Abstract: Automatic speech recognition (ASR) for Hijaiyah letters in Arabic faces unique challenges due to phonetic complexity, subtle acoustic variations among the 28 different letters, and the need ...
Researchers at Tsinghua University developed the Optical Feature Extraction Engine (OFE2), an optical engine that processes data at 12.5 GHz using light rather than electricity. Its integrated ...
Abstract: Feature extraction and selection in the presence of nonlinear dependencies among the data is a fundamental challenge in unsupervised learning. We propose using a Gram-Schmidt (GS) type ...
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