standing-o/Combined_Dataset_for_Speech_Emotion_Recognition
A collection of dataset consists of a total of 8 English speech datasets for SER
This project provides a comprehensive collection of eight English speech datasets specifically designed for Speech Emotion Recognition. It takes raw speech audio and optionally text data, processing it to identify emotions like anger, happiness, or sadness. This combined resource is ideal for researchers or engineers developing and training robust, generalized deep learning models for emotion detection in spoken language.
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Use this if you need a large, diverse dataset of English speech with labeled emotions to build or improve your speech emotion recognition models.
Not ideal if you need non-English speech data, datasets focused on specific accents outside of general North American, or if you're looking for a pre-trained model rather than a dataset to train one.
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Jupyter Notebook
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MIT
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Last pushed
Jan 08, 2025
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