entropy-thold N   [2.40   ] entropy threshold for decoder fail
  -lpt N,    --logprob-thold N   [-1.00  ] log probability threshold for decoder fail
  -su,       --speed-up          [false  ] speed up audio by x2 (reduced accuracy)
  -tr,       --translate         [false  ] translate from source language to english
  -di,       --diarize           [false  ] stereo audio diarization
  -nf,       --no-fallback       [false  ] do not use temperature fallback while decoding
  -otxt,     --output-txt        [false  ] output result in a text file
  -ovtt,     --output-vtt        [false  ] output result in a vtt file
  -osrt,     --output-srt        [false  ] output result in a srt file
  -owts,     --output-words      [false  ] output script for generating karaoke video
  -ocsv,     --output-csv        [false  ] output result in a CSV file
  -of FNAME, --output-file FNAME [       ] output file path (without file extension)
  -ps,       --print-special     [false  ] print special tokens
  -pc,       --print-colors      [false  ] print colors
  -pp,       --print-progress    [false  ] print progress
  -nt,       --no-timestamps     [true   ] do not print timestamps
  -l LANG,   --language LANG     [en     ] spoken language ('auto' for auto-detect)
             --prompt PROMPT     [       ] initial prompt
  -m FNAME,  --model FNAME       [models/ggml-base.en.bin] model path
  -f FNAME,  --file FNAME        [       ] input WAV file path
```
Update README.md 2 years ago			`# main`

			`This is the main example demonstrating most of the functionality of the Whisper model.`
			It can be used as a reference for using the `whisper.cpp` library in other projects.

			```
			`./main -h`

examples : add "command" tool (#171) 2 years ago			`usage: ./main [options] file0.wav file1.wav ...`
Update README.md 2 years ago
examples : add "command" tool (#171) 2 years ago			`options:`
whisper : reduce memory usage during inference (#431) * ggml : add "scratch" buffer support * ggml : support for scratch ring-buffer * ggml : bug fix in ggml_repeat() * ggml : error on scratch buffer overflow * whisper : use scratch buffers during inference (base model only) * whisper : update memory usage for all models * whisper : fix encoder memory usage * whisper : use whisper_context functions instead of macros * whisper : fix FF + remove it from README * ggml : reuse ggml_new_i32 * ggml : refactor the scratch buffer storage * whisper : reorder scratch buffers in the decoder * main : add option to disable temp fallback * Update README.md 2 years ago			`-h, --help [default] show this help message and exit`
			`-t N, --threads N [4 ] number of threads to use during computation`
			`-p N, --processors N [1 ] number of processors to use during computation`
			`-ot N, --offset-t N [0 ] time offset in milliseconds`
			`-on N, --offset-n N [0 ] segment index offset`
			`-d N, --duration N [0 ] duration of audio to process in milliseconds`
			`-mc N, --max-context N [-1 ] maximum number of text context tokens to store`
			`-ml N, --max-len N [0 ] maximum segment length in characters`
			`-bo N, --best-of N [5 ] number of best candidates to keep`
			`-bs N, --beam-size N [-1 ] beam size for beam search`
			`-wt N, --word-thold N [0.01 ] word timestamp probability threshold`
			`-et N, --entropy-thold N [2.40 ] entropy threshold for decoder fail`
			`-lpt N, --logprob-thold N [-1.00 ] log probability threshold for decoder fail`
			`-su, --speed-up [false ] speed up audio by x2 (reduced accuracy)`
			`-tr, --translate [false ] translate from source language to english`
			`-di, --diarize [false ] stereo audio diarization`
			`-nf, --no-fallback [false ] do not use temperature fallback while decoding`
			`-otxt, --output-txt [false ] output result in a text file`
			`-ovtt, --output-vtt [false ] output result in a vtt file`
			`-osrt, --output-srt [false ] output result in a srt file`
			`-owts, --output-words [false ] output script for generating karaoke video`
			`-ocsv, --output-csv [false ] output result in a CSV file`
			`-of FNAME, --output-file FNAME [ ] output file path (without file extension)`
			`-ps, --print-special [false ] print special tokens`
			`-pc, --print-colors [false ] print colors`
			`-pp, --print-progress [false ] print progress`
			`-nt, --no-timestamps [true ] do not print timestamps`
			`-l LANG, --language LANG [en ] spoken language ('auto' for auto-detect)`
			`--prompt PROMPT [ ] initial prompt`
			`-m FNAME, --model FNAME [models/ggml-base.en.bin] model path`
			`-f FNAME, --file FNAME [ ] input WAV file path`
Update README.md 2 years ago			```