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@fablevision/word-timings
Advanced tools
Uses [Vosk](https://alphacephei.com/vosk/) to analyze audio files and generate word timings.
Uses Vosk to analyze audio files and generate word timings.
npx word-timings -c ./path/to/my-config.json
Uses a configuration file in the format:
{
"model": "path/to/model", // Path to the model you've downloaded and unzipped.
"cache": "path/to/.cachefile", // Optional, name a cache file to use instead of the default. This speeds up later runs.
"pretty": true, // Optional - if true, pretty prints the output
"outputs": [
{
"file": "path/to/output.json", // path for the output for this group of files
"globs": ["path/to/*.wav"] // globs of files to batch together into this output
}
]
}
Audio files must be mono PCM .wav files, and are suggested to run in 16khz (although higher sample rates seem to work okay).
Output will be a JSON dictionary of filenames (no path or extension) to arrays of time data.
{
"myfile": [[0.1, 0.3], 0.4, 0.5, 0.6, [0.8, 1.2]]
}
Time data is an array, where every element is either a tuple representing the start & end time of that word, or a number representing the end time of the word with the start time being the previous word's end time. All times are in seconds.
FAQs
Uses [Vosk](https://alphacephei.com/vosk/) to analyze audio files and generate word timings.
The npm package @fablevision/word-timings receives a total of 2 weekly downloads. As such, @fablevision/word-timings popularity was classified as not popular.
We found that @fablevision/word-timings demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 4 open source maintainers collaborating on the project.
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