This model is a version of
openai/whisper-large-v3-turbo finedtuned with
transcriptions of Welsh language spontaneous speech
Banc Trawsgrifiadau Bangor (btb)
ac well as recordings of read speach from
Welsh Common Voice version 18 (cv)
for additional training.
The Whisper large-v3-turbo pre-trained model is a finetuned version of a pruned Whisper large-v3. In other words, this model is the
same model as
techiaith/whisper-large-v3-ft-btb-cv-cy,
except that the number of decoding layers have been reduced. As a result, the model is way faster, at the expense
of a minor quality degradation.
It achieves the following results on the
Banc Trawsgrifiadau Bangor'r test setAs such this model is suitable for faster verbatim transcribing of spontaneous or unplanned speech.
1from transformers import pipeline
2
3transcriber = pipeline("automatic-speech-recognition", model="techiaith/whisper-large-v3-turbo-ft-btb-cv-cy")
4result = transcriber(<path or url to soundfile>)
5print (result)
