Abstract: The Bagging method suffers from suboptimal accuracy due to limitations in feature extraction and complex variations in audio data. Although Bagging is known to reduce overfitting and improve ...
A non-Japanese-speaking first-time visitor used Apple’s new in-ear translation feature to connect with locals at bars, sushi classes and even a fire ritual. By Ruffin Prevost I knew my efforts to ...
AlTalmas et al. (2022) developed a classification-based method using ML techniques and a variety of audio characteristics to identify mispronounced Sifaat with opposites in Qur’anic letters. The study ...
What if the programming language you rely on most is on the brink of a transformation? For millions of developers worldwide, Python is not just a tool, it’s a cornerstone of their craft, powering ...
Methods: We propose a computer-aided AD diagnosis method based on sMRI, named PlgFormer, which considers the extraction of both local and global features. By using a combination of convolution and ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
This pipeline leverages state-of-the-art computer vision and neural rendering techniques to create accurate 3D models from photogrammetric input. The system is designed for high-quality surface ...
Abstract: Feature extraction is an essential part of automatic speech recognition (ASR) to compress raw speech data and enhance features, where conventional implementation methods based on the digital ...
What if the tools you already use could do more than you ever imagined? Picture this: you’re working on a massive dataset in Excel, trying to make sense of endless rows and columns. It’s slow, ...
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