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README.md
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@@ -4,9 +4,11 @@ pipeline_tag: audio-classification
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tags:
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- automatic-speech-recognition
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- emotion-recognition
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- model_hub_mixin
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- pytorch_model_hub_mixin
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- speaker-identification
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---
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Multitask Speech Model with Wav2Vec2
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@@ -48,4 +50,4 @@ Evaluation metrics:
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Character Error Rate (CER) for character recognition
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Accuracy for speaker and emotion classification
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tags:
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- automatic-speech-recognition
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- emotion-recognition
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- speaker-identification
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language:
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- en
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base_model:
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- facebook/wav2vec2-base
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---
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Multitask Speech Model with Wav2Vec2
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Character Error Rate (CER) for character recognition
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Accuracy for speaker and emotion classification
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