Monika Prajapatimonikaprajapati.hashnode.dev·Jul 21, 2024Emotion Detection Using Convolutional and Recurrent Neural NetworksIntroduction Emotion detection from speech and text is an important problem in affective computing with applications in human-computer interaction, sentiment analysis, mental health monitoring, and more. In recent years, deep learning approaches usin...Discuss·7 likesSpeech Emotion Recognition
Monika Prajapatimonikaprajapati.hashnode.dev·Jul 18, 2024Machine Learning Techniques for Speech Emotion RecognitionIntroduction Speech emotion recognition (SER) is the task of automatically identifying the emotional state of a speaker from their voice. It has important applications in areas like human-computer interaction, call centers, healthcare, and affective ...Discuss·16 likesHybrid CNN-RNN
Monika Prajapatimonikaprajapati.hashnode.dev·Jul 16, 2024Processing Sound Files for Emotion RecognitionSound files contain a wealth of information that can be used to recognize emotions in speech. By analyzing various acoustic features of speech recordings, we can extract meaningful data to train machine learning models for emotion classification. Thi...Discuss·8 likesSound Files
Monika Prajapatimonikaprajapati.hashnode.dev·Jul 10, 2024Introduction to Speech Emotion Recognition: Fundamentals and ChallengesIntroduction Speech Emotion Recognition (SER) is an emerging field at the intersection of speech processing, machine learning, and affective computing. It aims to automatically identify the emotional state of a speaker from their voice. This technolo...Discuss·10 likesSpeech Emotion Recognition
