Imagen de Portada

Validating Computational Markers of Depressive Behavior: Cross-Linguistic Speech-Based Depression Detection with Neurophysiological Validation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Tao, Fuxiang, Li, Dongwei, Tang, Shuning, Ge, Xuri, Ma, Wei, Esposito, Anna, Vinciarelli, Alessandro
Formato:	Preprint
Publicado:	2026
Materias:	Audio and Speech Processing
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection
por: Yeh, Hsiang-Chen, et al.
Publicado: (2026)

Distinctive Feature Codec: An Adaptive Efficient Speech Representation for Depression Detection
por: Zhang, Xiangyu, et al.
Publicado: (2025)

Automatic Detection of Depression in Speech Using Ensemble Convolutional Neural Networks
por: Vázquez-Romero, Adrián, et al.
Publicado: (2024)

SpeechT-RAG: Reliable Depression Detection in LLMs with Retrieval-Augmented Generation Using Speech Timing Information
por: Zhang, Xiangyu, et al.
Publicado: (2025)

Speech-based Clinical Depression Screening: An Empirical Study
por: Chen, Yangbin, et al.
Publicado: (2024)

ASVspoof 5: Design, Collection and Validation of Resources for Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech
por: Wang, Xin, et al.
Publicado: (2025)

Efficient Long Speech Sequence Modelling for Time-Domain Depression Level Estimation
por: Li, Shuanglin, et al.
Publicado: (2025)

Optimizing Speech-Input Length for Speaker-Independent Depression Classification
por: Rutowski, Tomasz, et al.
Publicado: (2024)

Robust Speech and Natural Language Processing Models for Depression Screening
por: Lu, Y., et al.
Publicado: (2024)

Personality-Enhanced Multimodal Depression Detection in the Elderly
por: Wang, Honghong, et al.
Publicado: (2025)

Why Pre-trained Models Fail: Feature Entanglement in Multi-modal Depression Detection
por: Zhang, Xiangyu, et al.
Publicado: (2025)

Speech-preserving active noise control: a deep learning approach in reverberant environments
por: Dai, Shuning
Publicado: (2026)

Test-Time Training for Depression Detection
por: Dumpala, Sri Harsha, et al.
Publicado: (2024)

ComFeAT: Combination of Neural and Spectral Features for Improved Depression Detection
por: Phukan, Orchid Chetia, et al.
Publicado: (2024)

Recurrence-Based Nonlinear Vocal Dynamics as Digital Biomarkers for Depression Detection from Conversational Speech
por: Samanta, Himadri S
Publicado: (2026)

Classification of Autistic and Non-Autistic Children's Speech: A Cross-Linguistic Study in Finnish, French, and Slovak
por: Kakouros, Sofoklis, et al.
Publicado: (2026)

Hierarchical Self-Supervised Representation Learning for Depression Detection from Speech
por: Li, Yuxin, et al.
Publicado: (2025)

Post-training for Deepfake Speech Detection
por: Ge, Wanying, et al.
Publicado: (2025)

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition
por: Zhao, Ruoyu, et al.
Publicado: (2025)

Multimodal Magic Elevating Depression Detection with a Fusion of Text and Audio Intelligence
por: Gan, Lindy, et al.
Publicado: (2025)

Performance of Objective Speech Quality Metrics on Languages Beyond Validation Data: A Study of Turkish and Korean
por: Perez, Javier, et al.
Publicado: (2025)

When LLMs Meets Acoustic Landmarks: An Efficient Approach to Integrate Speech into Large Language Models for Depression Detection
por: Zhang, Xiangyu, et al.
Publicado: (2024)

Electrolaryngeal Speech Intelligibility Enhancement Through Robust Linguistic Encoders
por: Violeta, Lester Phillip, et al.
Publicado: (2023)

Self-Supervised Embeddings for Detecting Individual Symptoms of Depression
por: Dumpala, Sri Harsha, et al.
Publicado: (2024)

Towards Data Drift Monitoring for Speech Deepfake Detection in the context of MLOps
por: Wang, Xin, et al.
Publicado: (2025)

Speech-Based Depression Prediction Using Encoder-Weight-Only Transfer Learning and a Large Corpus
por: Harati, Amir, et al.
Publicado: (2024)

Cross-Corpus Validation of Speech Emotion Recognition in Urdu using Domain-Knowledge Acoustic Features
por: Talpur, Unzela, et al.
Publicado: (2025)

Does Fine-tuning by Reinforcement Learning Improve Generalization in Binary Speech Deepfake Detection?
por: Wang, Xin, et al.
Publicado: (2026)

Towards Cross-Task Suicide Risk Detection via Speech LLM
por: Li, Jialun, et al.
Publicado: (2025)

Linguistic Knowledge Transfer Learning for Speech Enhancement
por: Hung, Kuo-Hsuan, et al.
Publicado: (2025)

A Multi-Probe Audit of Clinical-Interview Depression Detection Benchmarks
por: Ishikawa, Takehiro, et al.
Publicado: (2026)

TTA: Transcribe, Translate and Alignment for Cross-lingual Speech Representation
por: Liu, Wei, et al.
Publicado: (2025)

Towards a Generalizable Speech Marker for Parkinson's Disease Diagnosis
por: Siniukov, Maksim, et al.
Publicado: (2025)

Toward Objective and Interpretable Prosody Evaluation in Text-to-Speech: A Linguistically Motivated Approach
por: Chan, Cedric, et al.
Publicado: (2025)

Predicting Individual Depression Symptoms from Acoustic Features During Speech
por: Rodriguez, Sebastian, et al.
Publicado: (2024)

Linguistic Changes in Spontaneous Speech for Detecting Parkinsons Disease Using Large Language Models
por: Crawford, Jonathan
Publicado: (2024)

Reducing Linguistic Hallucination in LM-Based Speech Enhancement via Noise-Invariant Acoustic-Semantic Distillation
por: Wang, Zheng, et al.
Publicado: (2026)

UR Channel-Robust Synthetic Speech Detection System for ASVspoof 2021
por: Chen, Xinhui, et al.
Publicado: (2021)

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems
por: Cui, Mingyu, et al.
Publicado: (2025)

Emotional Vietnamese Speech-Based Depression Diagnosis Using Dynamic Attention Mechanism
por: D., Quang-Anh N., et al.
Publicado: (2024)