Recurrent Neural Network-Based Dictionary Learning for Compressive Speech Sensing
Sign Up to like & getrecommendations! Published in 2019 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-019-01058-5
Abstract: We propose a novel dictionary learning technique for compressive sensing of speech signals based on the recurrent neural network. First, we exploit the recurrent neural network to solve an $$\ell _{0}$$ℓ0-norm optimization problem based on… read more here.
Keywords: neural network; dictionary learning; speech; recurrent neural ... See more keywords
Linear prediction residual features for automatic speaker verification anti-spoofing
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-5181-0
Abstract: Automatic speaker verification (ASV) systems are highly vulnerable against spoofing attacks. Anti-spoofing, determining whether a speech signal is natural/genuine or spoofed, is very important for improving the reliability of the ASV systems. Spoofing attacks using… read more here.
Keywords: anti spoofing; linear prediction; automatic speaker; speaker verification ... See more keywords
The linear prediction vector quantization for hyperspectral image compression
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-6724-8
Abstract: In this paper, a hyperspectral image compression method is proposed. It is based on spectral clustering, linear prediction and the vector quantization (VQ). Since the hyperspectral image has stronger spectral correlation than spatial correlation, the… read more here.
Keywords: linear prediction; hyperspectral image; prediction vector; prediction ... See more keywords
A Nonparametric Repetitive Sampling DEWMA Control Chart Based on Linear Prediction
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2989132
Abstract: Distribution-free control charts can be useful in statistical process control (SPC) when only limited or no information about the distribution of the data of the process is available. In this paper, a linear prediction related… read more here.
Keywords: control chart; repetitive sampling; linear prediction; control ... See more keywords
Formant Tracking Using Quasi-Closed Phase Forward-Backward Linear Prediction Analysis and Deep Neural Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2021.3126280
Abstract: Formant tracking is investigated in this study by using trackers based on dynamic programming (DP) and deep neural nets (DNNs). Using the DP approach, six formant estimation methods were first compared. The six methods include… read more here.
Keywords: linear prediction; formant tracking; deep neural; quasi closed ... See more keywords
RFI Suppression Based on Linear Prediction in Synthetic Aperture Radar Data
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.3015205
Abstract: Radio frequency interference (RFI) sources pose threats to wideband synthetic aperture radar (SAR) systems and accurate SAR image interpretation. Since most of RFI sources are narrowband, notch filtering is a simple but effective method for… read more here.
Keywords: linear prediction; rfi sources; rfi; synthetic aperture ... See more keywords
Glottal Vocoding With Frequency-Warped Time-Weighted Linear Prediction
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2017.2665687
Abstract: Linear prediction (LP) is a prevalent source-filter separation method of speech production. One of the drawbacks of conventional LP-based approaches is the biasing of estimated formants by harmonic peaks. Methods such as discrete all-pole modeling… read more here.
Keywords: linear prediction; time weighted; frequency; frequency warped ... See more keywords
Online Speech Dereverberation Using Mixture of Multichannel Linear Prediction Models
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2021.3099715
Abstract: We extend the state-of-the-art online dereverberation method, online weighted prediction error (WPE), which predicts late reverberation components using a multichannel linear prediction (MCLP) filter. The multi-input/output inverse theorem states that in general such an MCLP… read more here.
Keywords: wpe; dereverberation; multichannel linear; inline formula ... See more keywords
Analysis of complex multidimensional optical spectra by linear prediction.
Sign Up to like & getrecommendations! Published in 2021 at "Optics express"
DOI: 10.1364/oe.442532
Abstract: We apply Linear Prediction from Singular Value Decomposition (LPSVD) to two-dimensional complex optical data in the time-domain to generate spectra with advantages over discrete Fourier transformation (DFT). LPSVD is a non-iterative procedure that fits time-domain… read more here.
Keywords: analysis complex; linear prediction; two dimensional; spectra ... See more keywords
Improving Accuracy and Stability of Aggregate Student Growth Measures Using Empirical Best Linear Prediction
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Educational and Behavioral Statistics"
DOI: 10.3102/10769986221101624
Abstract: Many states and school districts in the United States use standardized test scores to compute annual measures of student achievement progress and then use school-level averages of these growth measures for various reporting and diagnostic… read more here.
Keywords: linear prediction; growth; growth measures; empirical best ... See more keywords