tamuwhisper 0.1.4

A Utility to Initiate the Generation of Transcripts, Subtitles, and Closed Captions

tamuwhisper

Tool for initializing subtitle, caption, and transcript files and embedding metadata about the process according to FADGI Metadata Guidelines.

Requires

• Python ~3.9 - Python ~3.12
• ffmpeg

Running

tamuwhisper is designed to run as a cli program versus a directory of media files like:

tamuwhisper transcribe -d path/to/files -m turbo -c "Surname, Given name " -o path/to/where/to/write/vtts

Arguments

Usage: tamuwhisper transcribe [OPTIONS]

  Create VTTs with FADGI Embedded Metadata and Whisper JSON

Options:
  -d, --directory TEXT            The path to your media files
  -o, --output TEXT               The output directory to write your generated
                                  vtts and json to
  -m, --model [tiny|base|small|medium|large|turbo]
                                  Which Whisper model to use
  -l, --language TEXT             Specify language of media file
  -f, --fp16                      Use FP16 instead of FP32
  -i, --ignore-existing           Skip A/V files that already have a
                                  transcription
  -c, --creator TEXT              Name of person using the tool. Used for
                                  embedded metadata.
  --check_silence                 Run a check if files are silent first.
  -t, --temperature FLOAT         Controls randomness in text decoding. Lower
                                  values (e.g., 0.0) make output more
                                  deterministic and accurate; higher values
                                  (e.g., 1.0) increase diversity and may
                                  improve results on noisy or ambiguous audio.
  --help                          Show this message and exit.