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0.4.1

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predict.whisper_transcription to predict channel based on VAD (#65)

* add predict.whisper_transcription which allows to assign a transcription segment to either a left/right channel based on a Voice Activity Detection

* Add remote

0.4

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Allow to transcribe only sections of the audio (#57)

* add argument sections to predict.whisper

* code cleanup

* adding example of sections

* add extra data check on subset.wav such that offsets/durations are not outside of audio range

* VAD on mono

* Align the timestamps based on the removed audio segments again

* play around with 1 millisecond

* more examples on multiple-offsets

* add NEWS item, bump version

* unit test for multiple sections return the part where it has a voice instead of the non-voice and put thses skipped parts at the top

* CI

* put alignment timestamps of transcriptions with skipped segments in separate function

* add utils

* docs

* CI

* docs

* dev code for token_timestamps

* CI

* docs

* CI

* use format instead of timezone

* parse the timestamps with milliseconds

* make sure to parse out the milliseconds + test with token_timestamp

* rename sentences to voiced for later readability

* bump dependency version of data.table to when data.table contains nafill

* there is no guarantee on short segments that whisper.cpp adheres to the requested timeframe - it provides the whole segment - disable that unit test

* docs

* CI

* add segment_offset to keep track of within which offset the segment was part of

* add offset/duration as arguments in predict.whisper, include new column called segment_offset in output by default, make sure examples on stereo are run in language es

* increase duration to make sure we have a segment

* logs

* more liberal unit test

* more liberal unit test

0.3.3

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bump release to 0.3.3

0.3.2

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README bump to 0.3.2

0.3.1

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README

0.3

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Merge pull request #25 from bnosac/upgrade-v1.5.4

upgrade to whisper.cpp version v1.5.4

0.2.2

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NEWS

0.2.1-1

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#18 Change URL's to download from Huggingface, deprecate downloading …

…from ggerganov as some models are removed there

0.2.1

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README

0.2.0

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Don't need recent Rcpp