scholarly journals A Multi-category Task for Bitrate Interval Prediction with the Target Perceptual Quality

2021 ◽  
Vol 15 (12) ◽  
Keyword(s):  
Perceptual Quality ◽  
Interval Prediction

Non-intrusive Estimation of Noisiness as a Perceptual Quality Dimension of Transmitted Speech

2016 ◽  
Author(s):  
Friedemann Köster ◽  
Gabriel Mittag ◽  
Tim Polzehl ◽  
Sebastian Möller
Keyword(s):  
Perceptual Quality ◽  
Quality Dimension

Singular Values Decomposition and Lifting Wavelet Transform for Speech Signal Embedding into Digital Image

2019 ◽  
Vol 12 (2) ◽  
pp. 138-151
Author(s):  
Mourad Talbi ◽  
Med Salim Bouhlel
Keyword(s):  
Wavelet Transform ◽  
Speech Signal ◽  
Signal To Noise Ratio ◽  
Perceptual Quality ◽  
Lifting Wavelet Transform ◽  
Signal To Noise ◽  
Perceptual Evaluation ◽  
Lifting Wavelet ◽  
Noise Ratio

Background: In this paper, we propose a secure image watermarking technique which is applied to grayscale and color images. It consists in applying the SVD (Singular Value Decomposition) in the Lifting Wavelet Transform domain for embedding a speech image (the watermark) into the host image. Methods: It also uses signature in the embedding and extraction steps. Its performance is justified by the computation of PSNR (Pick Signal to Noise Ratio), SSIM (Structural Similarity), SNR (Signal to Noise Ratio), SegSNR (Segmental SNR) and PESQ (Perceptual Evaluation Speech Quality). Results: The PSNR and SSIM are used for evaluating the perceptual quality of the watermarked image compared to the original image. The SNR, SegSNR and PESQ are used for evaluating the perceptual quality of the reconstructed or extracted speech signal compared to the original speech signal. Conclusion: The Results obtained from computation of PSNR, SSIM, SNR, SegSNR and PESQ show the performance of the proposed technique.

Interval prediction algorithm for human facial skin state based on multi-indicators synthesis

2020 ◽  
Author(s):  
Shihai Wang ◽  
Huiyan Zhang ◽  
Xiaoyi Wang ◽  
Tingting Wang ◽  
Yinmao Dong ◽  
...  
Keyword(s):  
Prediction Algorithm ◽  
Facial Skin ◽  
Interval Prediction

A new interval prediction methodology for short-term electric load forecasting based on pattern recognition

2021 ◽  
Vol 297 ◽  
pp. 117173
Author(s):  
Xavier Serrano-Guerrero ◽  
Marco Briceño-León ◽  
Jean-Michel Clairand ◽  
Guillermo Escrivá-Escrivá
Keyword(s):  
Pattern Recognition ◽  
Load Forecasting ◽  
Electric Load ◽  
Short Term ◽  
Interval Prediction ◽  
Electric Load Forecasting

Perceptual Quality Assessment of Compressed Vibrotactile Signals through Comparative Judgment

2021 ◽  
pp. 1-1
Author(s):  
Evelyn Muschter ◽  
Andreas Noll ◽  
Jinting Zhao ◽  
Rania Hassen ◽  
Matti Strese ◽  
...  
Keyword(s):  
Quality Assessment ◽  
Comparative Judgment ◽  
Perceptual Quality

scholarly journals A hybrid deep interval prediction model for wind speed forecasting

IEEE Access ◽  
2020 ◽  
pp. 1-1
Author(s):  
Yuhong Li ◽  
Xinbiao Chen ◽  
Chaoshun Li ◽  
Geng Tang ◽  
Zhenhao Gan ◽  
...  
Keyword(s):  
Wind Speed ◽  
Prediction Model ◽  
Wind Speed Forecasting ◽  
Interval Prediction

Cents versus scale steps: Can we tell the difference between major and minor thirds?

2021 ◽  
pp. 030573562098727
Author(s):  
Pedro Neto ◽  
Patricia M Vanzella
Keyword(s):  
Auditory Processing ◽  
Perceptual Quality ◽  
Chromatic Scale ◽  
Major Scale ◽  
Accurate Performance ◽  
The Difference ◽  
Scale Step ◽  
Frequency Ratios ◽  
Tonal Context

We report an experiment in which participants ( N = 368) were asked to differentiate between major and minor thirds. These intervals could either be formed by diatonic tones from the C major scale (tonal condition) or by a subset of tones from the chromatic scale (atonal condition). We hypothesized that in the tonal condition intervals would be perceived as a function of scale step distances, which we defined as the number of diatonic leaps between two notes of a given music scale. In the atonal condition, we hypothesized that intervals would be perceived as a function of cents. If our hypotheses were supported, we should verify a less accurate performance in the tonal condition, where scale step distances are the same between major and minor thirds. The data corroborated our hypotheses, and we suggest that acoustic measurements of intervallic distances (i.e., frequency ratios and cents) are not optimal when it comes to describing the perceptual quality of intervals in a tonal context. Finally, our research points to the possibility that, in comparison with previous models, scale steps and cents might better capture the notion of global versus local instances of auditory processing.

scholarly journals Interval prediction method based on Long-Short Term Memory networks for system integrated of hydro, wind and solar power

2019 ◽  
Vol 158 ◽  
pp. 6176-6182 ◽  
Author(s):  
Zhendong Zhang ◽  
Hui Qin ◽  
Liqiang Yao ◽  
Jiantao Lu ◽  
Liangge Cheng
Keyword(s):  
Solar Power ◽  
Short Term Memory ◽  
Prediction Method ◽  
Short Term ◽  
Term Memory ◽  
Interval Prediction ◽  
Long Short Term Memory

Time-series interval prediction under uncertainty using modified double multiplicative neuron network

2021 ◽  
pp. 115478
Author(s):  
Wenping Pan ◽  
Liuyang Feng ◽  
Limao Zhang ◽  
Liang Cai ◽  
Chunlin Shen
Keyword(s):  
Time Series ◽  
Neuron Network ◽  
Interval Prediction
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