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Features for melody spotting using hidden Markov models

Features for melody spotting using hidden Markov models

引用

International Conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Adriane Swaim Durey Mark A. Clements Center for Signal and Image Processing Geogria Institute of Technology School of Electrical and Computer Engineering Atlanta GA USA

The amount of digitized music stored on personal computers and available on the Internet is growing at a rapid rate. To address the access problem that this creates, we explore adapting HMM-based wordspotting techniques from speech recognition to create a system for melody-based retrieval of songs from a database of digitized music stored in a musically-unstructured format. In this paper, we present the construction of this melody spotter and evaluate its performance when trained under different feature vectors including a musical scale-based subset of the FFT and two Mel-scale based features. The results show the success of this system under the scale-based features when presented with both perfect melody queries and queries perturbed by minor errors.

关键词： Hidden Markov models Databases Programming Mel frequency cepstral coefficient computers Educational institutions Accuracy

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An integrated multiple-substream unequal error protection and error concealment algorithm for Internet video applications

An integrated multiple-substream unequal error protection an...

引用

IEEE International Conference on image processing

作者： Joohee Kim R.M. Mersereau Y. Altunbasak Center for Signal and Image Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA

This paper presents a coordinated multiple-substream unequal error protection and error concealment algorithm for SPIHT-coded bitstreams transmitted over lossy channels. In the proposed scheme, we divide the video sequence corresponding to a group of pictures into two sub-sequences in the temporal domain and independently encode each sub-sequence with a 3-D SPIHT algorithm to generate two independent substreams. Each substream is protected by an FEC-based unequal error protection algorithm that assigns unequal forward error correction codes for each substream with bit-plane granularity. The information that is lost during transmission for one substream is estimated at the receiver by using the correlation between the two substreams and the smoothness of the video signal. Simulation results show that the proposed multiple-substream UEP algorithm is simple, fast, and robust in hostile network conditions, and that the proposed error concealment algorithm achieves about 1-3 dB PSNR gain over the case where there is no error concealment at high packet loss rates.

关键词： Error correction codes computer errors Video sequences Streaming media Partitioning algorithms Source coding Internet Forward error correction Application software signal processing

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Subband decompositions for hyperspectral image analysis

Subband decompositions for hyperspectral image analysis

引用

Asilomar Conference on signals, Systems & computers

作者： P.S. Hong M.J.T. Smith Center for Signal and Image Processing Georgia Institute of Technology School of Electrical and Computer Engineering Atlanta GA USA

Several multidimensional filter banks are described and analyzed for the purpose of processing hyperspectral data. A new octave band directional filter bank (OBDFB) is introduced that is able to isolate directional bands in three-dimensional Fourier space. The new OBDFB is a maximally decimated exactly reconstructing representation with high computational efficiency. The OBDFB is compared with traditional octave band and uniform band decompositions with respect to compaction and feature identification for analysis.

关键词： Hyperspectral imaging image analysis Filter bank Hyperspectral sensors Frequency Hypercubes image coding Principal component analysis image segmentation Passband

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Analytical and computer model of a Doppler weather radar system

Analytical and computer model of a Doppler weather radar sys...

引用

IEEE National Conference on Radar

作者： R.K. Hersey M.A. Richards J.H. McClellan Center for Signal & Image Processing School of Electrical & Computer Engineering Georgia Institute of Technology Atlanta GA USA School of Electrical & Computer Engieering Georgia Institute of Technology Atlanta GA USA

ISBN: (纸本)078037357X

With advances in Doppler weather radar, severe storm and tornado detection has improved greatly. However, the resolution limitations of deployed radar systems can still limit severe storm detection. In the case of larger tornadoes, characteristic abrupt changes in wind direction can usually be detected between adjacent range-angle bins. However for smaller tornadoes, the rotating cell may be contained within one bin. In this case, a wind directional change cannot be detected, and the tornado may go undetected. The purpose of this research is to develop analytical and computer simulation models of typical Doppler weather radar measurements. These models can be used to determine how various factors affect the reflectivity, velocity, and spectrum width measurements that are commonly used in storm detection algorithms. The models account for convolution in azimuth due to the radar antenna pattern, convolution in range due to the radar pulse shape, randomness of the weather events and measurements, variations in the measurements between radar pulses, and the addition of noise to the measurements. Using both analytical and simulation models allows for simulated data to be generated, as well as equations that predict the behavior of the data. Therefore, the analytical and simulation models can be used to test the other's accuracy. Additionally, the analytical model can be used to create future algorithms (e.g. resolution enhancement), and the simulated data can be used as a test for these algorithms.

关键词： Analytical models Meteorological radar Antenna measurements Pulse measurements Tornadoes Radar detection Radar antennas Shape measurement Storms Doppler radar

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Error analysis of the pruned multi-angle resolution beamformer

Error analysis of the pruned multi-angle resolution beamform...

引用

IEEE Digital signal processing Workshop

作者： Yeo-Sun Yoon L.M. Kaplan J.H. McClellan Center for Signal and Image Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA CTSPS Department of Engineering Clark Atlanta University Atlanta GA USA

ISBN: (纸本)0780381165

Recently, we proposed the pruned fast beamformer that is able to detect coherent signals during beamforming. The fast beamformer is a multistage approximation to delay and sum beamforming. Using a coherent signal detector, the pruned fast beamformer is able to reduce the computational load by eliminating processing to resolve steering directions that do not contain a target-like source. This paper analyzes the performance of the detector and discusses how approximation errors in the fast beamformer effects detection performance. The results indicate that the coherence detectors is effective under the approximation errors.

