Deep understanding with convolutional neural architectures has emerged as a dominant paradigm in cognitive intelligence. These structures are designed to analyze signals by recognizing features. Sequential layers allow for the optimized representation of temporal information, making them particularly suitable for tasks such as audio recognition.