metadata

license: apache-2.0
base_model: openai/whisper-large-v3
tags:
  - generated_from_trainer
  - verbatim
metrics:
  - wer
model-index:
  - name: whisper-large-v3-ft-btb-cv-cy
    results: []
datasets:
  - techiaith/banc-trawsgrifiadau-bangor
  - techiaith/commonvoice_18_0_cy
  - techiaith/commonvoice_vad_cy
  - cymen-arfor/lleisiau-arfor
language:
  - cy
  - en
pipeline_tag: automatic-speech-recognition

whisper-large-v3-ft-verbatim-cy-en

This model is a version of openai/whisper-large-v3 finedtuned with transcriptions of Welsh language spontaneous speech from Banc Trawsgrifiadau Bangor (btb) and Lleisiau Arfor as well as recordings of read speech from Welsh Common Voice version 18 (cv) and Welsh Common Voice Vad Segments for additional training.

As such this model is suitable for more verbatim transcribing of spontaneous or unplanned speech. It achieves the following results on the Banc Trawsgrifiadau Bangor'r test set

WER: 28.99
CER: 10.27

Usage

from transformers import pipeline

transcriber = pipeline("automatic-speech-recognition", model="techiaith/whisper-large-v3-ft-btb-cv-cy")
result = transcriber(<path or url to soundfile>)
print (result)

{'text': 'ymm, yn y pum mlynadd dwitha 'ma ti 'di... Ie. ...bod drw dipyn felly do?'}