This study presents a novel methodology utilizing a pre-trained speech recognition model
for processing respiratory sound data. By incorporating medical record information, we …

It is desired to apply deep learning models (DLMs) to assist physicians in distinguishing
abnormal/normal lung sounds as quickly as possible. The performance of DLMs depends on …

This paper presents a deep learning system applied for detecting anomalies from respiratory
sound recordings. Initially, our system begins with audio feature extraction using …

Depression clinical interview corpora are essential for advancing automated depression
diagnosis. While previous studies have used written speech material in controlled settings …

Faced with the generally poor experience in pediatric outpatient in China, under the
guidance of design thinking, based on the analysis and research of the main elements …

Many deep learning–based computerized respiratory sound analysis methods have
previously been developed. However, these studies focus on either lung sound only or …

Respiratory diseases contribute to a majority of deaths worldwide every year. Diseases such
as asthma, bronchitis and pneumonia also adversely impact a person's social and economic …