Titlebook: Chinese Spoken Language Processing; 5th International Sy Qiang Huo,Bin Ma,Haizhou Li Conference proceedings 2006 Springer-Verlag Berlin Hei

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Pitch Mean Based Frequency Warping of speech recognition. The warp factors used in this process are calculated based on the average pitch of a speech segment. Two functions to describe the relations between the frequency warping factor and the pitch mean are defined and compared. We use a simple method to perform frequency warping i

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A Study of Knowledge-Based Features for Obstruent Detection and Classification in Continuous Mandariitory model is used as the front-end processor for extracting acoustic-phonetic features. These features are rich in their information content in a hierarchical decision process to detect and classify the Mandarin obstruents. The preliminary experiments showed that accuracy of obstruent detection is

GOAD

Speaker-and-Environment Change Detection in Broadcast News Using Maximum Divergence Common Componentadcast news signal. In order to discriminate the speaker-and-environment change in broadcast news, the MD-CCGMM signal model will maximize the likelihood of CCGMM signal modeling and the divergence measure of different audio signal segments simultaneously. Performance of the MD-CCGMM model was exami

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UBM Based Speaker Segmentation and Clustering for 2-Speaker Detection method based on difference of log-likelihood scores between two speaker models are proposed. During the segmentation process, the LLRS between two adjacent speech segments over UBM is used as a distance measure Cwhile during the clustering process Cthe difference of log-likelihood scores between tw

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Design of Cubic Spline Wavelet for Open Set Speaker Classification in Marathii language has been attempted in the open set mode using polynomial classifier. The method consists of dividing the speech signal into nonuniform subbands in approximate Mel-scale using an admissible wavelet packet filterbank and modeling each dialectal zone with the 2. and 3. order polynomial expan

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Rhythmic Organization of Mandarin Utterances — A Two-Stage Processw prosodic unit, the principle prosodic unit (PPU), into the prosodic hierarchy of Mandarin utterances. The key characteristic of PPU is that inner-unit words normally have to be spoken closely, while inter-unit grouping is rather flexible. Because of this, we further suggest that the rhythmic organ

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Prosodic Boundary Prediction Based on Maximum Entropy Model with Error-Driven Modification the problem of automatic segmentation of prosodic word and prosodic phrase, which are two fundamental layers in the hierarchical prosodic structure of Mandarin Chinese. Maximum Entropy (ME) Model was used at the front end for both prosodic word and prosodic phrase prediction, but with different fea

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