Results 101 to 110 of about 114,871 (320)
Purpose: the knowledge concerning care of the voice on the part of professional and amateur singers in Chile is relevant for voice professionals and also for speech pathologists who work in disorder prevention and voice care.
Daniel Rodríguez Marconi+4 more
doaj +1 more source
Robustness against the channel effect in pathological voice detection [PDF]
Many people are suffering from voice disorders, which can adversely affect the quality of their lives. In response, some researchers have proposed algorithms for automatic assessment of these disorders, based on voice signals. However, these signals can be sensitive to the recording devices.
arxiv
Adequate contact between the intubation tube and the vocal cord muscles is crucial for effective intraoperative nerve monitoring use during esophagectomy. Additionally, intraoperative posture significantly affects diagnostic outcomes and should be carefully considered.
Masami Yuda+9 more
wiley +1 more source
Abstract Early childhood has increasingly been acknowledged as a vital time for all children. Inclusive and quality education is part of the United Nations Sustainable Development Goals, with the further specification that all children have access to quality pre‐primary education.
Laura H. V. Wright+8 more
wiley +1 more source
Interoception, Voice Symptom Reporting, and Voice Disorders. [PDF]
Smeltzer JC, Chiou SH, Shembel AC.
europepmc +1 more source
Is it too loud? Ask your brain!
Purpose: In this study, the objectification of the subjective perception of loudness was investigated using electroencephalography (EEG). In particular, the emergence of objective markers in the domain of the acoustic discomfort threshold was examined ...
Philipp Zelger+3 more
doaj
Algorithmically Enhanced Wearable Multimodal Emotion Sensor
This study presents a fully printed, organic wearable sensor for multimodal emotion sensing by noninvasively monitoring physiological indicators like physiological pulse, breathing patterns, and voice signatures. Using LSTM networks and Q‐learning, the system achieves over 91% accuracy, offering a pathway to understanding complex emotions and enhancing
Anand Babu+4 more
wiley +1 more source
Vocal tasks for acoustic and/or auditory perceptual analysis for discriminating individuals with and without voice disorders: a systematic review protocol. [PDF]
Gunjawate DR+3 more
europepmc +1 more source
Beyond averaging: A transformer approach to decoding event related brain potentials
The objective of this study is to assess the potential of a transformer-based deep learning approach applied to event-related brain potentials (ERPs) derived from electroencephalographic (EEG) data. Traditional methods involve averaging the EEG signal of
Philipp Zelger+6 more
doaj