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The non-uniform directional filter bank (nuDFB) is a new two-dimensional decomposition of image that have both multiresolution and multidirectional properties. In this paper we proposed a hybrid filter bank that combine the nuDFB with the discrete wavelet transform (DWT). The new image decomposition is then used in image denoising application, where the hidden Markov model is applied to account for...
Hidden Markov models are used in many important applications such as speech recognition and handwriting recognition. Finding an effective HMM to fit the data is important for successful operation. Typically, the Baum-Welch algorithm is used to train an HMM, and seeks to maximize the likelihood probability of the model, which is closely related to the Viterbi score. However, random initialization causes...
Many applications requiring detection and identification of speech while in high noise environments can be commonly found in factory, automobile, aircraft or other settings. In such conditions, collecting speech at other locations than the mouth may lead to speech of better quality than can be obtained at the mouth. Our study focuses on a COTS foam-incased in-ear microphone device well suited for...
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