Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...
Ancestry employs AI and machine learning to expedite digitization of family records, boosting user tools and expanding ...
Audio analytics is about analyzing and understanding audio signals captured by digital devices, with numerous applications in enterprise, healthcare, productivity, and smart cities. Applications ...
Given a set of components and an optional set of statistics to apply to the time-varying components, extract them using Python. You can create a custom .yaml config in order to extract specific ...
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 ...
This is an article about the design of feature extraction blocks developed to improve multi-scale object detection while maintaining fast inference in real-world applications. First, WongKinYiu et al.
Imagine that you have a song file—drums, guitar, bass, vocals, piano—and you want to rebalance it, bringing the voice down just a touch in the mix. Or you want to turn a Lyle Lovett country-rock jam ...
Abstract: Accent recognition has attracted immense research interest owing to the advancements in automatic speech recognition (ASR) systems. Accent variations are an essential factor in speech, and ...
Abstract: Detecting television commercials is essential for the advertising, broadcasting, and content analysis industries. In that sense, traditional methods, which rely on audio-visual cues or ...
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