Cover Image

Feasibility of Mental Health Triage Call Priority Prediction Using Machine Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rana, Rajib, Higgins, Niall, Haque, Kazi Nazmul, Reilly, John, Burke, Kylie, Turner, Kathryn, Stedman, Terry
Format:	Preprint
Published:	2024
Subjects:	Audio and Speech Processing Sound
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Raw Audio Classification with Cosine Convolutional Neural Network (CosCovNN)
by: Haque, Kazi Nazmul, et al.
Published: (2024)

Domain Adapting Deep Reinforcement Learning for Real-world Speech Emotion Recognition
by: Rajapakshe, Thejan, et al.
Published: (2022)

Enhancing Speech Emotion Recognition Through Differentiable Architecture Search
by: Rajapakshe, Thejan, et al.
Published: (2023)

Enhancing Infant Crying Detection with Gradient Boosting for Improved Emotional and Mental Health Diagnostics
by: Lee, Kyunghun, et al.
Published: (2024)

Representation Learning with Parameterised Quantum Circuits for Advancing Speech Emotion Recognition
by: Rajapakshe, Thejan, et al.
Published: (2025)

Blind Source Separation in Biomedical Signals Using Variational Methods
by: Torabi, Yasaman, et al.
Published: (2025)

Large Language Models and Non-Negative Matrix Factorization for Bioacoustic Signal Decomposition
by: Torabi, Yasaman, et al.
Published: (2025)

emoDARTS: Joint Optimisation of CNN & Sequential Neural Network Architectures for Superior Speech Emotion Recognition
by: Rajapakshe, Thejan, et al.
Published: (2024)

Deep Audio Watermarks are Shallow: Limitations of Post-Hoc Watermarking Techniques for Speech
by: O'Reilly, Patrick, et al.
Published: (2025)

Text2FX: Harnessing CLAP Embeddings for Text-Guided Audio Effects
by: Chu, Annie, et al.
Published: (2024)

Automatic Sound Event Detection and Classification of Great Ape Calls Using Neural Networks
by: Jiang, Zifan, et al.
Published: (2023)

mmWave-Whisper: Phone Call Eavesdropping and Transcription Using Millimeter-Wave Radar
by: Basak, Suryoday, et al.
Published: (2024)

WhisQ: Cross-Modal Representation Learning for Text-to-Music MOS Prediction
by: Emon, Jakaria Islam, et al.
Published: (2025)

Code Drift: Towards Idempotent Neural Audio Codecs
by: O'Reilly, Patrick, et al.
Published: (2024)

Feasibility of iMagLS-BSM -- ILD Informed Binaural Signal Matching with Arbitrary Microphone Arrays
by: Berebi, Or, et al.
Published: (2024)

SGPA: Spectrogram-Guided Phonetic Alignment for Feasible Shapley Value Explanations in Multimodal Large Language Models
by: Pozorski, Paweł, et al.
Published: (2026)

A Frequency-aware Augmentation Network for Mental Disorders Assessment from Audio
by: Li, Shuanglin, et al.
Published: (2025)

A Reliable and Efficient Detection Pipeline for Rodent Ultrasonic Vocalizations
by: Anis, Sabah Shahnoor, et al.
Published: (2025)

The Rhythm In Anything: Audio-Prompted Drums Generation with Masked Language Modeling
by: O'Reilly, Patrick, et al.
Published: (2025)

Synthetic Speech Classification: IEEE Signal Processing Cup 2022 challenge
by: Rahmun, Mahieyin, et al.
Published: (2024)

Systematic FAIRness Assessment of Open Voice Biomarker Datasets for Mental Health and Neurodegenerative Diseases
by: Mahapatra, Ishaan, et al.
Published: (2025)

Towards Machine Unlearning for Paralinguistic Speech Processing
by: Phukan, Orchid Chetia, et al.
Published: (2025)

Density Adaptive Attention-based Speech Network: Enhancing Feature Understanding for Mental Health Disorders
by: Ioannides, Georgios, et al.
Published: (2024)

Physics-Informed Machine Learning For Sound Field Estimation
by: Koyama, Shoichi, et al.
Published: (2024)

RF-GML: Reference-Free Generative Machine Listener
by: Biswas, Arijit, et al.
Published: (2024)

Explainable Detection of Machine Generated Music and Early Systematic Evaluation
by: Li, Yupei, et al.
Published: (2024)

Uncertainty Quantification in Machine Learning for Joint Speaker Diarization and Identification
by: McKnight, Simon W., et al.
Published: (2023)

IMPACT: Industrial Machine Perception via Acoustic Cognitive Transformer
by: Han, Changheon, et al.
Published: (2025)

SLAP: Learning Speaker and Health-Related Representations from Natural Language Supervision
by: Ando, Angelika, et al.
Published: (2025)

Machine Unlearning in Speech Emotion Recognition via Forget Set Alone
by: Ren, Zhao, et al.
Published: (2025)

Computer Audition: From Task-Specific Machine Learning to Foundation Models
by: Triantafyllopoulos, Andreas, et al.
Published: (2024)

Comparison of Speech Tasks in Human Expert and Machine Detection of Parkinson's Disease
by: Plantinga, Peter, et al.
Published: (2025)

AnoPatch: Towards Better Consistency in Machine Anomalous Sound Detection
by: Jiang, Anbai, et al.
Published: (2024)

Stream-based Active Learning for Anomalous Sound Detection in Machine Condition Monitoring
by: Ho, Tuan Vu, et al.
Published: (2024)

Hearing Health in Home Healthcare: Leveraging LLMs for Illness Scoring and ALMs for Vocal Biomarker Extraction
by: Chen, Yu-Wen, et al.
Published: (2025)

Multimodal Assessment of Speech Impairment in ALS Using Audio-Visual and Machine Learning Approaches
by: Pierotti, Francesco, et al.
Published: (2025)

How Much Does Machine Identity Matter in Anomalous Sound Detection at Test Time?
by: Wilkinghoff, Kevin, et al.
Published: (2026)

Hierarchical Emotion Prediction and Control in Text-to-Speech Synthesis
by: Inoue, Sho, et al.
Published: (2024)

Combined Generative and Predictive Modeling for Speech Super-resolution
by: Wang, Heming, et al.
Published: (2024)

Probing the Feasibility of Multilingual Speaker Anonymization
by: Meyer, Sarina, et al.
Published: (2024)