Abstract: Accents, characterized by deviations from standard pronunciation, often lead to a sharp decline in the performance of speech recognition systems. This issue becomes even more serious when ...
What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine learning.
The rapid growth of unlabeled time-series data in domains such as wireless communications, radar, biomedical engineering, and the Internet of Things (IoT) has driven advancements in unsupervised ...
ABSTRACT: An ancient fossil fuel, oil is a crucial energy source for various daily activities, such as electricity generation and vehicle operation. However, its ship transportation poses a ...
Abstract: Most existing unsupervised person re-identification (ReID) methods utilize a transfer learning paradigm that requires independent source annotations. Although recent Unsupervised Domain ...
Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...
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