音不逮而文不至

usage: whisper-ctranslate2 [-h]
                           [--model {tiny,tiny.en,base,base.en,small,small.en,medium,medium.en,large-v1,large-v2}]
                           [--model_dir MODEL_DIR] [--output_dir OUTPUT_DIR]
                           [--output_format {txt,vtt,srt,tsv,json,all}] [--verbose VERBOSE]
                           [--task {transcribe,translate}]
                           [--language {af,am,ar,as,az,ba,be,bg,bn,bo,br,bs,ca,cs,cy,da,de,el,en,es,et,eu,fa,fi,fo,fr,gl,gu,ha,haw,he,hi,hr,ht,hu,hy,id,is,it,ja,jw,ka,kk,km,kn,ko,la,lb,ln,lo,lt,lv,mg,mi,mk,ml,mn,mr,ms,mt,my,ne,nl,nn,no,oc,pa,pl,ps,pt,ro,ru,sa,sd,si,sk,sl,sn,so,sq,sr,su,sv,sw,ta,te,tg,th,tk,tl,tr,tt,uk,ur,uz,vi,yi,yo,zh,Afrikaans,Albanian,Amharic,Arabic,Armenian,Assamese,Azerbaijani,Bashkir,Basque,Belarusian,Bengali,Bosnian,Breton,Bulgarian,Burmese,Castilian,Catalan,Chinese,Croatian,Czech,Danish,Dutch,English,Estonian,Faroese,Finnish,Flemish,French,Galician,Georgian,German,Greek,Gujarati,Haitian,Haitian Creole,Hausa,Hawaiian,Hebrew,Hindi,Hungarian,Icelandic,Indonesian,Italian,Japanese,Javanese,Kannada,Kazakh,Khmer,Korean,Lao,Latin,Latvian,Letzeburgesch,Lingala,Lithuanian,Luxembourgish,Macedonian,Malagasy,Malay,Malayalam,Maltese,Maori,Marathi,Moldavian,Moldovan,Mongolian,Myanmar,Nepali,Norwegian,Nynorsk,Occitan,Panjabi,Pashto,Persian,Polish,Portuguese,Punjabi,Pushto,Romanian,Russian,Sanskrit,Serbian,Shona,Sindhi,Sinhala,Sinhalese,Slovak,Slovenian,Somali,Spanish,Sundanese,Swahili,Swedish,Tagalog,Tajik,Tamil,Tatar,Telugu,Thai,Tibetan,Turkish,Turkmen,Ukrainian,Urdu,Uzbek,Valencian,Vietnamese,Welsh,Yiddish,Yoruba}]
                           [--threads THREADS] [--temperature TEMPERATURE]
                           [--temperature_increment_on_fallback TEMPERATURE_INCREMENT_ON_FALLBACK] [--best_of BEST_OF]
                           [--beam_size BEAM_SIZE] [--patience PATIENCE] [--length_penalty LENGTH_PENALTY]
                           [--suppress_tokens SUPPRESS_TOKENS] [--initial_prompt INITIAL_PROMPT]
                           [--condition_on_previous_text CONDITION_ON_PREVIOUS_TEXT]
                           [--compression_ratio_threshold COMPRESSION_RATIO_THRESHOLD]
                           [--logprob_threshold LOGPROB_THRESHOLD] [--no_speech_threshold NO_SPEECH_THRESHOLD]
                           [--word_timestamps WORD_TIMESTAMPS] [--prepend_punctuations PREPEND_PUNCTUATIONS]
                           [--append_punctuations APPEND_PUNCTUATIONS] [--device DEVICE] [--vad_filter VAD_FILTER]
                           [--vad_min_silence_duration_ms VAD_MIN_SILENCE_DURATION_MS]
                           [--device_index [DEVICE_INDEX ...]]
                           [--compute_type {default,auto,int8,int8_float16,int16,float16,float32}]
                           [--model_directory MODEL_DIRECTORY] [--print_colors PRINT_COLORS]
                           audio [audio ...]

