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Monaural speech enhancement is a key yet challenging problem in speech area, which is always used as a pre-processing step of robust speech processing. Deep learning has proved to be very successful for solving this issue. In this paper, a new approach for enhancing the noisy speech in a single channel recording is presented. We propose a modified ideal ratio mask (IRM) which calculated by normalized...
Speech enhancement plays an important role in robust speech processing. Deep learning has become a new trend towards solving speech enhancement problems. The input feature is a key aspect of deep learning, which effect the enhancement performance. In this paper, we explore a new feature which extract through the minimum mean square error (MMSE) estimator pretreatment. Incorporating the MMSE pretreatment...
We investigate the problem of multichannel allocation in small-cell networks (SCNs) by taking the quality of experience (QoE) of users into account. In most existing channel allocation approaches, they are assumed that each user can only transmit on one channel and the optimization goal is the network throughput without considering users' demand. Moreover, the central controller is needed which is...
NS(Simulator Network) is an object-oriented visual simulator based on large-scale discrete event. It simulates not only the transmission of network data and topology architecture, but also all kinds of IP network circumstance. This paper describes the architecture and characteristics of NS, and also gives the technique and the general process based on NS. The instance of a streaming media applications-based...
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