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Most published Xplore authors for Spectrogram

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Xplore Articles related to Spectrogram

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A short way to compute WT from STFT

1996 8th European Signal Processing Conference (EUSIPCO 1996), 1996

Wavelet transforms are often related to Fourier transforms due to their similitude and to underline some applications where wavelet theory should be superior over Fourier analysis. Many researchers have identified that the wavelet transform (WT) maps a function analogous to the short-time Fourier transform (STFT) that has a changing size. The increase numbers of FFT dedicated devices and of previous ...


ViSQOL: The Virtual Speech Quality Objective Listener

IWAENC 2012; International Workshop on Acoustic Signal Enhancement, 2012

A model of human speech quality perception has been developed to provide an objective measure for predicting subjective quality assessments. The Virtual Speech Quality Objective Listener (ViSQOL) model is a signal based full reference metric that uses a spectro-temporal measure of similarity between a reference and a test speech signal. This paper describes the algorithm and compares the results with ...


Achieving imperceptibility in all-pass watermarking of speech signals

2000 10th European Signal Processing Conference, 2000

A watermark is an ideally imperceptible signal embedded into another signal for carrying extra information. In this paper, we investigate the imperceptibility problem of a watermarking system developed by Yardimci, et. al. [1] and suggest two approaches in order to eliminate it. The system in question uses all-pass filters to embed data into a speech signal and introduces some artifacts ...


Heart rate variability analysis in clinical pharmacology by joint time-frequency methods

Computers in Cardiology 1999. Vol.26 (Cat. No.99CH37004), 1999

We are applying heart rate variability (HRV) analysis in clinical pharmacology to investigate the autonomic nervous system's (ANS) response to drug pharmacodynamics. Here, the HRV time series under investigation are usually nonstationary, thus not suitable for spectral analysis by Fourier- or autoregressive (AR) methods. We designed a PC based system with LabView/sup TM/ for HRV analysis including spectral analysis in ...


Spectral perturbations reflect the depth of cognitive processing for brain-computer interface systems

2015 E-Health and Bioengineering Conference (EHB), 2015

Current trends and needs in Human-Computer Interaction (HCI) are rapidly increasing; however the possibility to estimate user's state remains unchanged. The need to predict user's state and intentions, and to adapt accordingly in real time to her/his decisions could bring benefits in this dual interaction. Following this purpose, we evaluate the state of a user by means of cognitive processing. ...


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Educational Resources on Spectrogram

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IEEE-USA E-Books

  • A short way to compute WT from STFT

    Wavelet transforms are often related to Fourier transforms due to their similitude and to underline some applications where wavelet theory should be superior over Fourier analysis. Many researchers have identified that the wavelet transform (WT) maps a function analogous to the short-time Fourier transform (STFT) that has a changing size. The increase numbers of FFT dedicated devices and of previous STFT databases request for a new approach between STFT and WT. This is one of the goals of the present paper. It also suggests a possible relation between the energetic representation of these transforms. The scalogram yields a graphical representation of the signal's energy distribute over the time-scale plane, as a spectrogram distributes the energy over the time-frequency plane. So, an interesting problem, the mapping between the spectrogram and the scalogram is derived. Few examples and some computational considerations are also provided.

  • ViSQOL: The Virtual Speech Quality Objective Listener

    A model of human speech quality perception has been developed to provide an objective measure for predicting subjective quality assessments. The Virtual Speech Quality Objective Listener (ViSQOL) model is a signal based full reference metric that uses a spectro-temporal measure of similarity between a reference and a test speech signal. This paper describes the algorithm and compares the results with PESQ for common problems in VoIP: clock drift, associated time warping and jitter. The results indicate that ViSQOL is less prone to underestimation of speech quality in both scenarios than the ITU standard.

  • Achieving imperceptibility in all-pass watermarking of speech signals

    A watermark is an ideally imperceptible signal embedded into another signal for carrying extra information. In this paper, we investigate the imperceptibility problem of a watermarking system developed by Yardimci, et. al. [1] and suggest two approaches in order to eliminate it. The system in question uses all-pass filters to embed data into a speech signal and introduces some artifacts in doing so. The two approaches we suggest in this paper remove these artifacts while keeping the watermark detectable and all the advantages of the method.

