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检索条件"机构=State Key Laboratory of Intelligent Technology& Systems"

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Utterance verification based on dynamic garbage evaluation approach

Utterance verification based on dynamic garbage evaluation a...

引用

International Conference on Signal Processing Proceedings (ICSP)

作者： Jun Liu Xiaoyan Zhu State Key Laboratory of Intelligent Technology and Systems Department of C.S Tsinghua University Beijing China

keyword spotting and utterance verification is widely used in dialog systems. The capability to deal with words out of a vocabulary is an important factor to evaluate a dialog system. This paper presents the dynamic garbage evaluation approach, which evaluates the confidence of the utterance in speech recognition with strong flexibility. The combination of the dynamic garbage evaluation approach and antikeyword models solves the problem of lack of flexibility of the explicit garbage models and the verification capability of on-line garbage modeling.

关键词： Vocabulary Hidden Markov models Speech analysis Speech recognition System performance Testing IEEE members Laboratories intelligent systems Speech processing

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A new feature in speech recognition based on wavelet transform

A new feature in speech recognition based on wavelet transfo...

引用

International Conference on Signal Processing Proceedings (ICSP)

作者： Yu Hao Xiaoyan Zhu Department Of C.S. State Key Laboratory of Intelligent Technology and Systems Tsinghua University Beijing China

Due to the excellent ability of dynamically adjusting the observation scope when the analyzing frequency changed, wavelet transform has been successfully applied to the processing of a non-stationary speech signal. We use the wavelet transform (WT) result and combine it with the traditional CEP vector (CEP-WT) to produce a new feature as the front-end output of an auto speech recognition system. Evaluation and experiments of the new feature show that the proposed method can improve the recognition system performance promisingly.

关键词： Speech recognition Wavelet transforms Discrete wavelet transforms Continuous wavelet transforms Wavelet analysis Feature extraction Frequency Signal processing Signal analysis Speech analysis

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Reference point alignment frequency warp method for speaker adaptation

Reference point alignment frequency warp method for speaker ...

引用

International Conference on Signal Processing Proceedings (ICSP)

作者： Tranzai Lee Fang Zheng Wenhu Wu Center for Speech Technology State Key Laboratory of Intelligent Technology and Systems Department of Computer Science and Technology and Systems Department of Computer Science and Technology Tsinghua University Beijing China

The variations of speakers' vocal tract shapes result in the variations of the formant positions and sequentially in the variances of the features extracted from every frame of speech. In order to remove or reduce the variations of the formant positions, a speaker adaptation method is proposed and investigated in this paper which is based on a frequency warp function (f.w.f.). The f.w.f. warps the frequency axis so that the variations can be reduced. For a given speaker, some frequency reference points are selected to help to get this f.w.f. by finding the relationship between the positions of these reference points before and after the warping. According to the new positions of those reference points for the given speaker, the f.w.f. can then be constructed. The experimental results show that this method reduces the error rate by an average of 14.5%.

关键词： Frequency Speech Feature extraction Shape Maximum likelihood linear regression Hidden Markov models Laboratories intelligent systems Computer science Error analysis

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UTTERANCE VERIFICATION BASED ON DYNAMIC GARBAGE EVALUATION APPROACH

UTTERANCE VERIFICATION BASED ON DYNAMIC GARBAGE EVALUATION A...

引用

2000年第16届世界计算机大会

作者： Jun Liu Xiaoyan Zhu IEEE Member State Key Laboratory of Intelligent Technology and Systems Dept.of C.S. Tsinghua University

keywords spotting and utterance verification is widely used in dialog *** capability to deal with the words out of vocabulary is an important factor to evaluate a dialog *** paper presents dynamic garbage evaluation approach,which evaluates the confidence of the utterance in speech recognition with strong *** combination of dynamic garbage evaluation approach and antikeyword models solves the problem of lack flexibility of the explicit garbage models and the verification capability of on-line garbage modeling.

关键词： UTTERANCE VERIFICATION BASED ON DYNAMIC GARBAGE EVALUATION APPROACH

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Discrete-time tracking control of robotic manipulators based on dynamic inversion using dynamic neural networks

Discrete-time tracking control of robotic manipulators based...

引用

IEEE International Symposium on intelligent Control (ISIC)

作者： F.C. Sun Z.Q. Sun R.J. Zhang Y.B. Chen Department of Computer Science and Technology State Key Laboratory of Intelligent Technology and Systems Beijing China Departmentof Electrical Engineering Purdue University Indianapolis IN USA

A stable discrete time tracking control approach based on dynamic inversion using dynamic neural networks (DNNs) is developed in the paper for robotic manipulators with unknown dynamics nonlinearities. Two novel design technologies-dynamic inversion constructed by DNNs and the NN variable structure control-are used for adaptive tracking controller design. The robot control law is composed of the dynamic inversion of the DNN system, adaptive compensation and the NN variable structure control (VSC) components. The developed control scheme guarantees the global stability and tracking error convergence of the NN control system. Finally, the control performance of the proposed control approach is illustrated through the comparison studies with robot tracking control approach using static NNs.

