Image de couverture de livre

Tuberculosis Screening from Cough Audio: Baseline Models, Clinical Variables, and Uncertainty Quantification

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Kafentzis, George P., Selisios, Efstratios
Format:	Preprint
Publié:	2026
Sujets:	Audio and Speech Processing Artificial Intelligence Machine Learning Sound
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Predicting Tuberculosis from Real-World Cough Audio Recordings and Metadata
par: Kafentzis, George P., et autres
Publié: (2023)

CoughViT: A Self-Supervised Vision Transformer for Cough Audio Representation Learning
par: Luong, Justin, et autres
Publié: (2025)

DeepGB-TB: A Risk-Balanced Cross-Attention Gradient-Boosted Convolutional Network for Rapid, Interpretable Tuberculosis Screening
par: Lu, Zhixiang, et autres
Publié: (2025)

Guiding Audio Editing with Audio Language Model
par: Lan, Zitong, et autres
Publié: (2025)

On the Parameter Estimation of Sinusoidal Models for Speech and Audio Signals
par: Kafentzis, George P.
Publié: (2024)

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation
par: Islam, Rofiqul, et autres
Publié: (2025)

CoDiCodec: Unifying Continuous and Discrete Compressed Representations of Audio
par: Pasini, Marco, et autres
Publié: (2025)

Tuning In: Analysis of Audio Classifier Performance in Clinical Settings with Limited Data
par: Mahdi, Hamza, et autres
Publié: (2024)

AudioGenX: Explainability on Text-to-Audio Generative Models
par: Kang, Hyunju, et autres
Publié: (2025)

Music2Latent2: Audio Compression with Summary Embeddings and Autoregressive Decoding
par: Pasini, Marco, et autres
Publié: (2025)

EVA-GAN: Enhanced Various Audio Generation via Scalable Generative Adversarial Networks
par: Liao, Shijia, et autres
Publié: (2024)

Prompt-guided Precise Audio Editing with Diffusion Models
par: Xu, Manjie, et autres
Publié: (2024)

HEAR: Holistic Evaluation of Audio Representations
par: Turian, Joseph, et autres
Publié: (2022)

Benchmarking Language Modeling for Lossless Compression of Full-Fidelity Audio
par: Long, Phillip, et autres
Publié: (2026)

PoDAR: Power-Disentangled Audio Representation for Generative Modeling
par: Luebs, Alejandro, et autres
Publié: (2026)

Text-Queried Audio Source Separation via Hierarchical Modeling
par: Yin, Xinlei, et autres
Publié: (2025)

Sparse Autoencoders Make Audio Foundation Models more Explainable
par: Mariotte, Théo, et autres
Publié: (2025)

NatureLM-audio: an Audio-Language Foundation Model for Bioacoustics
par: Robinson, David, et autres
Publié: (2024)

SSLAM: Enhancing Self-Supervised Models with Audio Mixtures for Polyphonic Soundscapes
par: Alex, Tony, et autres
Publié: (2025)

Open-Amp: Synthetic Data Framework for Audio Effect Foundation Models
par: Wright, Alec, et autres
Publié: (2024)

Walking Through Uncertainty: An Empirical Study of Uncertainty Estimation for Audio-Aware Large Language Models
par: Kuan, Chun-Yi, et autres
Publié: (2026)

Diffused Responsibility: Analyzing the Energy Consumption of Generative Text-to-Audio Diffusion Models
par: Passoni, Riccardo, et autres
Publié: (2025)

$\texttt{AVROBUSTBENCH}$: Benchmarking the Robustness of Audio-Visual Recognition Models at Test-Time
par: Maharana, Sarthak Kumar, et autres
Publié: (2025)

An AI-enabled Bias-Free Respiratory Disease Diagnosis Model using Cough Audio: A Case Study for COVID-19
par: Saeed, Tabish, et autres
Publié: (2024)

Scaling Ambiguity: Augmenting Human Annotation in Speech Emotion Recognition with Audio-Language Models
par: Zhang, Wenda, et autres
Publié: (2026)

Learning Source Disentanglement in Neural Audio Codec
par: Bie, Xiaoyu, et autres
Publié: (2024)

TACNET: Temporal Audio Source Counting Network
par: Ahmadnejad, Amirreza, et autres
Publié: (2023)

Exploring and Applying Audio-Based Sentiment Analysis in Music
par: Jhanji, Etash
Publié: (2024)

Training-Free Multi-Step Audio Source Separation
par: Zang, Yongyi, et autres
Publié: (2025)

On Temporal Guidance and Iterative Refinement in Audio Source Separation
par: Morocutti, Tobias, et autres
Publié: (2025)

Leveraging Whisper Embeddings for Audio-based Lyrics Matching
par: Mancini, Eleonora, et autres
Publié: (2025)

Audio-Based Pedestrian Detection in the Presence of Vehicular Noise
par: Kim, Yonghyun, et autres
Publié: (2025)

A Survey of Deep Learning Audio Generation Methods
par: Božić, Matej, et autres
Publié: (2024)

COVID-19 Detection System: A Comparative Analysis of System Performance Based on Acoustic Features of Cough Audio Signals
par: Shati, Asmaa, et autres
Publié: (2023)

Learning Linearity in Audio Consistency Autoencoders via Implicit Regularization
par: Torres, Bernardo, et autres
Publié: (2025)

Evaluating Fake Music Detection Performance Under Audio Augmentations
par: Sroka, Tomasz, et autres
Publié: (2025)

Cross-Attention with Confidence Weighting for Multi-Channel Audio Alignment
par: Nihal, Ragib Amin, et autres
Publié: (2025)

Speech Enhancement Using Continuous Embeddings of Neural Audio Codec
par: Li, Haoyang, et autres
Publié: (2025)

Deep Learning for Tuberculosis Screening in a High-burden Setting using Cough Analysis and Speech Foundation Models
par: Ma, Ning, et autres
Publié: (2025)

Jailbreak-AudioBench: In-Depth Evaluation and Analysis of Jailbreak Threats for Large Audio Language Models
par: Cheng, Hao, et autres
Publié: (2025)