Intoxication detection from speech using representations learned from self-supervised pre-training

A.R.P.L. de Albuquerque; Samuel Chibuoyim Uche; Emmanuel Agu

doi:10.1016/j.smhl.2025.100562

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Intoxication detection from speech using representations learned from self-supervised pre-training

A.R.P.L. de Albuquerque Samuel Chibuoyim Uche Emmanuel Agu

Year: 2025 Journal: Smart Health Vol: 36 Pages: 100562-100562 Publisher: Elsevier BV

DOI: 10.1016/j.smhl.2025.100562

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Keywords:

Training (meteorology) Computer science Speech recognition Psychology Artificial intelligence Voice activity detection Training set Machine learning Audiology Medicine Speech processing Geography

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Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Speech Recognition and Synthesis

Physical Sciences → Computer Science → Artificial Intelligence

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Intoxication detection from speech using representations learned from self-supervised pre-training

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