tiantiaf
/

whisper-large-v3-msp-podcast-emotion

Audio Classification

model_hub_mixin

pytorch_model_hub_mixin

speech_emotion_recognition

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tiantiaf commited on May 24

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@@ -18,7 +18,8 @@ This model includes the implementation of categorical emotion classification des
 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 compared to our official challenge submission system, but we created a speech-only system to make the model simple but still effective.
-We use the MSP-Podcast data to train this model, noting that the model might be sensitive to content information when making emotion predictions.
 The included emotions are:

 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 compared to our official challenge submission system, but we created a speech-only system to make the model simple but still effective.
+We use the MSP-Podcast data to train this model, noting that the model might be sensitive to content information when making emotion predictions. However, this could be a good feature for classifying emotions from online content.
 The included emotions are: