Speech Feature
Speech features are the acoustic and linguistic characteristics extracted from speech signals, used to achieve various objectives like speech enhancement, summarization, speaker verification, and even medical diagnosis. Current research focuses on developing robust feature extraction methods using deep learning models, such as transformers and convolutional neural networks, often incorporating attention mechanisms to capture complex temporal and spectral dependencies. These advancements are improving the accuracy and efficiency of applications ranging from assistive technologies for individuals with speech impairments to enhanced security systems and improved diagnostic tools for neurological disorders.
Papers
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