Automatic dysarthria detection and severity level assessment using CWT-layered CNN model
S Sajiha, K Radha, D Venkata Rao, N Sneha… - EURASIP Journal on …, 2024 - Springer
Dysarthria is a speech disorder that affects the ability to communicate due to articulation
difficulties. This research proposes a novel method for automatic dysarthria detection (ADD) …
difficulties. This research proposes a novel method for automatic dysarthria detection (ADD) …
Automated ASD detection in children from raw speech using customized STFT-CNN model
Autism spectrum disorder (ASD), a prevalent neurodevelopmental condition impacting
cognitive, communicative, and behavioral aspects, typically manifests in early childhood due …
cognitive, communicative, and behavioral aspects, typically manifests in early childhood due …
Temporal feature-based approaches for enhancing phoneme boundary detection and masking in speech
SM Shabber, M Bansal - International Journal of Speech Technology, 2024 - Springer
Automatic phoneme boundary detection is a key problem in speech processing and
applications. The accurate phoneme segmentation in continuous speech contributes to the …
applications. The accurate phoneme segmentation in continuous speech contributes to the …
Using a modified Sinc neural network to identify the chaotic systems with an application in wind speed forecasting
G Ahmadi - Journal of Mathematical Modeling, 2024 - jmm.guilan.ac.ir
Continuous-time models for dynamic nonlinear systems offer greater reliability than their
discrete-time counterparts. Discrete-time models can suffer from information loss and …
discrete-time counterparts. Discrete-time models can suffer from information loss and …