  • Heart rate variability analysis in clinical pharmacology by joint time-frequency methods

    We are applying heart rate variability (HRV) analysis in clinical pharmacology to investigate the autonomic nervous system's (ANS) response to drug pharmacodynamics. Here, the HRV time series under investigation are usually nonstationary, thus not suitable for spectral analysis by Fourier- or autoregressive (AR) methods. We designed a PC based system with LabView/sup TM/ for HRV analysis including spectral analysis in the joint time-frequency (JTF) domain that is suitable for nonstationary data. We found a 2nd to 3rd order Gabor spectrogram useful for the analysis of HRV data. We would like to promote JTF analysis of heart rate variability in clinical pharmacology to gain insight into the complex ANS regulation and ANS response to drugs. There is however need for an extension of the current 1996 guidelines for HRV analysis to cover joint time-frequency methods in order to get standardization.

  • Spectral perturbations reflect the depth of cognitive processing for brain-computer interface systems

    Current trends and needs in Human-Computer Interaction (HCI) are rapidly increasing; however the possibility to estimate user's state remains unchanged. The need to predict user's state and intentions, and to adapt accordingly in real time to her/his decisions could bring benefits in this dual interaction. Following this purpose, we evaluate the state of a user by means of cognitive processing. In this way, we study the feasibility of detecting the level of cognitive processing, in order to be used for controlling or modifying the interface of a HCI application, such as, an information seeking application. We study this feasibility by analyzing the event-related spectral perturbations evoked by two levels of cognitive processing.

  • Reducing false alarm risk in transient signal classification

    We address the problem of autonomous decision making in classification of radioastronomy transient signals on spectrograms from spacecraft. It is known that the assessment of the decision process can be divided into acceptance of the classification, instant rejection of the current signal classification, or rejection of the entire classifier model. We propose to combine prediction and classification with a double architecture of neural networks to optimize a decision while minimizing the false alarm risk. We suggest a method to derive the input and output windows for the predictor network. Results on real data from URAP experiment aboard the Ulysses spacecraft show that this scheme is tractable and effective.

  • Range and depth estimation of bowhead whale calls in the Arctic using a single hydrophone

    Bowhead whales generate low-frequency vocalizations in shallow-water Arctic environments. The propagation of these sounds is adequately described by normal mode theory. Indeed, at low-frequency the environment acts as a dispersive waveguide. The propagated signal can be modeled by a sum of normal modes, and the source position can be inferred from the different modal arrivals. However, this requires to estimate the modes from the received signal. Traditionally, modal arrivals are separated using synchronized hydrophone arrays. Here a nonlinear signal processing method called warping is used to filter the modes on just a single hydrophone. Once modes are filtered, the source depth and range can be estimated using classical Matched Mode Processing. This methodology is illustrated on an experimental bowhead whale vocalization recorded in the Beaufort Sea. Because seabed properties are not well known, it is necessary to jointly perform source localization and geacoustic inversion.

  • GLCM texture classification for EEG spectrogram image

    Over the past century, time based and frequency based is used for analyzing Electroencephalography (EEG) signals. EEG is a scientific tool for measure signal from human brain. This paper proposes a time-frequency approach or spectrogram image processing technique for analyzing EEG signals. Gray Level Co-occurrence Matrix (GLCM) texture feature were extracted from spectrogram image and then Principal components analysis (PCA) was employed to reduce the feature dimension. The purpose of this paper is to classify EEG spectrogram image using k-nearest neighbor algorithm (kNN) classifier. The result shows classification rate was 70.83% for EEG spectrogram image.

  • Function and speed portability of audio fingerprint extraction across computing platforms

    Audio Fingerprinting (AFP) is a technology, which requests huge computing power for responsiveness, accuracy, and robustness to noise. In this study, we make efforts to improve the computing speed of fingerprint extraction in AFP system by parallelism language OpenCL. Especially, we also explore the function and speed portability across different platform. The experimental results show that the portability of function is trivial by syntax check and utilizes conservative syntax for different compilers, such as Microsoft Visual Studio and Linux GCC. On the other hand, the speed portability requests much works for optimization of different sub modules for the specified platform.

  • Modelling the decay of piano sounds

    We investigate piano acoustics and compare the theoretical temporal decay of individual partials to recordings of real-world piano notes from the RWC Music Database. We first describe the theory behind double decay and beats, known phenomena caused by the interaction between strings and soundboard. Then we fit the decay of the first 30 partials to a standard linear model and two physically-motivated non-linear models that take into account the coupling of strings and soundboard. We show that the use of non-linear models provides a better fit to the data. We use these estimated decay rates to parameterise the characteristic decay response (decay rates along frequencies) of the piano under investigation. The results also show that dynamics have no significant effect on the decay rate.



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