Directly emitting words and sub-words from speech spectrogram has been shown to produce good results using end-to-end (E2E) trained models. Connectionist Temporal Classification (CTC) and ...

👋 Welcome to 5 Things PM! Excessive alcohol use is pretty common, with 17% of adults in the US reporting binge drinking. Researchers explain why some people can’t stop — even when they know it’s ...

Fullstack project combining a trained ResNet-101, FastAPI, and Streamlit. Upload an image or URL to classify cats vs dogs, with advanced CNN interpretability (Grad-CAM, feature maps, occlusion). Fully ...

Visual Attention Networks (VANs) leveraging Large Kernel Attention (LKA) have demonstrated remarkable performance in diverse computer vision tasks, often outperforming Vision Transformers (ViTs) in ...

Introduction: As digital games become an important medium for global cultural dissemination, social media platforms have gradually become the primary space for players to express emotions and interact ...

Five young women are staring anxiously at a laptop. This is the call they’ve long been waiting for. A flurry of mixed emotions takes over as they each learn they have been selected by FIFA for the ...

ABSTRACT: The study adapts several machine-learning and deep-learning architectures to recognize 63 traditional instruments in weakly labelled, polyphonic audio synthesized from the proprietary Sound ...

Abstract: Audio feature selection and neural network architecture play crucial roles in speech recognition performance. This paper presents a comparative analysis of Artificial Neural Networks (ANNs) ...