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检索条件"主题词=Linear Predictive Coding"

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On feature selection in environmental sound recognition

On feature selection in environmental sound recognition

引用

International Symposium on Electronics in Marine (ELMAR)

作者： Dalibor Mitrović Matthias Zeppelzauer Horst Eidenberger Institute of Software Technology and Interactive Systems University of Technology Vienna Vienna Austria

Given a broad set of content-based audio features, we employ principal component analysis for the composition of an optimal feature set for environmental sounds. We select features based on quantitative data analysis (factor analysis) and conduct retrieval experiments to evaluate the quality of the feature combinations. Retrieval results show that statistical data analysis gives useful hints for feature selection. The experiments show the importance of feature selection in environmental sound recognition.

关键词： Data analysis Frequency Principal component analysis Music information retrieval Spatial databases linear predictive coding Cepstral analysis Information retrieval Speech recognition Fourier transforms

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The picture superiority effect in encoding and retrieval processes during Japanese learning for Chinese bilinguals

The picture superiority effect in encoding and retrieval pro...

引用

IEEE International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE)

作者： LiPing Mi Xiangyang Liu Fuji Ren Department of Information Science and Intelligent Systems University of Tokushima Tokushima Japan Department of Computer Science Shangqiu Normal University Henan China

In order to investigate the picture superiority effect, we compared the ERP between picture combined word (picture-word) and pure word (word) at study and test phase. During encoding, the FN400 was more negative and lasted longer for picture-words than for words. The late positive component (LPC) was more positive and distributed broadly for words compared to picture-words. During retrieval, the old picture-word elicited remarkably FN400 familiarity effect and parietal old/new effect compared to the old word. We suggested that simultaneous image and verbal encoding of picture-word elicited better and faster recollection compared to word during the memory test. Our findings also demonstrated that the picture superiority effect was related to the ability of pictures enhancing encoding and facilitating recollection.

关键词： Encoding Image retrieval Enterprise resource planning Natural languages Information retrieval Image coding Electrodes Information science Intelligent systems linear predictive coding

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Voice-based gender identification via multiresolution frame classification of spectro-temporal maps

Voice-based gender identification via multiresolution frame ...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： M. Abdollahi E. Valavi H. Ahmadi Noubari Electrical and Computer Engineering Department University of Tehran Tehran Iran University of British Columbia Vancouver Canada

This paper presents a novel approach to gender identification based on adaptive multiresolution (MR) classification of spectro-temporal maps. The images of speech signals in this work are mainly provided by auditory inspired spectro-temporal representations: mel-spemelctrogram, cochleagram and auditory spectrogram. The 2-D representation of a segment of an utterance is used as the input to the system. The system adds MR decomposition in front of a generic classifier consisting of feature extraction and classification in each MR subspace, finally combined into a global decision using a weighting algorithm. It has been shown that the accuracy of the proposed method, by rising up to 99%, significantly outperforms the accuracy of most of other common algorithms which combine pitch and acoustical features for gender identification.

关键词： Signal resolution Signal processing algorithms Automatic speech recognition linear predictive coding Neural networks Spectrogram Image segmentation Feature extraction Uncertainty Classification algorithms

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A hybrid approach for compressive neural activity detection with functional MR images

A hybrid approach for compressive neural activity detection ...

引用

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Chuan Li Qi Hao Weihong Guo Fei Hu Department of Electrical and Computer Engineering University of Alabama Tuscaloosa AL USA Department of Mathematics Case Western Reserve University Cleveland OH USA

