3D Convolutional Recurrent Global Neural Network for Speech Emotion Recognition
| Autor: | Baraa Zayene, Chiraz Jlassi, Najet Arous |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Recurrent neural network
Artificial neural network Computer science business.industry 0202 electrical engineering electronic engineering information engineering 020206 networking & telecommunications 020201 artificial intelligence & image processing 02 engineering and technology Emotion recognition Artificial intelligence business Popularity Convolutional neural network |
| Zdroj: | ATSIP |
| DOI: | 10.1109/atsip49331.2020.9231597 |
| Popis: | Nowadays emotion recognition has become the most interesting topic due its important role in Human Computer Interaction (HCI). Speech emotion recognition is a part of this topic which is gaining more popularity in the last years. To recognize emotion, many methods have been developed using machine learning. In this work, we use a deep neural network which takes as input personalized features. To test our proposed system we used several databases with different languages to train and to evaluate our model. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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