This paper reviews recent research works in infant cry signal analysis and classification
tasks. A broad range of literatures are reviewed mainly from the aspects of data acquisition …

Objective: Video and sound acquisition and processing technologies have seen great
improvements in recent decades, with many applications in the biomedical area. The aim of …

Anxiety and depression are two important mental health problems among the geriatric
population. They are often undiagnosed and directly or indirectly responsible for various …

The cry is a loud, high pitched verbal communication of infants. The very high fundamental
frequency and resonance frequency characterize a neonatal infant cry having certain …

Artificial intelligence speech recognition technology is an important direction in the field of
human-computer interaction. The use of speech recognition technology to assist teachers in …

Background and objective Infant cry signal carries several levels of information about the
reason for crying (hunger, pain, sleepiness and discomfort) or the pathological status …

Early diagnosis of medical conditions in infants is crucial for ensuring timely and effective
treatment. However, infants are unable to verbalize their symptoms, making it difficult for …

The difficulty of obtaining the characteristics of the corpus database of neural machine
translation is a factor hindering its development. In order to improve the effect of English …

Researchers have found that crying is an acoustic symptom among unhealthy newborns.
This study aims to develop a non-invasive newborn cry diagnostic system (NCDS) using …

Recently, the number of machine learning models used to classify cry signals of healthy and
unhealthy newborns has been significantly increasing. Various works have already reported …