In this paper, we present a framework for neural activity detection using fMRI data, based on both statistical data analysis (data-driven) and graphical information modeling (model-based). The data-driven approaches do rough prediction when an extraordinary amount of neural activities arise. By proper exploration of spatial, temporal, inter-subject correlations, the model-based approaches can provide more insights to details, and physiological meaning from high data volume, low signal-to-noise ratio (SNR) fMRI measurements. Through temporal cluster analysis (TCA), matched filtering, linear predictive coding (LPC), and variational Bayesian Gaussian mixture modeling (VBGMM), the temporal fMRI signals are converted into event prototypes associated with three neural statuses: activation, deactivation, and normality. As a result, the high volume fMRI data generated from multiple subjects can be statistically modeled as coupled finite-state sequences. Based on the graphical-model representation, the neural activities captured through fMRI can be classified and detected at reduced computational cost. The whole framework consists of three components: 1) image enhancement, event prediction and capture; 2) event feature extraction and modeling; and 3) graphical model based Bayesian inference. The experiment results demonstrate the advantages of the proposed hybrid, compressive signal processing approach in terms of computational cost and robustness against inter-subject variability as well as various artifacts.

关键词： Image coding linear predictive coding Bayesian methods predictive models Computational efficiency Data analysis Signal to noise ratio Volume measurement Signal analysis Nonlinear filters

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Kalman fitler with phase spectrum compensation algorithm for speech enhancement

Kalman fitler with phase spectrum compensation algorithm for...

引用

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

作者： Stephen So Kamil K. Wojcicki James G. Lyons Anthony P. Stark Kuldip K. Paliwal Signal Processing Laboratory Griffith School of Engineering Griffith University Brisbane QLD Australia Signal Processing Laboratory Griffith School of Engineering Griffith University Brisbane QLD Australia

In this paper, we propose to combine the Kalman filter with a recent speech enhancement technique, called the phase spectrum compensation procedure, or PSC. More specifically, we apply the PSC technique to initialise the Kalman filter, whereby PSC is used to clean the noisy speech prior to LPC estimation for the Kalman recursion. We refer to the combined technique as the Kalman-PSC filter. Using an objective speech quality measure, formal subjective listening tests and spectrogram analysis, we show that the proposed method results in improved speech quality.

关键词： Kalman filters Speech enhancement linear predictive coding Signal to noise ratio Speech analysis Speech processing Signal processing algorithms Recursive estimation Spectrogram Iterative methods

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Bandwidth Extension for China AVS-M standard

Bandwidth Extension for China AVS-M standard

引用

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

作者： Jie Zhan Kihyun Choo Eunmi Oh Samsung Electronics Company Limited Yongin si Gyeonggi South Korea

We proposed a new frequency domain bandwidth extension (BWE) technology. In the new technology, FFT based frequency domain gain shaping combined with linear prediction coding (LPC) based spectral envelope shaping is used for generating high frequency signals. To preserve the amount of noise component in the reconstructed band, gain reduction controlled by spectrum flatness measurement (SFM) is employed. Subjective testing results show that the presented technology exhibits a comparable performance compared to 3GPP AMR-WB+ with the same bit-rate in the framework of audio video coding of China standard (AVS) Part 10 - mobile speech and audio Codec. This technology has been formally adopted as the artificial high band coding module in AVS P10.

关键词： Bandwidth Frequency domain analysis linear predictive coding Signal generators Noise reduction Noise shaping Gain measurement Noise measurement Testing Video coding

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Improvement of speech enhancement techniques for robust speaker identification in noise

Improvement of speech enhancement techniques for robust spea...

引用

International Conference on Computer and Information Technology (ICCIT)

作者： Md. Rabiul Islam Md. Fayzur Rahman Muhammad Abdul Goffar Khan Department of Computer Science & Engineering Rajshahi University of Engineering & Technology Rajshahi Bangladesh Department of Electrical & Electronic Engineering Rajshahi University of Engineering & Technology Rajshahi Bangladesh Department of Electrical & Electronic Engineering Rajshahi University of Engineering & Technology Bangladesh

This paper presents an approach of speech enhancement techniques to improve the performance of the robust speaker identification under noisy environments. Start-end points detection, silence part removal, frame segmentation and windowing technique have been used to pre-process and Wiener filter has been used to remove the silence parts from the speech utterances. To extract the features from the speech various speech parameterization techniques that is LPC, LPCC, RCC, MFCC, ¿MFCC and ¿¿MFCC have been simulated. Finally, to measure the performance of the proposed speech enhancement techniques, genetic algorithm has been used as a classifier for the noise robust automated speaker identification system and various experiments have performed on genetic algorithm to select the optimum parameters. According to the NOIZEOUS speech database, the highest identification rate of 70.31 [%] for text-dependent and of 61.26 [%] for text-independent speaker identification system have been achieved.

