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As a highly active topic in computational paralinguistics, speech emotion recognition (SER) aims to explore ideal representations for emotional factors in speech. In order to improve the performance of SER, multiple kernel learning (MKL) dimensionality reduction has been utilized to obtain effective information for recognizing emotions. However, the solution of MKL usually provides only one nonnegative...
The difficulty of speech comprehension under background noise greatly influenced the use of hearing aids. To address this problem, this paper proposes a new hearing aids algorithm based on speech recognition and synthesis. This method is based on the pure speech to build a parameters database. Under the real noisy scene, implement speech recognition for the input speech, and then extract the corresponding...
Speech emotion recognition has become an active topic in pattern recognition. Specifically, support vector machine (SVM) is an effective classifier due to the application of the nonlinear mapping function, which can map the data into high or ever infinite dimensional feature space. However, a single kernel function might not sufficient to describe the different properties of spontaneous speech emotion...
The website content management system mentioned in this paper is a foundational website application platform for website design and information distribution and is an auxiliary tool system for Website development. It enables the user to quickly develop, maintain and manage the high-performance dynamic website. The paper proposes the key method in which the system information distribution module is...
In this paper we study primal-dual interior point methods (IPMs) based on a new class of kernel functions which were designed by M. El Ghami, J.B.M Melissen and C. Roos for linear optimization, we extend the functions to second-order cone complementarity (SOCCP). The complexity bound of the method is shown, and the complexity bound of small-update interior-point methods matches the best known complexity...
The Fast Fourier Transform (FFT) has been considered one of the most important computing algorithms for decades. Its vast application domain makes it an important performance benchmark for new computer architectures. The most common Cooley-Tukey FFT algorithm factorizes a large FFT into a combination of smaller ones. The choice of factors and the order in which they are applied are critical to the...
Security bootstrap is important to the platform security. If the bootstrap is not secure, Rootkits, Viruses and Trojan horses may be loaded into kernel, thus the following defenses built on the compromised kernel may be useless. In this paper, a trusted-computing based security bootstrap is introduced. We modify trust chain defined by Trusted Computing Group slightly by introducing a new component...
TCP Splicing can be used in content-aware switches to tremendously reduce overall request latency. In order to reduce the processing latency further, we propose to off load the protocol processing onto network processors (NPs). An NP consists of a multithreaded multiprocessor architecture that can provide high throughput for packet processing or forwarding. However, off loading any protocol software...
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