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Aiming at building a dialectal Chinese speech rec ognizer from a standard Chinese speech recognizer with a small am ount of dialectal Chinese speech, a novel, simple but effective acoustic modeling me...
For the special session on speaker recognition of the 5th International Symposium on Chinese Spoken Language Processing (ISCSLP 2006), the Chinese Corpus Consortium (CCC), the session organizer, deve...
This paper proposes a novel nonlinear discriminant analysis method named by Kernerlized Maximum Average Margin Criterion (KMAMC), which has combined the idea of Support Vector Machine with the Kernel ...
Sign language is the primary modality of communication among deaf and mute society all over the world. This paper proposes a viewpoint independent method for sign recognition. Considering that two seq...
Illumination variation is one of the bottlenecks of face recognition systems. In the past few years, many approaches to coping with illumination variations have been proposed which can be categorized...
Voiceprint Recognition (or Speaker Recognition) is one of the most important branches in speech processing. Its applications have been becoming wider and wider whereas a lot of fundamental and practic...
The Gaussian mixture model-universal background model (GMM-UBM) has been dominant in text-independent speaker recognition tasks. However the conventional GMM-UBM method assumes that each Gaussian mixt...
The performance of any speaker identification system degrades quite seriously when the acoustic conditions for testing mismatch those for training. In this paper, we propose a method to restore clean ...
In state-of-the-art speaker recognition systems, mel-sc aled freque nc y cepstr al coeff i ci ents (MFCCs) are perhaps the m ost w i dely used front-ends. One of the ma jor is sues with the M ...
In this paper, we present the rarely concerned curse of mis-alignment problem in face recognition, and propose a novel mis-alignment learning solution. Mis-alignment problem is firstly empirically ...
Gabor feature has been widely recognized as better representation for face recognition in terms of rank-1 recognition rate. In this paper, we review the strength of Gabor feature for face recognition...
This paper presents support vector machines (SVM)for few samples-based face recognition with two-layer artificially generated virtual training data. The few samples cannot express all the conditions ...
The major difficulty for large vocabulary sign recognition lies in the huge search space due to a variety of recognized classes. How to reduce the recognition time without loss of accuracy is a chall...
This paper presents a novel face recognition method based on cascade Linear Discriminant Analysis (LDA) of the component-based face representation. In the proposed method, a face image is represented ...
In this paper, we propose a novel approach to robust speech recognition in noisy environments by discriminating the observation vectors. In conventional HMM-based speech recognition, all the observ...

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