关键词： Error analysis Array signal processing Sensor arrays signal processing Detectors Approximation error signal resolution signal detection Delay Performance analysis

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A study between orthogonal subspace projection and generalized likelihood ratio test in hyperspectral image analysis

A study between orthogonal subspace projection and generaliz...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Qian Du Hsuan Ren Chein-I Chang Department of Electrical Engineering and Computer Science Texas A and M University Kingsville TX USA Edgewood Chemical and Biological Center US Army MD USA Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore MD USA

Orthogonal subspace projection (OSP) and generalized likelihood ratio test (GLRT) have shown success in hyperspectral image classification. The OSP is derived by maximizing signal-to-noise ratio (SNR) resulting from a linear mixture model in which the noise is assumed to be white. On the other hand, the GLRT is formulated based on a signal detection model that can be described by a binary hypothesis testing problem. In order for the GLRT to derive an analytical form, the noise in the signal detection model is generally assumed to be white Gaussian noise. However, Gaussianity is generally not true in remotely sensed imagery. Interestingly, such assumption has not been investigated. This paper presents a comparative study between OSP and GLRT based on their assumptions. In particular, a detailed analysis of assumptions made on these two approaches is conducted through a series of computer simulations. Experimental results show that the OSP does not depend on Gaussian noise. By the contrast, the GLRT is affected by the Gaussian noise assumption. If it is violated, its performance is degraded.

关键词： Testing Hyperspectral imaging image analysis Gaussian noise signal to noise ratio Hyperspectral sensors signal detection image classification signal analysis Gaussian processes

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Melody Spotting Using Hidden Markov Models 2

Melody Spotting Using Hidden Markov Models

引用

2nd Annual International Symposium on Music Information Retrieval, ISMIR 2001

作者： Durey, Adriane Swalm Clements, Mark A. Center for Signal and Image Processing School of Electrical and Computer Engineering Georgia Institute of Technology AtlantaGA30332 United States

As we acquire more digitized copies of musical recordings, it becomes increasingly necessary to have the assistance of a computer in sorting through the information that it stores. In this paper, we propose a new system for melody-based retrieval of a song from a musical database which adapts wordspotting techniques from automatic speech recognition to create a melody spotting system in the musical domain. This system is tested using a variety of feature sets derived from raw audio data. It results in a successful proof of the melody spotting concept which offers great potential for development into a musical database capable of being queried by melody. © ISMIR 2001 - 2nd Annual International Symposium on Music Information Retrieval. All rights reserved.

关键词： Hidden Markov models

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Linear subspaces for illumination robust face recognition

Linear subspaces for illumination robust face recognition

引用

Conference on computer Vision and Pattern Recognition (CVPR)

作者： A.U. Batur M.H.I.I.I. Hayes Center for Signal and Image Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA

ISBN: (纸本)0769512720

In this paper, we present a segmented linear subspace model for face recognition that is robust under varying illumination conditions. The algorithm generalizes the 3D illumination subspace model by segmenting the image into regions that have surface normals whose directions are close to each other. This segmentation is performed using a K-means clustering algorithm and requires only a few training images under different illuminations. When the linear subspace model is applied to the segmented image, recognition is robust to attached and cast shadows, and the recognition rate is equal to that of computationally more complex systems that require constructing the 3D surface of the face.

关键词： Lighting Robustness Face recognition image segmentation image recognition Clustering algorithms Light sources signal processing image processing Shadow mapping

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Omega-k quadtree UWB SAR focusing

Omega-k quadtree UWB SAR focusing

引用

IEEE National Conference on Radar

作者： M.C. Cobb J.H. McClellan Center for Signal and Image Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA

ISBN: (纸本)0780367073

A variation on the quadtree algorithm for ultra-wideband, wide-angle (UWB-WA) SAR imaging that uses the /spl omega/-k algorithm for final stage focusing is introduced. Several signal processing techniques appropriate to the requirements of UWB-WA SAR, and that prevent errors and artifacts in the /spl omega/-k focusing are reviewed. These techniques include spatial and temporal shifts for spotlight data, elimination of ghost targets, and adjustments needed to account for the virtual sampling of the quadtree algorithm. In order to justify these techniques, a simple Fourier-based model of the imaging problem appropriate to UWB-WA SAR is presented.

关键词： signal processing algorithms Focusing Computational efficiency Iterative algorithms Approximation algorithms Apertures Robustness Approximation error signal processing image processing

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A novel approach for increasing security and data embedding capacity in images for data hiding applications

A novel approach for increasing security and data embedding ...

引用

International Conference on Information Technology: Coding and Computing (ITCC)

作者： F. Alturki R. Mersereau Department of Electrical and Computer Engineering Center of Signal and Image Processing Georgia Institute of Technology Atlanta GA USA

ISBN: (纸本)0769510620

Data hiding in multimedia is the process of secretly embedding information into data sources such as image, video, or audio signals without changing the perceptual quality of the data source. We present a novel blind data hiding technique for hiding information in still images. This technique is based on embedding the information in the transform domain, after decorrelating the samples in the spatial domain. This results in a significant increase in the number of transform coefficients that can be used to transmit the hidden information. The technique is suitable for a variety of data hiding applications such as steganography, data authentication and captioning. The technique achieves a higher and more secure data embedding rate than existing data embedding transform domain techniques developed for these particular applications.

关键词： Data security Data encapsulation Decorrelation Information security signal processing Copyright protection Steganography Frequency Quantization Application software

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