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检索条件"主题词=Linear predictive coding"

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linear and non-linear effects of n-silicon: theory and simulation

Linear and non-linear effects of n-silicon: theory and simul...

引用

IEEE SENSORS

作者： C.R. Tellier A.R. Charbonnieras S. Durand L.C.E.P. E.N.S.M.M Besançon France L.A.U.M. France

In this paper new theoretical expressions are derived for the reference shear LPC and for all reference NLPC related to shear stresses that allow us to characterize the influence of temperature and of doping. A simulator PIEZOSIM was developed where computations of primed LPC and NLPC involve reference piezoresistance coefficients related to uniaxial and/or shear stresses. This simulator seems to be a convenient tool to investigate advantages of piezoresistive elements with special orientations.

关键词： Stress linear predictive coding Piezoresistance Computational modeling Silicon Force measurement Temperature sensors Boltzmann equation Electrons Doping

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A novel approach to increase the robustness of speaker independent Arabic speech recognition

A novel approach to increase the robustness of speaker indep...

引用

IEEE International Conference on Multi Topic

作者： M. Shoaib F. Rasheed J. Akhtar M. Awais S. Masud S. Shamail Department of Computer Science LUMS Lahore Pakistan

This work presents a two-tier approach through sequential application of intensity contours and formant tracks for accurate Arabic phoneme identification. The recognition system developed is based on data sets of 40 speakers for each Arabic phonetic sound. As a first step towards recognition of phonemes, the sound is sampled and then preprocessed to get formant frequencies and intensity contours. In order to automate the intensity and formant based feature extraction, a generalized regression neural network has been implemented, trained and validated on 21 input features.

关键词： Robustness Speech recognition Frequency estimation Equations linear predictive coding Neural networks Resonant frequency Speech analysis Computer science Application software

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Recognition of speech commands using a modified neural fuzzy network and an improved GA

Recognition of speech commands using a modified neural fuzzy...

引用

IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： K.F. Leung F.H.F. Leung H.K. Lam P.K.S. Tam Centre for Multimedia Signal Processing Department of Electronic and Information Engineering Hong Kong Polytechnic University Kowloon Hong Kong China

This paper presents the recognition of speech commands using a modified neural-fuzzy network. To train the parameters of the network, an improved genetic algorithm is proposed. As an application example, the proposed speech recognition approach is implemented in an Electronic Book experimentally to illustrate the design and its merits.

关键词： Speech recognition Fuzzy neural networks Hidden Markov models Signal processing algorithms Feature extraction linear predictive coding Artificial neural networks Speech processing Working environment noise Filter bank

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Model-based packet loss concealment for AMR coders

Model-based packet loss concealment for AMR coders

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： C.S. Xydeas F. Zafeiropoulos Department of Communications Systems Lancaster University Lancaster UK

A general packet loss correction/concealment signal recovery framework is proposed for parametric speech coders. Both redundancy-based forward error correction (FEC) and receiver only (RO) techniques are considered in conjunction with the adaptive multi-rate (AMR) coder. The robust, low bit rate, high communications speech quality Manchester pitch synchronous (MPS) coder is employed in the proposed systems as a secondary coding process. Thus the performance of AMR/MPS-FEC/RO packetised speech transmission systems is considered. Subjective and objective computer simulation results clearly indicate the superiority of the proposed schemes over conventional AMR based systems, particularly at relatively high (>5%) packet loss rates.

关键词： Forward error correction Propagation losses Robustness Speech coding Bit rate Knowledge based systems linear predictive coding Adaptive filters Information filtering Information filters

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Neural network for LIDAR detection of fish

Neural network for LIDAR detection of fish

引用

International Joint Conference on Neural Networks (IJCNN)

作者： V. Mitra Chia-Jiu Wang G. Edwards Department of Engineering University of Denver Denver CO USA ECE Department University of Colorado Colorado Springs Colorado Springs CO USA

In this paper we present a neural network for detection of fish, from light detection and ranging (LIDAR) data and have described a classification method for distinguishing between water-layer, bottom and fish. Four multi-layer perceptrons (MLP) were developed for the classification purpose, where classes include fish, bottom and water-layer. The LIDAR data gives a sequence of intensity of laser backscatters obtained from laser shots at various heights above the Earth surface. The data is preprocessed to remove the high frequency noise and then a window of the sample is selected for further processing to extract features for classification purposes. We have used linear predictive coding (LPC) analysis for the feature detection purpose. The results show that the detection technique is effective and can do the required classification with a high degree of accuracy. We have tried our approach with four different MLPs and are presenting the data obtained from each of them.