关键词： Robot control Manipulator dynamics Neural networks Nonlinear dynamical systems Control systems Programmable control Adaptive control Control nonlinearities Adaptive systems Stability

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A neural network based classifier for handwritten Chinese character recognition

A neural network based classifier for handwritten Chinese ch...

引用

International Conference on Pattern Recognition

作者： Mingrui Wu Bo Zhang Ling Zhang State key laboratory of Intelligent Technology and Systems Beijing China Department of Computer Science and Technology Tsinghua University Beijing China Artificial Intelligence Institute Anhui University of Technology Jijel Algeria

ISBN: (纸本)0769507506

In this paper, a geometrical approach for building neural networks is proposed. With the proposed approach, it is very easy to construct an efficient neural classifier to solve the handwritten Chinese character recognition problem, as well as other pattern recognition problems of large scale. Experiments are conducted to evaluate the performance of the proposed approach and results obtained are promising.

关键词： Neural networks Character recognition Pattern recognition Solid modeling Large-scale systems Handwriting recognition Neurons Laboratories intelligent systems Computer science

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Kalman Filter Channel Tracking Algorithm Based on AR Model In WCDMA systems

Kalman Filter Channel Tracking Algorithm Based on AR Model I...

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2000年第16届世界计算机大会

作者： Xiaobo Zhou Yunxin Zhao Xinhua Zhuang Wei Wei Xianda Zhang Computer Engineer and Computer Science University of Missouri-ColumbiaColumbiaMo 65211USA State Key Laboratory of Intelligent Technology and Systems Department of Automation TsingHua University

In the standard of the third generation digital mobile communications,there are pilot symbols in each slot,namely training *** traditional methods estimate pilot channel using pilot information,estimate data channel by interpolation or decision-feedback,and then obtain transmitted information by channel *** Kalman filter is a commonly used methods for tracking channel *** this paper,we propose an algorithm which uses Kalman filter based on AR model to track time-varying *** investigate how to estimate channel and implement equalizer by Kalman filter in DS-CDMA *** apply two methods to obtain the AR coefficients,one is adaptive LMS algorithm,and the other is Durbin's recursion method. Simulations show algorithm is effective for the estimation of the frequence-selective fading channel.

关键词： Decision-Feedback Kalman filter Channel Estimation AR model

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A CBIR method based on color-spatial feature

A CBIR method based on color-spatial feature

引用

1999 IEEE Region 10 Conference, TENCON 1999

作者： Lei, Zhang Fuzong, Lin Bo, Zhang State Key Laboratory of Intelligent Technology and Systems Department of Computer Science and Technology Tsinghua University Beijing100084 China

ISBN: (纸本)0780357396

Along with the analysis of color features in the hue, saturation and value (HSV) space, a new dividing method to quantize the color space into 36 non-uniform bins is introduced in this paper. Based on this quantization method we propose a color-spatial method to include several spatial features of the colors in an image for retrieval. These features are area and position, which mean the zero-order and the first-order moments, respectively. Experiments on an image database of 838 images show that the algorithm performs well in precision and adaptability. © 1999 IEEE.

关键词： Color

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A robust learning algorithm for the extended AM neural network

A robust learning algorithm for the extended AM neural netwo...

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International Joint Conference on Neural Networks (IJCNN)

作者： J. Minghu Z. Xiaoyan The State Key Laboratory of Intelligent Technology & Systems Department of Computer Tsinghua University Beijing China

The extended associative memory (AM) neural network (EAMNN) has the advantage of performing the classification in noisy environments. We propose a faster robust learning algorithm of EAMNN and a new error cost function based on weighted sum of standard output error and Hamming distance of output error, and the additional derivatives term of first hidden layer neural activation functions. The fast backpropagation training is based on a modified steepest descent method derived by changing the error function to update weights according to output error, thus it speeds up significantly training speed of the MLP and BAM. The algorithm can force the hidden-layer activation to be saturated to reduce sensitivity of the output values to input variables effectively. It improves robustness on classification performance, increases associative memory ability and accelerates training speed of EAMNN. The experiments verify that it is more powerful than other networks. Then we proposed a two level tree structure modular EAMNN for large-set pattern classification.

关键词： Robustness Neural networks Associative memory Backpropagation algorithms Error correction Working environment noise Cost function Hamming distance Magnesium compounds Input variables

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A CBIR method based on color-spatial feature

A CBIR method based on color-spatial feature

引用

IEEE Region 10 International Conference TENCON

作者： Zhang Lei Lin Fuzong Zhang Bo State Key Laboratory of Intelligent Technology and Systems Department of Computer Science and Technology Tsinghua University Beijing China

关键词： Image color analysis Image retrieval Quantization Space technology Content based retrieval Histograms Laboratories intelligent systems Computer science Image analysis

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