positional arguments:
  audio                 audio file(s) to transcribe

options:
  -h, --help            show this help message and exit
  --model {tiny,tiny.en,base,base.en,small,small.en,medium,medium.en,large-v1,large-v2}
                        name of the Whisper model to use (default: small)
  --model_dir MODEL_DIR
                        the path to save model files; uses ~/.cache/whisper-ctranslate2 by default (default: None)
  --output_dir OUTPUT_DIR, -o OUTPUT_DIR
                        directory to save the outputs (default: .)
  --output_format {txt,vtt,srt,tsv,json,all}, -f {txt,vtt,srt,tsv,json,all}
                        format of the output file; if not specified, all available formats will be produced (default:
                        all)
  --verbose VERBOSE     whether to print out the progress and debug messages (default: True)
  --task {transcribe,translate}
                        whether to perform X->X speech recognition ('transcribe') or X->English translation
                        ('translate') (default: transcribe)
  --language {af,am,ar,as,az,ba,be,bg,bn,bo,br,bs,ca,cs,cy,da,de,el,en,es,et,eu,fa,fi,fo,fr,gl,gu,ha,haw,he,hi,hr,ht,hu,hy,id,is,it,ja,jw,ka,kk,km,kn,ko,la,lb,ln,lo,lt,lv,mg,mi,mk,ml,mn,mr,ms,mt,my,ne,nl,nn,no,oc,pa,pl,ps,pt,ro,ru,sa,sd,si,sk,sl,sn,so,sq,sr,su,sv,sw,ta,te,tg,th,tk,tl,tr,tt,uk,ur,uz,vi,yi,yo,zh,Afrikaans,Albanian,Amharic,Arabic,Armenian,Assamese,Azerbaijani,Bashkir,Basque,Belarusian,Bengali,Bosnian,Breton,Bulgarian,Burmese,Castilian,Catalan,Chinese,Croatian,Czech,Danish,Dutch,English,Estonian,Faroese,Finnish,Flemish,French,Galician,Georgian,German,Greek,Gujarati,Haitian,Haitian Creole,Hausa,Hawaiian,Hebrew,Hindi,Hungarian,Icelandic,Indonesian,Italian,Japanese,Javanese,Kannada,Kazakh,Khmer,Korean,Lao,Latin,Latvian,Letzeburgesch,Lingala,Lithuanian,Luxembourgish,Macedonian,Malagasy,Malay,Malayalam,Maltese,Maori,Marathi,Moldavian,Moldovan,Mongolian,Myanmar,Nepali,Norwegian,Nynorsk,Occitan,Panjabi,Pashto,Persian,Polish,Portuguese,Punjabi,Pushto,Romanian,Russian,Sanskrit,Serbian,Shona,Sindhi,Sinhala,Sinhalese,Slovak,Slovenian,Somali,Spanish,Sundanese,Swahili,Swedish,Tagalog,Tajik,Tamil,Tatar,Telugu,Thai,Tibetan,Turkish,Turkmen,Ukrainian,Urdu,Uzbek,Valencian,Vietnamese,Welsh,Yiddish,Yoruba}
                        language spoken in the audio, specify None to perform language detection (default: None)
  --threads THREADS     number of threads used for CPU inference (default: 0)
  --temperature TEMPERATURE
                        temperature to use for sampling (default: 0)
  --temperature_increment_on_fallback TEMPERATURE_INCREMENT_ON_FALLBACK
                        temperature to increase when falling back when the decoding fails to meet either of the
                        thresholds below (default: 0.2)
  --best_of BEST_OF     number of candidates when sampling with non-zero temperature (default: 5)
  --beam_size BEAM_SIZE
                        number of beams in beam search, only applicable when temperature is zero (default: 5)
  --patience PATIENCE   optional patience value to use in beam decoding, as in https://arxiv.org/abs/2204.05424, the
                        default (1.0) is equivalent to conventional beam search (default: 1.0)
  --length_penalty LENGTH_PENALTY
                        optional token length penalty coefficient (alpha) as in https://arxiv.org/abs/1609.08144, uses
                        simple length normalization by default (default: 1.0)
  --suppress_tokens SUPPRESS_TOKENS
                        comma-separated list of token ids to suppress during sampling; '-1' will suppress most special
                        characters except common punctuations (default: -1)
  --initial_prompt INITIAL_PROMPT
                        optional text to provide as a prompt for the first window. (default: None)
  --condition_on_previous_text CONDITION_ON_PREVIOUS_TEXT
                        if True, provide the previous output of the model as a prompt for the next window; disabling
                        may make the text inconsistent across windows, but the model becomes less prone to getting
                        stuck in a failure loop (default: True)
  --compression_ratio_threshold COMPRESSION_RATIO_THRESHOLD
                        if the gzip compression ratio is higher than this value, treat the decoding as failed
                        (default: 2.4)
  --logprob_threshold LOGPROB_THRESHOLD
                        if the average log probability is lower than this value, treat the decoding as failed
                        (default: -1.0)
  --no_speech_threshold NO_SPEECH_THRESHOLD
                        if the probability of the <|nospeech|> token is higher than this value AND the decoding has
                        failed due to `logprob_threshold`, consider the segment as silence (default: 0.6)
  --word_timestamps WORD_TIMESTAMPS
                        (experimental) extract word-level timestamps and refine the results based on them (default:
                        False)
  --prepend_punctuations PREPEND_PUNCTUATIONS
                        if word_timestamps is True, merge these punctuation symbols with the next word (default:
                        "'“¿([{-)
  --append_punctuations APPEND_PUNCTUATIONS
                        if word_timestamps is True, merge these punctuation symbols with the previous word (default:
                        "'.。,，!！?？:：”)]}、)
  --device DEVICE       device to use for CTranslate2 inference (default: auto)
  --vad_filter VAD_FILTER
                        Enable the voice activity detection (VAD) to filter out parts of the audio without speech.
                        This step is using the Silero VAD model https://github.com/snakers4/silero-vad. (default:
                        False)
  --vad_min_silence_duration_ms VAD_MIN_SILENCE_DURATION_MS
                        When `vad_filter` is enabled, audio segments without speech for at least this number of
                        milliseconds will be ignored. (default: 2000)
  --device_index [DEVICE_INDEX ...]
                        Device IDs where to place this model on (default: 0)
  --compute_type {default,auto,int8,int8_float16,int16,float16,float32}
                        Type of quantization to use (see https://opennmt.net/CTranslate2/quantization.html) (default:
                        auto)
  --model_directory MODEL_DIRECTORY
                        Directory where to find a CTranslate Whisper model (e.g. fine-tuned model) (default: None)
  --print_colors PRINT_COLORS
                        Print the transcribed text using an experimental color coding strategy to highlight words with
                        high or low confidence (default: False)