Research graph
References from Speech-based early depressive symptom screening using MAX-Net: a multi-scale autoencoder-augmented xLSTM framework. Local targets link to admitted publications; unresolved targets remain external evidence.
The effect of mindfulness training on executive function in youth with depression
10.1016/j.actpsy.2023.103888 · 2023 · External reference
Global, regional, and national trends in incidence of depression among women, 1990–2019: An analysis of the global burden of disease study
10.1016/j.psychres.2023.115668 · 2024 · External reference
Evaluating the psychometric structure of the Hamilton Rating Scale for Depression pre- and post-treatment in antidepressant randomised trials: Secondary analysis of 6843 individual participants from 20 trials
10.1016/j.psychres.2024.116057 · 2024 · External reference
An EEG-based marker of functional connectivity: Detection of major depressive disorder
10.1007/s11571-023-10041-5 · 2024 · External reference
Multimodal fusion diagnosis of depression and anxiety based on CNN-LSTM model
10.1016/j.compmedimag.2022.102128 · 2022 · External reference
Catching elusive depression via facial micro-expression recognition
10.1109/mcom.001.2300003 · 2023 · External reference
Differences in prefrontal cortex activation in Chinese college students with different severities of depressive symptoms: A large sample of functional near-infrared spectroscopy (fNIRS) findings
10.1016/j.jad.2024.01.044 · 2024 · External reference
Interpretable deep learning model for major depressive disorder assessment based on functional near-infrared spectroscopy
10.1016/j.ajp.2023.103901 · 2024 · External reference
fNIRS evidence for distinguishing patients with major depression and healthy controls
10.1109/tnsre.2021.3115266 · 2021 · External reference
Detecting depression severity from vocal prosody
10.1109/t-affc.2012.38 · 2012 · External reference
Vocal acoustic features as potential biomarkers for identifying/diagnosing depression: A cross-sectional study
10.3389/fpsyt.2022.815678 · 2022 · External reference
Speech-based clinical depression screening: An empirical study
10.1109/icasspw65056.2025.11011046 · 2024 · External reference
Multimodal depression detection based on an attention graph convolution and transformer
10.3934/mbe.2025024 · 2025 · External reference
Automatic depression detection using smartphone-based text-dependent speech signals: Deep convolutional neural network approach
10.2196/34474 · 2023 · External reference
Universum autoencoder-based domain adaptation for speech emotion recognition
10.1109/lsp.2017.2672753 · 2017 · External reference
Speech features as predictors of momentary depression severity in patients with depressive disorder undergoing sleep deprivation therapy: Ambulatory assessment pilot study
10.2196/49222 · 2024 · External reference
The effect of talker and listener depressive symptoms on speech intelligibility
10.1044/2019_jslhr-s-19-0112 · 2019 · External reference
Voice acoustic parameters as predictors of depression
10.1016/j.jvoice.2021.06.018 · 2021 · External reference
The influence of alcoholic intoxication on the short-time energy function of speech
10.1121/1.4870705 · 2014 · External reference
Multi-modal depression estimation based on sub-attentional fusion
10.1007/978-3-031-25075-0_42 · 2023 · External reference
Depaudionet: An efficient deep model for audio based depression classification
2016 · External reference
Hierarchical attention transfer networks for depression assessment from speech
10.1109/icassp40776.2020.9053207 · 2020 · External reference
Multi-local attention for speech-based depression detection
2023 · External reference
Generative AI in healthcare: Opportunities, challenges, and future perspectives
2024 · External reference
Data augmentation for image classification using generative AI
10.1109/wacv61041.2025.00410 · 2025 · External reference
Generative AI-driven data augmentation for crack detection in physical structures
10.3390/electronics13193905 · 2024 · External reference
Deep convolutional neural networks and data augmentation for environmental sound classification
10.1109/lsp.2017.2657381 · 2017 · External reference
SpecAugment: A simple data augmentation method for automatic speech recognition
2019 · External reference
Feature augmenting networks for improving depression severity estimation from speech signals
10.1109/access.2020.2970496 · 2020 · External reference
Recognition of audio depression based on convolutional neural network and generative antagonism network model
10.1109/access.2020.2998532 · 2020 · External reference
Disentanglement of prosody representations via diffusion models and scheduled gradient reversal
10.1109/tnnls.2025.3534822 · 2025 · External reference
StyleTTS 2: towards human-level text-to-speech through style diffusion and adversarial training with large speech language models
10.48550/arxiv.2306.07691 · 2023 · External reference
A comparison of data augmentation methods in voice pathology detection
10.1016/j.csl.2023.101552 · 2024 · External reference
Speech-based depression assessment: A comprehensive survey
10.1109/taffc.2024.3521327 · 2024 · External reference
Prediction of depression severity based on the prosodic and semantic features with bidirectional LSTM and time distributed CNN
10.1109/taffc.2022.3154332 · 2023 · External reference
The PHQ-9: Validity of a brief depression severity measure
10.1046/j.1525-1497.2001.016009606.x · 2001 · External reference
Single-channel speech enhancement using implicit Wiener filter for high-quality speech communication
10.1007/s10772-022-09987-4 · 2022 · External reference
Speech feature-based depression detection and interpretability analysis
10.1109/iscait64916.2025.11010283 · 2025 · External reference
Analysis and detection of pathological voice using glottal source features
10.1109/jstsp.2019.2957988 · 2020 · External reference
Speaker recognition utilizing distributed DCT-II based Mel frequency cepstral coefficients and fuzzy vector quantization
10.1007/s10772-012-9166-0 · 2013 · External reference
Speech emotion recognition based on multi-dimensional feature extraction and multi-scale feature fusion
10.1016/j.apacoust.2023.109752 · 2024 · External reference
Temporal autoencoder with u-net style skip-connections for frame prediction
2020 · External reference
xLSTM: extended long short-term memory
10.48550/arxiv.2405.04517 · 2024 · External reference
A multi-modal open dataset for mental-disorder analysis
10.1038/s41597-022-01211-x · 2022 · External reference
TTFNet: Temporal-frequency features fusion network for speech based automatic depression recognition and assessment
10.1109/jbhi.2025.3574864 · 2025 · External reference
DBAUNet: Dual-branch attention U-Net for time-domain speech enhancement
10.1109/tencon55691.2022.9977891 · 2022 · External reference
An attention based densely connected u-net with convolutional gru for speech enhancement
10.1109/aisp57993.2023.10134933 · 2023 · External reference
Autoencoder with emotion embedding for speech emotion recognition
10.1109/access.2021.3069818 · 2021 · External reference
Bias-variance decomposition of overparameterized regression with random linear features
10.1103/physreve.106.025304 · 2022 · External reference
