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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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#
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This model is a fine-tuned version of [masoudmzb/wav2vec2-xlsr-multilingual-53-fa](https://huggingface.co/masoudmzb/wav2vec2-xlsr-multilingual-53-fa)
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on the [ShEMO](https://github.com/pariajm/sharif-emotional-speech-dataset) dataset for speech recognition in Persian (Farsi).
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It achieves the following results:
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- Loss on ShEMO train set: 0.7618
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- Loss on ShEMO dev set: 0.6728
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- WER on ShEMO dev set: 32.85
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- WER on Common Voice 13 test set: 19.21
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Model description
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## Model description
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### Model description
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### Model description
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### Model description
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More information needed
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## Intended uses & limitations
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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 XLSR Persian ShEMO
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This model is a fine-tuned version of [masoudmzb/wav2vec2-xlsr-multilingual-53-fa](https://huggingface.co/masoudmzb/wav2vec2-xlsr-multilingual-53-fa)
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on the [ShEMO](https://github.com/pariajm/sharif-emotional-speech-dataset) dataset for speech recognition in Persian (Farsi).
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When using this model, make sure that your speech input is sampled at 16 kHz.
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It achieves the following results:
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- Loss on ShEMO train set: 0.7618
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- Loss on ShEMO dev set: 0.6728
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- WER on ShEMO dev set: 32.85
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- WER on Common Voice 13 test set: 19.21
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## Model description
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More information needed
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## Intended uses & limitations
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