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  # Model Description
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  This model includes the implementation of categorical emotion classification described in Vox-Profile: A Speech Foundation Model Benchmark for Characterizing Diverse Speaker and Speech Traits (https://arxiv.org/pdf/2505.14648)
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- The training pipeline used is also the top-performing solution (SAILER) in INTERSPEECH 2025—Speech Emotion Challenge (https://lab-msp.com/MSP-Podcast_Competition/IS2025/). Note that we did not use all the augmentation and did not use the transcript to make the model simple but still effective.
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- We use the MSP-Podcast data to train this model, noting that the model might be sensitive to content information in making the emotion prediction.
 
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  The included emotions are:
 
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  # Model Description
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  This model includes the implementation of categorical emotion classification described in Vox-Profile: A Speech Foundation Model Benchmark for Characterizing Diverse Speaker and Speech Traits (https://arxiv.org/pdf/2505.14648)
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+ The training pipeline used is also the top-performing solution (SAILER) in INTERSPEECH 2025—Speech Emotion Challenge (https://lab-msp.com/MSP-Podcast_Competition/IS2025/).
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+ Note that we did not use all the augmentation and did not use the transcript compared to our official challenge submission system, but we created a speech-only system to make the model simple but still effective.
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+ We use the MSP-Podcast data to train this model, noting that the model might be sensitive to content information when making emotion predictions.
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  The included emotions are: