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Due to the continuous development of electronic products, the problem of cooling fan noise is receiving increasing attention. Especially, in recent years, low noise has become a highly competitive factor in the purchase of fan equipment. The design of low-noise fans and the noise reduction methods are the urgent demand of manufacturers as well as consumers. This paper summarizes the present noise...
In this paper we describe a framework to improve the detection of ball hit events in tennis games by combining audio and visual information. Detection of the presence and timing of these events is crucial for the understanding of the game. However, neither modality on its own gives satisfactory results: audio information is often corrupted by noise and also suffers from acoustic mismatch between the...
A new independent component regression (ICR) algorithm which maximizes the mutual information (MI) between extracted latent variables (LV) and output variable is proposed. It is found that mutual information between extracted LVs and output variable can be delicately combined with the independent component analysis (ICA) objective and only two-dimensional joint entropy needs to be estimated, which...
Spectrum sensing is a key component of cognitive radio networks. Compared with the single user spectrum sensing, cooperative spectrum sensing can detect the existence of the primary signal for improving the inference accuracy. However, cooperation induces additional communications overhead. In this paper, we propose a new cooperative spectrum sensing scheme with a light communication overhead caused...
While many efforts have been made in the audio signal classification field, the noise interruption problem is seldom concerned so far, especially in many telecommunication applications, where a real-time and noise robust approach is needed. This paper addresses this problem by proposing two novel robust features: average pitch density (APD) and relative tonal power density (RTPD). APD refers to the...
This paper proposes an adaptive stream reliability modeling technique for audio visual speech recognition (AVSR). As recognition conditions vary locally, we present two local measures - frame and window dispersions to depict the temporal discriminative powers and noise levels of both audio and visual streams. The dispersions are subsequently mapped to stream exponents according to the minimum classification...
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