Jue Hou

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In this paper, we propose an approach of multi-layered feature combination associated with support vector machine (SVM) for Chinese accent identification. The multi-layered features include both segmental and suprasegmental information, such as MFCC and pitch contour, to capture the diversity of variations in Chinese accented speech. The pitch contour is(More)
In this paper, we propose an approach for Chinese accent identification using both cepstral and prosodic features with gender-dependent model. We exploit a combination of conventional Shifted Delta Cepstrum (SDC) features and pitch contour features as an example of segmental and suprasegmental features, to capture the characteristics in Chinese accents. We(More)
To achieve a good balance between matching accuracy and computation efficiency is a key challenge for Query-by-Humming (QBH) system. In this paper, we propose an approach of n-gram based fast match. Our n-gram method uses a robust statistical note transcription as well as error compensation method based on the analysis of frequent transcription errors. The(More)
Advancing the practical utility of nonlinear optical microscopy requires continued improvement in imaging depth and contrast. We evaluated second-harmonic generation (SHG) and third-harmonic generation images from ex vivo human skin and showed that a sub-40 fs, 1060-nm Yb-fiber laser can enhance SHG penetration depth by up to 80% compared to a >100 fs, 800(More)
In this paper, we present an in-car Chinese noise corpus that can be used in simulating complicated car environment for robust speech recognition research and experiment. The corpus was collected in mainland China in 2009 and 2010. The corpus includes a diversity of car conditions including different car speed, open/close windows, weather conditions as well(More)
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