Deep learning, a branch of machine learning, is a frontier for artificial intelligence, aiming to
be closer to its primary goal—artificial intelligence. This paper mainly adopts the summary …

A convolutional neural network (CNN) is one of the most significant networks in the deep
learning field. Since CNN made impressive achievements in many areas, including but not …

Over the past decades, a tremendous amount of research has been done on the use of
machine learning for speech processing applications, especially speech recognition …

Video summarization technologies aim to create a concise and complete synopsis by
selecting the most informative parts of the video content. Several approaches have been …

Researchers have recently been pursuing technologies for universal speech recognition
and interaction that can work well with subtle sounds or noisy environments. Multichannel …

Cardiac disorders are critical and must be diagnosed in the early stage using routine
auscultation examination with high precision. Cardiac auscultation is a technique to analyze …

In this paper, we propose an approach for music emotion recognition based on
convolutional long short term memory deep neural network (CLDNN) architecture. In …

This comprehensive review investigates the multifaceted applications of machine learning in
materials research across six key dimensions, redefining the field's boundaries. It explains …

We describe the latest improvements to the IBM English conversational telephone speech
recognition system. Some of the techniques that were found beneficial are: maxout networks …

Voice is one of the essential mechanisms for communicating and expressing one's
intentions as a human being. There are several causes of voice inability, including disease …