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@@ -31,7 +31,7 @@ library_name: transformers
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # wav2vec2-large-lv60_phoneme-timit_english_timit-4k_simplified_001
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  This model is a fine-tuned version of [facebook/wav2vec2-large-lv60](https://huggingface.co/facebook/wav2vec2-large-lv60) on the [TIMIT](https://huggingface.co/datasets/timit-asr/timit_asr) dataset.
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  It achieves the following results on the evaluation set:
@@ -47,7 +47,7 @@ Trained on a simplified version of the TIMIT phone set.
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  ### Merged Phonemes
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  - Based on error analysis for each phoneme from the original TIMIT phoneme set.
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- - See [this repo](https://huggingface.co/excalibur12/wav2vec2-large-lv60_phoneme-timit_english_timit-4k_002) for detailed analysis.
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  - ax-h &rarr; ax
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  - axr &rarr; er
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  - ix &rarr; ih
 
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # wav2vec2-large-lv60_phoneme-timit_english_timit-4k_simplified
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  This model is a fine-tuned version of [facebook/wav2vec2-large-lv60](https://huggingface.co/facebook/wav2vec2-large-lv60) on the [TIMIT](https://huggingface.co/datasets/timit-asr/timit_asr) dataset.
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  It achieves the following results on the evaluation set:
 
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  ### Merged Phonemes
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  - Based on error analysis for each phoneme from the original TIMIT phoneme set.
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+ - See [this repo](https://huggingface.co/excalibur12/wav2vec2-large-lv60_phoneme-timit_english_timit-4k) for detailed analysis.
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  - ax-h &rarr; ax
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  - axr &rarr; er
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  - ix &rarr; ih