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Register a new userSpeech Emotion Recognition Based on CNN+LSTM Model
التعرف على العاطفة الكلام بناء على نموذج CNN + LSTM
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بسبب شعبية خدمات مساعد الحوار الذكي، أصبح التعرف على عاطفي الكلام أكثر وأكثر أهمية.في التواصل بين البشر والآلات، يمكن للتعرف على العاطفة وتحليل العاطفة تعزيز التفاعل بين الآلات والبشر.تستخدم هذه الدراسة نموذج CNN + LSTM لتنفيذ معالجة العاطفة الكلام (SER) والتنبؤ بها.من النتائج التجريبية، من المعروف أن استخدام نموذج CNN + LSTM يحقق أداء أفضل من استخدام نموذج NN التقليدي.
Due to the popularity of intelligent dialogue assistant services, speech emotion recognition has become more and more important. In the communication between humans and machines, emotion recognition and emotion analysis can enhance the interaction between machines and humans. This study uses the CNN+LSTM model to implement speech emotion recognition (SER) processing and prediction. From the experimental results, it is known that using the CNN+LSTM model achieves better performance than using the traditional NN model.
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