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In most of the current speech enhancement systems, speech signals collected by microphone are used as the only input data stream to recover the clean speeches, which will be greatly affected by the acoustic noise levels. Based on the fact that the noises or mismatches do not affect different data streams in similar ways, this paper proposes a new speech enhancement framework which can make use of...
Based on analyses of characteristic differences between various audio events, a two-level approach is proposed for detecting three non-lexical audio events (filled pause, laugh, and applause) in spontaneous odel-based decision. The experiments give average precision of 87.3%, recall of 93.77%, and F-measure of 90.42%. Compared with the sliding window based approach, average F-measure is improved by...
This paper presents a novel approach to recognize similar handwritten numerals based on empirical mode decomposition (EMD). We firstly use the local maximum modulus of wavelet transform (MMWT) to get the width-invariant and grey-level invariant characterization of contours in an image. Then we apply EMD analysis to decompose the synthetic shift normalization of curvature into their components, which...
Filled pause is one of the hesitation phenomena that current speech recognizers can not effectively handle. Detecting filled pauses is important in spontaneous speech dialogue systems because they play valuable roles, such as helping a speaker keep a conversational turn, in oral communication. In this paper, a novel detection method for filled pause is proposed based on a strategy of two-level decisions...
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