Buchumschlag

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

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Tao, Fuxiang, Li, Dongwei, Tang, Shuning, Ge, Xuri, Ma, Wei, Esposito, Anna, Vinciarelli, Alessandro
Format:	Preprint
Veröffentlicht:	2026
Schlagworte:	Audio and Speech Processing
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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