Speech-in-noise perception is an important research problem in many real-world multimedia
applications. The noise-reduction methods contributed significantly; however rely on a priori …

Many forms of human communication exist; for instance, text and nonverbal based. Speech
is, however, the most powerful and dexterous form for the humans. Speech signals enable …

Nowadays, due to the development of digital information technology, computer vision
technology can be used to optimize the image and effectively identify the content of the …

In forensic automatic speaker recognition (FASR), voice disguise is a most important
disquiet in the field of multimedia applications. It is most important to classify the disguised …

One of the most significant challenges in the real time speech processing applications is the
elimination of noise in the corrupted speech data. This noise can significantly impact the …

Nonnegative matrix factorization‐(NMF‐) based noise reduction methods can effectively
improve the performance of environmental sound recognition. However, when the …

Time-frequency masking combined with spectral phase estimation may be useful for
recovering the intelligibility and quality of speech degraded by background noises. This …

PURPOSE: This literature review explores the role of machine learning in image recognition
based on the application of computer vision to martial arts. BRMETHODS: To achieve the …

In real world environments, the speech signals received by our ears are usually a mixture of
different complex background noise and target speech. Such complex background noise …