关键词： Speech enhancement Noise robustness Working environment noise Genetic algorithms Wiener filter Feature extraction linear predictive coding Mel frequency cepstral coefficient Noise measurement Performance evaluation

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Noise tolerance improvement of the linear Periodic Model reference adaptive control using vigorous probing

Noise tolerance improvement of the Linear Periodic Model ref...

引用

IEEE International Conference on Electro-Information Technology

作者： Naghmeh Mansouri Madjid Fathi Department of Electrical and Computer Engineering University of Waterloo Waterloo Canada Department of Electrical and Computer Engineering University of Siegen Siegen Germany

The use of a linear periodic controller (LPC) has been proposed as a new approach in the field of model reference adaptive control. The resulting controller can handle rapid changes in plant parameters, and it provides smooth transient behavior for a closed-loop system. Moreover, the LPC generates control signals, which are modes in size when measured using the infinity norm. Although the LPC has these advantages, it suffers from poor noise tolerance. The smaller the sampling time is the less noise tolerant the controller is. In this work, to alleviate this drawback, we apply a probing signal with a larger size. The probing size is inversely proportional to the sampling time. The proposed method has significantly better noise rejection but larger control signal.

关键词： Adaptive control linear predictive coding Sampling methods Control systems Size control Parameter estimation Computer science Signal generators Size measurement H infinity control

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Speech Recognition Using Neural Networks

Speech Recognition Using Neural Networks

引用

International Conference on Signal Processing Systems, ICSPS

作者： T. Lalith Kumar T. Kishore Kumar K. Soundar Rajan SVIST Kadapa India National Institute of Technology Warangal India JNTU Anantapur India

ISBN: (纸本)9781424442133

Speech processing has been an active area for several decades with a wide variety of applications ranging from communications to automatic reading machines. There are many speech recognition techniques, which are based on statistical techniques as well as neural networks. The present work investigates the feasibility of two approaches for solving the problem using neural networks.

关键词： Speech recognition Neural networks Iron Recurrent neural networks Feature extraction linear predictive coding Cepstrum Pattern recognition Sequences Signal processing

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Locality preserving constraints for super-resolution with neighbor embedding

Locality preserving constraints for super-resolution with ne...

引用

IEEE International Conference on Image Processing

作者： Bo Li Hong Chang Shiguang Shan Xilin Chen School of Computer Science and Technology Harbin Institute of Technology Harbin China Chinese Academy of Sciences Beijing Beijing CN

In this paper, we revisit the manifold assumption which has been widely adopted in the learning-based image super-resolution. The assumption states that point-pairs from the high-resolution manifold share the local geometry with the corresponding low-resolution manifold. However, the assumption does not hold always, since the one-to-multiple mapping from LR to HR makes neighbor reconstruction ambiguous and results in blurring and artifacts. To minimize the ambiguous, we utilize Locality Preserving Constraints (LPC) to avoid confusions through emphasizing the consistency of localities on both manifolds explicitly. The LPC are combined with a MAP framework, and realized by building a set of cell-pairs on the coupled manifolds. Finally, we propose an energy minimization algorithm for the MAP with LPC which can reconstruct high quality images compared with previous methods. Experimental results show the effectiveness of our method.

关键词： Strontium Image reconstruction linear predictive coding Spatial resolution Image resolution Human resource management Geometry Energy resolution Computer science Information processing

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