Stroke is one of the leading causes of long‐term disability worldwide, placing huge burdens
on individuals and society. Further, automatic human activity recognition is a challenging …

With the increasing severity of hearing problems caused by an aging population, it has
become more urgent to study speech quality evaluation methods for hearing aids to …

Structured Support Vector Machines (structured SVMs) are a fundamental machine learning
algorithm, and have solid theoretical foundation and high effectiveness in applications such …

Abstract Empirical Mode Decomposition (EMD) is an alternative decomposition method that
allows the analysis of non-stationary and non-linear signals, decomposing them into …

General masking-based speech enhancement using a deep learning architecture (DNN)
approach focuses on the spectral values of the speech in order to show improvement in …

INTRODUCTION: In the online English learning platform, noise interference makes people
unable to hear the content of English teaching clearly, which leads to a great reduction in the …

Monaural speech separation has remained a very challenging problem for a longtime which
can be addressed using a supervised learning approach that uses features of the noisy …

The most commonly used training target is masking-based approach which maps noisy
speech to the time–frequency (T–F) unit and has a remarkable impact on the performance in …

摘要目的: 构建中医脑血管疾病专科护士培训方案. 方法: 通过文献分析法, 半结构式访谈法初步
确定中医脑血管疾病专科护士培训方案, 采用德尔菲法邀请21 名专家进行2 轮函询. 结果 …

The development of intelligent technology has also made rapid progress in relevant speech
fields. In order to increase the application scenarios of speech recognition systems, the …