Results 11 to 20 of about 10,858,950 (355)
Generating EEG features from Acoustic features [PDF]
In this paper we demonstrate predicting electroencephalography (EEG) features from acoustic features using recurrent neural network (RNN) based regression model and generative adversarial network (GAN).
G. Krishna +4 more
semanticscholar +5 more sources
Brain Bases for Navigating Acoustic Features. [PDF]
Abstract Whether physical navigation shares neural substrates with mental travel in other behaviourally relevant domains is debated. With respect to sound, pure-tone working memory in humans elicits hippocampal as well as auditory cortical and inferior frontal activity, and rodent work suggests that hippocampal cells that usually track ...
Billig AJ +8 more
europepmc +4 more sources
Rheumatic Heart Disease Screening Based on Phonocardiogram
Rheumatic heart disease (RHD) is one of the most common causes of cardiovascular complications in developing countries. It is a heart valve disease that typically affects children. Impaired heart valves stop functioning properly, resulting in a turbulent
Melkamu Hunegnaw Asmare +4 more
doaj +1 more source
Assessing the severity level of dysarthria can provide an insight into the patient’s improvement, assist pathologists to plan therapy, and aid automatic dysarthric speech recognition systems.
Amlu Anna Joshy, R. Rajan
semanticscholar +1 more source
The ability to synchronize body movements with auditory stimuli is not universal among adults and instead displays substantial individual differences. The ability to synchronize body movements with quasi-regular auditory stimuli represents a fundamental ...
Cecilia Mares +2 more
semanticscholar +1 more source
Humans are able to detect an instantaneous change in correlation, demonstrating an ability to temporally process extremely rapid changes in interaural configurations.
Nannan Zong, Meihong Wu
doaj +1 more source
Research on Chinese Speech Emotion Recognition Based on Deep Neural Network and Acoustic Features
In recent years, the use of Artificial Intelligence for emotion recognition has attracted much attention. The industrial applicability of emotion recognition is quite comprehensive and has good development potential.
Ming-Che Lee +3 more
doaj +1 more source
Birdsong is a longstanding model system for studying evolution and biodiversity. Here, we collected and analyzed high quality song recordings from seven species in the family Estrildidae .
M. Rivera +3 more
semanticscholar +1 more source
Vocalization Behavior of Chinese Bahaba (Bahaba taipingensis) during the Reproduction Season
Chinese bahaba (Bahaba taipingensis) is a critically endangered fish species, which can produce sounds like other Sciaenidae species. In this study, sounds produced by sexually mature Chinese bahaba were recorded during the reproduction season for the ...
Hongquan Li +9 more
doaj +1 more source
A systematic review and Bayesian meta-analysis of the acoustic features of infant-directed speech
When speaking to infants, adults often produce speech that differs systematically from that directed to other adults. To quantify the acoustic properties of this speech style across a wide variety of languages and cultures, we extracted results from ...
C. Cox +6 more
semanticscholar +1 more source

