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# Model Card for Wav2Vec2 Large with Common Phone
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This is a multilingual phone recognition model optimized with the [Common Phone](https://zenodo.org/records/5846137) dataset.
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It was created in the scope of the PhD thesis of [Philipp Klumpp](https://scholar.google.com/citations?user=IWvgno4AAAAJ) to analyze pathological speech signals.
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Find the Source Code to use this model on [**GITHUB**](https://github.com/PKlumpp/phd_model).
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## Model Details
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Wav2Vec2 model with linear projection to CTC blank token + 101 phone symbols from the International Phonetic Alphabet (IPA).
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# Model Card for Wav2Vec2 Large with Common Phone
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This is a multilingual phone recognition model optimized with the [Common Phone](https://zenodo.org/records/5846137) dataset.
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It was created in the scope of the PhD thesis [Phonetic Transfer Learning from Healthy References for the Analysis of Pathological Speech](https://open.fau.de/items/d0c6b800-e217-4049-ab1f-a746fc9b3966) by [Philipp Klumpp](https://scholar.google.com/citations?user=IWvgno4AAAAJ) to analyze pathological speech signals.
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Find the Source Code to use this model on [**GITHUB**](https://github.com/PKlumpp/phd_model).
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To cite this work, please use the following BibTex snippet:
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```
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@phdthesis{klumpp2024phdthesis,
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author = "Philipp Klumpp",
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title = "Phonetic Transfer Learning from Healthy References for the Analysis of Pathological Speech",
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school = "Friedrich-Alexander-Universit{\"a}t Erlangen-N{\"u}rnberg",
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address = "Erlangen, Germany",
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year = 2024,
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month = may
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}
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```
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## Model Details
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Wav2Vec2 model with linear projection to CTC blank token + 101 phone symbols from the International Phonetic Alphabet (IPA).
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