关键词： Neural networks Laser radar Marine animals Laser noise linear predictive coding Multilayer perceptrons Backscatter Earth Surface emitting lasers Frequency

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General clusters in peer-to-peer networks

General clusters in peer-to-peer networks

引用

IEEE International Conference on Networks

作者： T.H.-t. Hu A. Sereviratne University of New South Wales Sydney Australia

The use of clusters in unstructured peer-to-peer systems such as Gnutella is effective for reducing traffic generated by broadcasts. Introducing semi-structured peer-to-peer systems, this paper first details the modification required for Gnutella nodes to form locality proximate clusters, which groups nodes by the clustering criterion of geographical closeness. It then presents the generic general clusters that supports multiple clustering criteria and unfixed number of clusters. Two clustering topologies are proposed for general clusters, and the characteristics of the topology formation are investigated through simulation. The use of caching in topology formation is also investigated.

关键词： Intelligent networks Peer to peer computing Broadcasting Network topology Scalability Costs linear predictive coding Telecommunication traffic Transfer functions Australia

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Loop power flow control and voltage characteristics of distribution system for distributed generation including PV system

Loop power flow control and voltage characteristics of distr...

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World Conference on Photovoltaic Energy Conversion

作者： N. Okada H. Kobayashi K. Takigawa M. Ichikawa K. Kurokawa Central Research Institute of Electric Power Industry Komae Tokyo Japan Tokyo University of Agriculture슠and슠Technology Koganei Tokyo Japan

When distributed generation (e.g., PV) is installed for feeder imbalance, it is difficult to maintain a proper voltage range. In such cases, a loop distribution system has an advantage at voltage fluctuation. A loop power flow controller (LPC) may be expected to control loop distribution systems without any increase in short-circuit current. In this paper, we describe the relationship between loop power flow control and voltage characteristics for distributed generation, and propose a simple control method using local voltage information. The result of our simulation shows that the proposed control method for the LPC balances the power flow and regulates the voltage with stable operation.

关键词： Load flow Voltage control Control systems Distributed control linear predictive coding Switches Substations Load flow control Power system protection Circuit faults

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Capability of classifying vowels with a residual excited linear prediction (RELP) vocoder

Capability of classifying vowels with a residual excited lin...

引用

IEEE Pacific Rim Conference on Communications, Computers and Signal Processing

作者： A. Taguchi K. Takaya A. Saadat-Mehr Electrical Engineering University of Saskatchewan Saskatoon SAS Canada

The residual excited linear prediction (RELP) vocoder is a speech codec of good voice quality and a moderate bit rate of 9.6 Kbps for digital communication. However, the RELP does not positively utilize the parameterized speech information to identify speech contents and to determine what word was spoken. This paper proposes a method to classify the vowels in human speech by the RELP vocoder. The method analyzes the frequency response of the LPC filter whose parameters are obtained from a segment of the vowel contained in speech signal. Using the average vectors of frequency response with respect to each vowel sound, mutual Euclidian distances among the vowels were studied. Observed clear separation among the vowels suggests added capability of speech recognition to the RELP vocoder.

关键词： Vocoders Speech analysis Frequency response Speech codecs Bit rate Digital communication Humans Signal analysis linear predictive coding Filters

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A comparison between speech signal representation using linear prediction and Gabor transform

A comparison between speech signal representation using line...

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Asia-Pacific Conference on Communications

作者： S.M. Tahir A.Z. Sha 'ameri Faculty of Electrical Engineering Universiti Teknologi Malaysia UTM-Skudai Malaysia Digital Signal Process. Lab. Univ. Teknologi Malaysia Skudai Malaysia

Feature extraction from speech representation is one of the processes in speech recognition. Parametric modeling is a dominant approach to model speech signals. Within a localized interval, speech representation is equivalent to a noise driven output from an all-pole system that can be estimated using linear prediction. Besides the characteristics of speech, temporal variability of speech signal model is also due to the computation of linear prediction coefficients. Thus, an alternative representation is proposed based on the Gabor coefficients. In this paper, a comparison is made with the linear prediction coefficients to show the consistency of the parameters that are generated for implementation in the speech recognition system.

关键词： Signal representations Speech recognition linear predictive coding Random processes Speech processing Cepstral analysis Nonlinear filters Digital signal processing predictive models Feature extraction

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On the use of dynamic spectral parameters in speech recognition

On the use of dynamic spectral parameters in speech recognit...

引用

IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)

作者： S.M. Ahadi H. Sheikhzadeh R.L. Brennan G.H. Freeman E. Chau EE Dept. Amirkabir University of Technology Tehran Tehran Iran E&CE Dept. University of Waterloo Waterloo Ont. Canada Dspfactory Ltd. Waterloo Ont. Canada

Spectral dynamics have attracted the attention of researchers in speech recognition for a long time. As part of the speech feature vector they are found to be useful and hence are almost part of any feature extraction algorithm for speech recognition. However, the usual cepstral dynamics do not directly reflect the dynamics of the speech spectrum, as they are extracted from cepstral parameters. In this paper we show that dynamic parameters obtained directly from the speech spectrum can perform better under low-SNR noisy speech conditions, in comparison to the conventional dynamic cepstral parameters. Results on a compact set of the Aurora task have been reported.

关键词： Speech recognition Cepstral analysis Mel frequency cepstral coefficient Feature extraction Additive noise Noise robustness Fourier transforms Data mining linear predictive coding Speech processing

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