More than a million people around the world rely on cochlear implants (CIs) to hear. CI effectiveness is generally evaluated ...

ABSTRACT: This paper studies recent assistive technologies and AI sound detection systems that have been developed to support both the safety and communication of individuals who are deaf. It ...

Unstable emotions are considered to be an important factor contributing to traffic accidents. The probability of accidents can be reduced if emotional anomalies of drivers can be quickly identified ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...

Five of the 10 inmates who escaped have been recaptured. During the ongoing massive manhunt for 10 inmates who escaped from a New Orleans jail last week, authorities say the use of facial recognition ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Abstract: Emotion recognition from speech is an emerging field within machine learning, aimed at improving human-computer interaction by enabling systems to understand and respond to human emotions.

Nonverbal messages in speech - emotion, emphasis, conversation action - are encoded by prosody, providing “operating instructions” for words and contextual information. Despite its importance, the ...

Reward-based learning can easily be applied to real life with a prevalence in children teaching methods. It also allows machines and software agents to automatically determine the ideal behavior from ...