Feature extraction methods in language identification: a survey
Abstract Language Identification (LI) is one of the widely emerging field in the areas of
speech processing to accurately identify the language from the data base based on some …
speech processing to accurately identify the language from the data base based on some …
Automated sleep apnea detection in snoring signal using long short-term memory neural networks
S Cheng, C Wang, K Yue, R Li, F Shen, W Shuai… - … Signal Processing and …, 2022 - Elsevier
Obstructive sleep apnea hypopnea syndrome (OSAHS) is a high incidence disease with
serious hazard and potential danger. The polysomnography (PSG) has become the gold …
serious hazard and potential danger. The polysomnography (PSG) has become the gold …
Social communication disorder outside intellectual disability? A review and classification approach to receptive and expressive communication in intellectual disability
G Aggarwal - Wireless Personal Communications, 2022 - Springer
Speech plays an imperative part in friendly and verbal correspondence for people.'Verbal
correspondence'signifies communicating thoughts, sentiments and considerations …
correspondence'signifies communicating thoughts, sentiments and considerations …
Deep Learning Enabled High-Performance Speech Command Recognition on Graphene Flexible Microphones
XY Zhang, H Liu, XY Ma, ZC Wang, GP Li… - ACS Applied …, 2022 - ACS Publications
Benefiting from outstanding electrical properties and excellent flexibility, graphene is widely
used in novel sensors. However, the high price, complex manufacturing process, and …
used in novel sensors. However, the high price, complex manufacturing process, and …
Comparisons of speech parameterisation techniques for classification of intellectual disability using machine learning
G Aggarwal, L Singh - … on physical and intellectual disabilities in an …, 2022 - igi-global.com
Classification of intellectually disabled children through manual assessment of speech at an
early age is inconsistent, subjective, time-consuming and prone to error. This study attempts …
early age is inconsistent, subjective, time-consuming and prone to error. This study attempts …
Evaluation of supervised learning algorithms based on speech features as predictors to the diagnosis of mild to moderate intellectual disability
G Aggarwal, L Singh - 3D Research, 2018 - Springer
Due to age-bound onset of symptoms used for diagnosis of mild to moderate intellectual
disability, early diagnosis of these problems has long been a difficult issue. The diagnosis …
disability, early diagnosis of these problems has long been a difficult issue. The diagnosis …
Early Screening of ASD Based on Hand Gesture Analysis
Q Zhou, J Li, Q Xu, H Li, X Xu, H Liu - International Conference on …, 2022 - Springer
Neurodevelopmental disorder refers to behavioral and cognitive impairment during
development, which is manifested as significant difficulties in intelligence, motor or social …
development, which is manifested as significant difficulties in intelligence, motor or social …
[PDF][PDF] Audio Fingerprint Retrieval Method Based on Feature Dimension Reduction and Feature Combination.
Q Zhang, F Xu, J Bai - KSII Transactions on Internet & Information Systems, 2021 - itiis.org
In order to solve the problems of the existing audio fingerprint method when extracting audio
fingerprints from long speech segments, such as too large fingerprint dimension, poor …
fingerprints from long speech segments, such as too large fingerprint dimension, poor …
Parameterization techniques for automatic speech recognition system
Speech development usually involves the ability to perceive the dialectal architecture of a
language, which is responsible for the production of sound and finally utter the appropriate …
language, which is responsible for the production of sound and finally utter the appropriate …
Monitoring of Agglomeration in Fluidized-Bed Reactor Based on Voiceprint Features Recognition with Unbalanced Samples
Z Zhao, Y Chen, J Pang - Journal of Chemical Engineering of Japan, 2022 - jstage.jst.go.jp
When acoustic emission detection technology is applied to detect the agglomeration in
uidized bed reactors (FBRs), the collected acoustic emission samples are usually non …
uidized bed reactors (FBRs), the collected acoustic emission samples are usually non …