2,893 research outputs found

    Letter from Cy Donner to Michi Weglyn, June 2, 1967

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    A letter from Cy Donner to Michi Weglyn encouraging her to come out to California to talk to producers about two shows called "Youthquake" and "Pretty Talk".These materials are from box 73 and 74 of the Frank Chin Papers. The Frank Chin Papers contain personal and professional correspondence between Frank Chin and Michi Weglyn relating to particular projects on which either author was working as well as files related to the Day of Remembrance Tribute to Michi Weglyn

    techiaith/docker-wav2vec2-xlsr-ft-cy: 22.01 (Ionawr / January 2022)

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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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