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22.01 (Ionawr / January 2022)
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@DewiBrynJones DewiBrynJones released this 31 Jan 11:56
· 9 commits to main since this release
22.01
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Read this release note in English

Dyma ein sgriptiau ym mis Ionawr 2022 (22.01) ar gyfer hyfforddi, gwerthuso, defnyddio a chynnal API adnabod lleferydd Cymraeg eich hunain ar sail model wav2vec2-large-xlsr-53 gan Facebook ac HuggingFace, a KenLM gan Kenneth Heafield ac eraill.

Rydym hefyd yn cyhoeddi modelau sydd wedi'u hyfforddi gyda data Mozilla CommonVoice Cymraeg fersiwn 8, a chyhoeddwyd ym mis Ionawr 2022, a data corpws testunau Cymraeg OSCAR o fis Ionawr 2022.

Ceir ffeiliau modelau ar wefan HuggingFace: https://huggingface.co/techiaith/wav2vec2-xlsr-ft-cy/tree/22.01

Mewn arbrofion syml, pan ddefnyddir y model acwsteg ac iaith gyda'i gilydd, mae'r adnabod lleferydd o ganlyniad yn cam-adnabod tua 13.79% o eiriau mewn brawddeg.

in English

Here are our January 2021 (22.01) scripts for training, evaluating, using and hosting your own Welsh speech recognition models based on wav2vec2-large-xlsr-53 by Facebook AI and HuggingFace, as well as KenLM by Kenneth Heafield and others.

This release also contains models trained with the Welsh dataset from Mozilla CommonVoice version 8 as published in January 2022 and the Welsh text corpus dataset from OSCAR from January 2022.

Models can be found on the HuggingFace website: https://huggingface.co/techiaith/wav2vec2-xlsr-ft-cy/tree/22.01

In simple evaluations on the Welsh Common Voice test set, the models, when used together in inference, exhibit a word error rate of 13.79%.

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