Detection from audio and text data features using modified score level fusion and improved deep convolutional neural network

Puntos clave

• The aim is to enhance feature detection by integrating audio and text data using a modified framework.
• Utilized modified score level fusion for combining data sources.
• Implemented an improved deep convolutional neural network architecture.
• Analyzed features extracted from various audio and text data types.
• Achieved higher accuracy in feature detection compared to traditional methods.
• Demonstrated effective integration of audio and text data features.