1 citations · 2 across the 14 of their papers we have counts for
5 papers · 1 filter
Avengers Assemble: Amalgamation of Non-Semantic Features for Depression Detection
Orchid Chetia Phukan, Swarup Ranjan Behera, Shubham Singh +5
In this study, we address the challenge of depression detection from speech, focusing on the potential of non-semantic features (NSFs) to capture subtle markers of depression. Whil…
Speech Recognition Transformers: Topological-lingualism Perspective
Shruti Singh, Muskaan Singh, Virender Kadyan
Transformers have evolved with great success in various artificial intelligence tasks. Thanks to our recent prevalence of self-attention mechanisms, which capture long-term depende…
Modality-Order Matters! A Novel Hierarchical Feature Fusion Method for CoSAm: A Code-Switched Autism Corpus
Mohd Mujtaba Akhtar, Girish, Muskaan Singh +1
Autism Spectrum Disorder (ASD) is a complex neuro-developmental challenge, presenting a spectrum of difficulties in social interaction, communication, and the expression of repetit…
ComFeAT: Combination of Neural and Spectral Features for Improved Depression Detection
Orchid Chetia Phukan, Sarthak Jain, Shubham Singh +3
In this work, we focus on the detection of depression through speech analysis. Previous research has widely explored features extracted from pre-trained models (PTMs) primarily tra…
NeuRO: An Application for Code-Switched Autism Detection in Children
Mohd Mujtaba Akhtar, Girish, Orchid Chetia Phukan +1
Code-switching is a common communication phenomenon where individuals alternate between two or more languages or linguistic styles within a single conversation. Autism Spectrum Dis…