GOLF: A Singing Voice Synthesiser with Glottal Flow Wavetables and LPC Filters by Chin-Yun Yu, György Fazekas

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Detecting the contribution of V5/MT in reading, reading-related tasks, eye-movements and EEG-oscillations in children and adolescents with developmental dyslexia via high-definitio... by Federica Somma, Giulia Lazzaro, Samy Rima, Kristina Rainich, Christa Müller-Axt, Michael Christoph Schmid, Stefano Vicari, Katharina von Kriegstein, Deny Menghini

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Enhancing Learning-Based Cross-Modality Prediction for Lossless Medical Imaging Compression by Daniel S. Nicolau, Lucas A. Thomaz, Luis M. N. Tavora, Sergio M. M. Faria

Subjects: “…Generative predictive coding…”
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Dissociated neuronal cultures as model systems for self-organized prediction by Amit Yaron, Zhuo Zhang, Dai Akita, Tomoyo Isoguchi Shiramatsu, Zenas C. Chao, Hirokazu Takahashi, Hirokazu Takahashi

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Autism Spectrum Disorders as Seen by a Clinical Psychologist: Case Report by Eva Horáčková

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DNAE-GAN: Noise-free acoustic signal generator by integrating autoencoder and generative adversarial network by Ping-Huan Kuo, Ssu-Ting Lin, Jun Hu

“…Linear predictive coding is an extremely effective voice generation method that operates through simple process. …”
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Prediction Errors but Not Sharpened Signals Simulate Multivoxel fMRI Patterns during Speech Perception. by Helen Blank, Matthew H Davis

“…Traditional models suggest that expected features of the speech input are enhanced or sharpened via interactive activation (Sharpened Signals). Conversely, Predictive Coding suggests that expected features are suppressed so that unexpected features of the speech input (Prediction Errors) are processed further. …”
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Induced zero-phase synchronization as a potential neural code for optimized visuomotor integration by Kirstin-Friederike Heise, Geneviève Albouy, Nina Dolfen, Ronald Peeters, Dante Mantini, Stephan P. Swinnen

“…This optimized information integration (‘predictive coding') results in a global behavioral advantage of anticipated action in the presence of uncertainty. …”
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Computer-Visualized Sound Parameter Analysis Method and Its Application in Vocal Music Teaching by Zhenming Yu

“…For frames that have detected a shock signal, frequency-domain parametric differential predictive coding can be used like temporal noise shaping (TNS) techniques. …”
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Playing With Spatial Frames: Altering the Body Matrix Through Multisensory Egocentric and Allocentric Body Illusions by Giulia Brizzi, Giuseppe Riva

“…Data revealed two main findings: Even though embodiment was significantly enhanced when participants engaged with a virtual body from a first-person viewpoint, both egocentric and allocentric perspectives influenced body size estimation (BSE), suggesting that both spatial perspectives critically form and sustain body self-perception. We discussed predictive coding theory to explain spatial perspective influence on body experience, highlighting the potential therapeutic benefits of incorporating first and third-person perspectives on body illusions (BIs) for more effective interventions targeting body-related disturbances.…”
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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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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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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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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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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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