This model is a fine-tuned version of
openai/whisper-large-v3-turbo trained on
juanjucm/OpenHQ-SpeechT-GL-EN for
Galician Text to Speech task. It takes galician speech audios as input and generates the correspondant transcription.
This Automatic Speech Recognition model, was developed to be the first stage of a Speech Translation cascade system for transcribing and translating Galician audios into English texts. After this first STT step, this
Galician-to-English MT model can be applied over the generated Galician transcriptions to get English text translations.
The motivation behind this work is to increase the visibility of the Galician language, making it more accessible for non-Galician speakers to understand and engage with Galician audio content.
This model was developed during a 3-week Speech Translation workshop organised by
Yasmin Moslem.
We used
WER (Word Error Rate) as our reference transcription metric for selecting the best checkpoint after training.
