q-bio.NC

Papers

• VLMs May Not Globally Enhance Human Alignment over LLMs During Natural Reading (2026)
  Jinzhou Wu et al.
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• Misalignment Between Backpropagation and the Hierarchy of Brain Responses to Images (2026)
  Jos\'ephine Raugel et al.
  3.91
• MoDAl: Self-Supervised Neural Modality Discovery via Decorrelation for Speech Neuroprosthesis (2026)
  Yuanhao Chen et al.
  0.00
• Learning spatial hearing via innate mechanisms (2025)
  Yang Chu et al.
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• A Biologically Plausible Audio-Visual Integration Model for Continual Learning (2021)
  Wenjie Chen et al.
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• End-to-end translation of human neural activity to speech with a dual-dual generative adversarial network (2022)
  Yina Guo et al.
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• Towards Maximizing a Perceptual Sweet Spot (2022)
  Pedro Izquierdo Lehmann et al.
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• Don't stop the training: continuously-updating self-supervised algorithms best account for auditory responses in the cortex (2022)
  Pierre Orhan et al.
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• Analysis of EEG frequency bands for Envisioned Speech Recognition (2022)
  Ayush Tripathi
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• Perceptive, non-linear Speech Processing and Spiking Neural Networks (2022)
  Jean Rouat et al.
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• Predictive coding and stochastic resonance as fundamental principles of auditory perception (2022)
  Achim Schilling et al.
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• Successes and critical failures of neural networks in capturing human-like speech recognition (2023)
  Federico Adolfi et al.
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• Vehicle Noise: Comparison of Loudness Ratings in the Field and the Laboratory (2022)
  Gerard Llorach et al.
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• Predicting electrode array impedance after one month from cochlear implantation surgery (2022)
  Yousef A. Alohali et al.
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• Toward a realistic model of speech processing in the brain with self-supervised learning (2023)
  Juliette Millet et al.
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• Restoring speech intelligibility for hearing aid users with deep learning (2022)
  Peter Udo Diehl et al.
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• Deploying Enhanced Speech Feature Decreased Audio Complaints at SVT Play VOD Service (2022)
  Annika Bidner et al.
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• Low-Level Physiological Implications of End-to-End Learning of Speech Recognition (2022)
  Louise Coppieters de Gibson et al.
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• Decoding speech perception from non-invasive brain recordings (2023)
  Alexandre D\'efossez et al.
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• Longitudinal Acoustic Speech Tracking Following Pediatric Traumatic Brain Injury (2022)
  Camille Noufi et al.
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• Inner speech recognition through electroencephalographic signals (2023)
  Francesca Gasparini et al.
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• Acoustic correlates of the syllabic rhythm of speech: Modulation spectrum or local features of the temporal envelope (2023)
  Yuran Zhang et al.
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• Adaptive whitening in neural populations with gain-modulating interneurons (2025)
  Lyndon R. Duong et al.
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• Relate auditory speech to EEG by shallow-deep attention-based network (2023)
  Fan Cui et al.
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• Brain Connectivity Features-based Age Group Classification using Temporal Asynchrony Audio-Visual Integration Task (2023)
  Prerna Singh et al.
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• The neural dynamics of auditory word recognition and integration (2023)
  Jon Gauthier and Roger Levy
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• Towards personalised music-therapy; a neurocomputational modelling perspective (2023)
  Nicole Lai et al.
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• The Human Auditory System and Audio (2023)
  Milind N. Kunchur
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• Brain2Music: Reconstructing Music from Human Brain Activity (2026)
  Timo I. Denk et al.
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• Auditory Attention Decoding with Task-Related Multi-View Contrastive Learning (2023)
  Xiaoyu Chen et al.
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• Neural2Speech: A Transfer Learning Framework for Neural-Driven Speech Reconstruction (2024)
  Jiawei Li et al.
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• Do self-supervised speech and language models extract similar representations as human brain? (2024)
  Peili Chen et al.
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• Technocratic model of the human auditory system (2023)
  M. V. Semotiuk et al.
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• Speech language models lack important brain-relevant semantics (2024)
  Subba Reddy Oota et al.
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• Sigma-lognormal modeling of speech (2024)
  C. Carmona-Duarte et al.
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• A Rational Analysis of the Speech-to-Song Illusion (2024)
  Raja Marjieh et al.
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• Human Brain Exhibits Distinct Patterns When Listening to Fake Versus Real Audio: Preliminary Evidence (2024)
  Mahsa Salehi et al.
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• Towards Decoding Brain Activity During Passive Listening of Speech (2025)
  Mil\'an Andr\'as Fodor and Tam\'as G\'abor Csap\'o and Frigyes Viktor Arthur
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• Speaker-Independent Dysarthria Severity Classification using Self-Supervised Transformers and Multi-Task Learning (2024)
  Lauren Stumpf and Balasundaram Kadirvelu and Sigourney Waibel and A. Aldo Faisal
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• Towards auditory attention decoding with noise-tagging: A pilot study (2024)
  H. A. Scheppink et al.
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• Exploring neural oscillations during speech perception via surrogate gradient spiking neural networks (2024)
  Alexandre Bittar et al.
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• Du-IN: Discrete units-guided mask modeling for decoding speech from Intracranial Neural signals (2024)
  Hui Zheng et al.
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• Improving Speech Decoding from ECoG with Self-Supervised Pretraining (2024)
  Brian A. Yuan et al.
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• Towards an End-to-End Framework for Invasive Brain Signal Decoding with Large Language Models (2024)
  Sheng Feng et al.
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• Scaling Law in Neural Data: Non-Invasive Speech Decoding with 175 Hours of EEG Data (2024)
  Motoshige Sato et al.
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• Early Recognition of Parkinson's Disease Through Acoustic Analysis and Machine Learning (2024)
  Niloofar Fadavi and Nazanin Fadavi
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• Survey on biomarkers in human vocalizations (2024)
  Aki H\"arm\"a et al.
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• Prosody of speech production in latent post-stroke aphasia (2024)
  Cong Zhang et al.
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• Automatic detection of Mild Cognitive Impairment using high-dimensional acoustic features in spontaneous speech (2024)
  Cong Zhang et al.
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• Resolving Domain Shift For Representations Of Speech In Non-Invasive Brain Recordings (2024)
  Jeremiah Ridge and Oiwi Parker Jones
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