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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...
Face recognition has attracted much attention in the past decades for its wide potential applications. Much progress has been made in the past few years. However, specialized evaluation of the state-...
Illumination Normalization for Robust Face Recognition against Varying Lighting Conditions.
Pose Normalization for Robust Face Recognition Based on Statistical Affine Transformation.
In this paper our approach to the lexical tone recognition of Chinese continuous speech is presented. The Mixed Gaussian Continuous Probability Model (MGCPM) [1] is used for the tone modeling, and the...
In this paper a real-world continuous-manner 2000-phrase speaker-independent Chinese speech recognition system is introduced, the vocabulary of which consists of 2000 Chinese phrases and each phrase i...
A log-index weighted cepstral distance measure is proposed and tested in speaker-independent and speaker-dependent isolated word recognition systems using statistic techniques. The weights for the cep...

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