Parametrical patterns of voices in forensic applications by W. MAJEWSKI, Cz. BASZTURA

“…These sets contain graphical patterns obtained from parameter extraction in the time-domain, frequency-domain and LPC (Linear Predictive Coding). In comparison to classical spectrograms, the parametrical patterns permit a better adaptation to specific speech signals that are available in forensic applications. …”
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Top-down prediction signals from the medial prefrontal cortex govern auditory cortex prediction errors by Adam Hockley, Laura H. Bohórquez, Manuel S. Malmierca

“…Summary: Under the predictive coding framework, the brain generates a model of the environment based on previous experiences. …”
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Bi-Modal Bi-Task Emotion Recognition Based on Transformer Architecture by Yu Song, Qi Zhou

“…On one hand, unsupervised contrastive predictive coding is used to extract denser features from the data while preserving self-information and context-related information. …”
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Auditory cortex neurons that encode negative prediction errors respond to omissions of sounds in a predictable sequence. by Amit Yaron, Tomoyo Shiramatsu-Isoguchi, Felix B Kern, Kenichi Ohki, Hirokazu Takahashi, Zenas C Chao

“…Predictive coding posits the brain predicts incoming sensory information and signals a positive prediction error when the actual input exceeds what was predicted, and a negative prediction error when it falls short of the prediction. …”
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Identifikasi Emosi Manusia Berdasarkan Ucapan Menggunakan Metode Ekstraksi Ciri LPC dan Metode Euclidean Distance by Siti Helmiyah, Imam Riadi, Rusydi Umar, Abdullah Hanif, Anton Yudhana, Abdul Fadlil

“…Karakteristik emosional adalah fitur yang terdapat dalam ucapan yang membawa ciri-ciri dari emosi pembicara. Linear Predictive Coding (LPC) adalah sebuah metode untuk mengekstraksi ciri dalam pemrosesan sinyal. …”
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Estimating the active space of male koala bellows: propagation of cues to size and identity in a Eucalyptus forest. by Benjamin D Charlton, David Reby, William A H Ellis, Jacqui Brumm, W Tecumseh Fitch

“…Our results show that the formant frequencies of bellows derived from Linear Predictive Coding can be used to classify calls to male koalas over distances of 1-50 m. …”
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Modelling trial-by-trial changes in the mismatch negativity. by Falk Lieder, Jean Daunizeau, Marta I Garrido, Karl J Friston, Klaas E Stephan

“…Three of these theories (predictive coding, model adjustment, and novelty detection) were formalized by linking the MMN to different manifestations of the same computational mechanism: approximate Bayesian inference according to the free-energy principle. …”
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Forecast Padding Enhances Accuracy and Robustness of EEG-Phase-Synchronized TMS by Yu-Cheng Chang, Pin-Hsuan Chao, Yan-Ming Kuan, Chiu-Jung Huang, Li-Fen Chen, Wei-Chung Mao, Tung-Ping Su, Sin-Horng Chen, Chun-Shu Wei

“…These challenges arise from the vulnerability of existing algorithms to filter edge effects. Inspired by predictive coding theory in neuroscience, we propose a novel signal padding method (forecast padding) to mitigate the filter edge effect. …”
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New methods, old questions: advancing the study of unconscious perception by Mikel Jimenez, Antonio Prieto, Pedro R. Montoro, José Antonio Hinojosa, José Antonio Hinojosa, José Antonio Hinojosa, Markus Kiefer

“…Finally, we emphasize the need for brain-based approaches to unconscious perception and discussed some promising studies in this area, while also highlighting the role of individual differences and alternative frameworks such as predictive coding and active inference views in future research. …”
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Speech Databases, Speech Features, and Classifiers in Speech Emotion Recognition: A Review by G. H. Mohmad Dar, Radhakrishnan Delhibabu

“…It has been done in the past using low-level descriptors (LLDs) like Mel-Frequency Cepstral Coefficients (MFCCs), linear predictive coding (LPC), and pitch-based features in methods like Support Vector Machines (SVM), Random Forests (RF), and Gaussian Mixture Models (GMM). …”
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Suboptimal but intact integration of Bayesian components during perceptual decision-making in autism by Laurina Fazioli, Bat-Sheva Hadad, Rachel N. Denison, Amit Yashar

