Results 171 to 180 of about 55,369 (264)
ABSTRACT Objective To provide a comprehensive review of the current landscape of artificial intelligence (AI) applications in voice disorder, with emphasis on emerging applications, limitations, and future directions for clinical integration. Methods Literature review.
Rachel B. Kutler, Anaïs Rameau
wiley +1 more source
Effect of spectrogram resolution on deep-neural-network-based speech enhancement
Daiki Takeuchi +4 more
openalex +2 more sources
Infectious diseases are commonly cited as significant contributors to wildlife population declines. It is, therefore, important to investigate the extent to which tools designed to mitigate the effects of infectious diseases explain wildlife responses to habitat management.
Jacob Goldman +8 more
wiley +1 more source
The ruffed grouse Bonasa umbellus is a species of conservation concern that has declined across most of its range. At the southeastern trailing edge of the range in Georgia, grouse are restricted to elevations 600 m a.s.l. and abundance is relatively low.
Clayton D. Delancey +5 more
wiley +1 more source
whistle. Corresponding audio recording for the spectrogram in Fig 2.
Franziska Wegdell (9736095) +6 more
openalex +1 more source
Urban green spaces experience a mix of natural and anthropogenic noises, which could disrupt the vocal communication of several species. This study investigated how such complex soundscapes affect the occurrence of Anaxipha pallidula, which communicates through calls, focusing on both sound level and quality.
Hiroki Mori, Takeshi Osawa
wiley +1 more source
Many bird species are monitored using auditory point count surveys during the breeding season. Autonomous recording units (ARUs) can be used to better understand the daily and seasonal timing of when a species is vocalizing, which can help align surveys with the time period when the maximum number of individuals are present. We used ARUs to improve our
K. M. Walton +5 more
wiley +1 more source
A Data-Driven Approach for the Diagnosis of Mechanical Systems Using Trained Subtracted Signal Spectrograms [PDF]
Jiung Huh +4 more
openalex +1 more source
Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge +4 more
wiley +1 more source

