q-bio.QM

Papers

• Mechanistic Interpretability of Antibody Language Models Using SAEs (2026)
  Rebonto Haque et al.
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• Speech Paralinguistic Approach for Detecting Dementia Using Gated Convolutional Neural Network (2021)
  Mariana Rodrigues Makiuchi et al.
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• X-vectors: New Quantitative Biomarkers for Early Parkinson's Disease Detection from Speech (2021)
  Laetitia Jeancolas et al.
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• Acoustical Analysis of Speech Under Physical Stress in Relation to Physical Activities and Physical Literacy (2022)
  Si-Ioi Ng et al.
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• Prediction of Neonatal Respiratory Distress in Term Babies at Birth from Digital Stethoscope Recorded Chest Sounds (2022)
  Ethan Grooby et al.
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• EMGSE: Acoustic/EMG Fusion for Multimodal Speech Enhancement (2022)
  Kuan-Chen Wang et al.
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• Automatic Depression Detection: An Emotional Audio-Textual Corpus and a GRU/BiLSTM-based Model (2022)
  Ying Shen et al.
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• Speaker Adaptation Using Spectro-Temporal Deep Features for Dysarthric and Elderly Speech Recognition (2022)
  Mengzhe Geng et al.
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• Continuous Speech for Improved Learning Pathological Voice Disorders (2022)
  Syu-Siang Wang et al.
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• Deep Neural Network for Automatic Assessment of Dysphonia (2022)
  Mario Alejandro Garc\'ia and Ana Lorena Rosset
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• Automatic analysis of Categorical Verbal Fluency for Mild Cognitive Impartment detection: a non-linear language independent approach (2022)
  Karmele L\'opez-De-Ipi\~na et al.
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• Identification of Hypokinetic Dysarthria Using Acoustic Analysis of Poem Recitation (2022)
  Jan Mucha et al.
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• Speech and the n-Back task as a lens into depression. How combining both may allow us to isolate different core symptoms of depression (2022)
  Salvatore Fara et al.
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• Disentangled Latent Speech Representation for Automatic Pathological Intelligibility Assessment (2022)
  Tobias Weise et al.
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• Exploiting Hidden Representations from a DNN-based Speech Recogniser for Speech Intelligibility Prediction in Hearing-impaired Listeners (2022)
  Zehai Tu et al.
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• Detecting the Severity of Major Depressive Disorder from Speech: A Novel HARD-Training Methodology (2023)
  Edward L. Campbell et al.
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• A Step Towards Preserving Speakers' Identity While Detecting Depression Via Speaker Disentanglement (2023)
  Vijay Ravi et al.
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• Unsupervised Instance Discriminative Learning for Depression Detection from Speech Signals (2022)
  Jinhan Wang et al.
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• Amino Acid Classification in 2D NMR Spectra via Acoustic Signal Embeddings (2022)
  Jia Qi Yip et al.
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• MEG-MASC: a high-quality magneto-encephalography dataset for evaluating natural speech processing (2022)
  Laura Gwilliams et al.
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• Classify Respiratory Abnormality in Lung Sounds Using STFT and a Fine-Tuned ResNet18 Network (2022)
  Zizhao Chen et al.
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• Deep Speech Synthesis from Articulatory Representations (2022)
  Peter Wu et al.
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• Representation Learning Strategies to Model Pathological Speech: Effect of Multiple Spectral Resolutions (2022)
  Gabriel Figueiredo Miller et al.
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• The Far Side of Failure: Investigating the Impact of Speech Recognition Errors on Subsequent Dementia Classification (2022)
  Changye Li et al.
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• Heart Abnormality Detection from Heart Sound Signals using MFCC Feature and Dual Stream Attention Based Network (2022)
  Nayeeb Rashid et al.
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• pykanto: a python library to accelerate research on wild bird song (2023)
  Nilo Merino Recalde
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• An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies (2023)
  Dat Ngo et al.
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• Coswara: A respiratory sounds and symptoms dataset for remote screening of SARS-CoV-2 infection (2023)
  Debarpan Bhattacharya et al.
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• Parameter-efficient Dysarthric Speech Recognition Using Adapter Fusion and Householder Transformation (2023)
  Jinzi Qi 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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• Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model (2023)
  Yuezhou Zhang et al.
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• EEG-Derived Voice Signature for Attended Speaker Detection (2023)
  Hongxu Zhu et al.
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• Screening method for early dementia using sound objects as voice biomarkers (2024)
  Adam Pluta et al.
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• Rene: A Pre-trained Multi-modal Architecture for Auscultation of Respiratory Diseases (2024)
  Pengfei Zhang 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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• Querying structural and functional niches on spatial transcriptomics data (2026)
  Mo Chen et al.
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• Automatic Screening for Children with Speech Disorder using Automatic Speech Recognition: Opportunities and Challenges (2024)
  Dancheng Liu et al.
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• Exploiting Longitudinal Speech Sessions via Voice Assistant Systems for Early Detection of Cognitive Decline (2024)
  Kristin Qi et al.
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• Anonymising Elderly and Pathological Speech: Voice Conversion Using DDSP and Query-by-Example (2024)
  Suhita Ghosh et al.
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• Atrial Fibrillation Detection System via Acoustic Sensing for Mobile Phones (2024)
  Xuanyu Liu et al.
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• A quantum inspired predictor of Parkinsons disease built on a diverse, multimodal dataset (2024)
  Diya Vatsavai et al.
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• A Classification Benchmark for Artificial Intelligence Detection of Laryngeal Cancer from Patient Voice (2025)
  Mary Paterson et al.
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• FragmentNet: Adaptive Graph Fragmentation for Graph-to-Sequence Molecular Representation Learning (2026)
  Ankur Samanta et al.
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• A Silent Speech Decoding System from EEG and EMG with Heterogenous Electrode Configurations (2025)
  Masakazu Inoue et al.
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• La-Proteina: Atomistic Protein Generation via Partially Latent Flow Matching (2026)
  Tomas Geffner et al.
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• BioArc: Discovering Optimal Neural Architectures for Biological Foundation Models (2026)
  Yi Fang et al.
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• Automated Measurement of Geniohyoid Muscle Thickness During Speech Using Deep Learning and Ultrasound (2026)
  Alisher Myrgyyassov et al.
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• Impact of automatic speech recognition quality on Alzheimer's disease detection from spontaneous speech: a reproducible benchmark study with lexical modeling and statistical validation (2026)
  Himadri Samanta
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• ProtDBench: A Unified Benchmark of Protein Binder Design and Evaluation (2026)
  Cong Liu et al.
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