“…This hypothesis has gained momentum in recent years, partly because it can be implemented both at the computational level, as in Bayesian perception, and at the level of canonical neural microcircuitry, as in predictive coding. However, empirical investigations have yielded conflicting results with evidence remaining limited. …”
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Attention is required for canonical brain signature of prediction error despite early encoding of the stimuli. by Alie G Male, Robert P O'Shea

“…Prediction error is a basic component of predictive-coding theory of brain processing. According to the theory, each stage of brain processing of sensory information generates a model of the current sensory input; subsequent input is compared against the model and only if there is a mismatch, a prediction error, is further processing performed. …”
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Entropy of Neuronal Spike Patterns by Artur Luczak

“…It focuses especially on studies on critical dynamics in neural networks and the relation of entropy to predictive coding and cortical communication. We highlight the necessity of expanding entropy measures from single neurons to encompass multi-neuronal activity patterns, as cortical circuits communicate through coordinated spatiotemporal activity patterns, called neuronal packets. …”
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Increased face perception in individuals at clinical high-risk for psychosis: mechanisms, sex differences, and clinical correlates by Tanya Tran, Brian P. Keane, Judy L. Thompson, Ben Robinson, Joshua Kenney, Trevor F. Williams, James A. Waltz, Jason A. Levin, Eren Kafadar, James M. Gold, Jason Schiffman, Lauren M. Ellman, Elaine F. Walker, Gregory P. Strauss, Vijay A. Mittal, Richard E. Zinbarg, Philip R. Corlett, Albert R. Powers, Scott W. Woods, Steven M. Silverstein

“…We discuss the findings in terms of multiple perspectives, including changes in perceptual sensitivity, predictive coding, and perceptual organization.…”
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Analysis of Rehabilitation Occupational Therapy Techniques Based on Instrumental Music Chinese Tonal Language Spectrogram Analysis by Ying Liao

“…Tone and clear tone training were achieved by linear predictive coding technique (LPC) and autocorrelation function. …”
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Characteristics of motor resonance predict the pattern of flash-lag effects for biological motion. by Klaus Kessler, Lucy Gordon, Kari Cessford, Martin Lages

“…Our results suggest that predictive coding within the sensorimotor system alone cannot explain the FLE. …”
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Characterization and whole-genome sequencing data of a highly pathogenic group B Streptococcus strain related to stillbirthGenBank by Jing Wang, Jing Chen, Gaoying Wang, Ruirui Dong, Jianyi Gao, Rong Wang, Ling Li, Huan Huang, Wenqing Yuan, Xiaoxue Tian, Junfeng Bao, Ting Zhang

“…The whole genome sequence contained 2256 predicted coding sequences, including 21 ribosomal RNA (rRNA), 81 transfer RNA (tRNA), and 24 small RNAs (sRNAs). …”
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Experimental study on natural circulation cooling system for core catcher with downward-facing heating channel by Seokgyu Jeong, Byeonghee Lee, Jun-young Kang, Seong Ho Hong, Chang Wan Kang, Jin Hyeok Kim

“…The experimental results and prediction code have potential applications in future PECS analyses. …”
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The metagenomic landscape of a high‐altitude geothermal spring in Tajikistan reveals a novel Desulfurococcaceae member, Zestomicrobium tamdykulense gen. nov., sp. nov by Munavvara Dzhuraeva, Khursheda Bobodzhanova, Nils‐Kåre Birkeland

“…MAG002 consisted of 1.3 Mbp, distributed into 48 contigs with 1504 predicted coding sequences, had an average GC content of 41.3%, a completeness and contamination rate of 98.7% and 2.6%, respectively, and branched phylogenetically between the Ignisphaera and Zestosphaera lineages. …”
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ANALYSE ACOUSTIQUE MULTIVARIABLE APPLIQUÉE À LA RECONNAISSANCE DES CONSONNES EMPHATIQUES DE L’ARABE STANDARD by Mahraz Kabache, Mhania GUERTI

“…Nous avons analysé le corpus d’apprentissage et le comus de test par les techniques PLP (Perceptual Linear Prediction), RASTA-PLP (RelAtive SpecTrAlPerceptual Linear Prediction), LPC (Lincar Predictive Coding), l’énergie et le TPZ. Pour atteindre cet objectif, nous avons utilisé les Réseaux de Neurones Multicouches (Multi Layer Perceptrons : MLP) comme technique de reconnaissance de formes. …”
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