Audio Signal Analysis
Listen to Understand
Sound is a wave generated by vibration that typically travels through air or another medium to reach our ears. Audio signals represent these sounds as waveforms with frequencies confined to the human audible range – the spectrum between the lower and upper limits detectable by the human ear. Within this range, audio signals carry meaningful information.
Audio signal analysis forms the foundation of most audio-related research and applications – including tasks such as signal extraction, interpretation, and classification. Once extracted, the information can be processed to yield logical, emotional, or contextually relevant interpretations – depending on the research domain.
Leveraging advanced machine learning and deep learning techniques, we possess the capability to accurately extract and process audio signals – tailored to meet your specific requirements.
Successful Projects
Development of a screening and support portal as an extensive psycho-social diagnostic mode for refugees
Features extraction of auditory, visual, and physiological data for diagnosis system of affective disorders
Audio and facial expression based pain monitoring system
Sudden sickness, distraction, and mind wondering detection by camera and audio based approaches for hand over situations in autonomous driving
Camera-Based Monitoring of Safety-Critical Driver Conditions
Evaluation of multiple fatigue intervention systems
Multimodal physiological measurements of mental workload for evaluating ADAS
Multimodal hypovigilance measures
Computer vision-based detection of attention
Developing of emphatic dialog systems: an EU-Japanese collaboration