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Found 10 papers, 1 papers with code
SONIC: Synergizing VisiON Foundation Models for Stress RecogNItion from ECG signals
Stress recognition through physiological signals such as Electrocardiogram (ECG) signals has garnered significant attention.
Heterogeneity over Homogeneity: Investigating Multilingual Speech Pre-Trained Models for Detecting Audio Deepfake
To validate our hypothesis, we extract representations from state-of-the-art (SOTA) PTMs including monolingual, multilingual as well as PTMs trained for speaker and emotion recognition, and evaluated them on ASVSpoof 2019 (ASV), In-the-Wild (ITW), and DECRO benchmark databases.
How Paralingual are Paralinguistic Representations? A Case Study in Speech Emotion Recognition
We also show that downstream models using TRILLsson representations achieve SOTA performance in terms of accuracy across various multi-lingual datasets.
A Lightweight Feature Fusion Architecture For Resource-Constrained Crowd Counting
However, most of the previous methods rely on a heavy backbone and a complex downstream architecture that restricts the deployment.
From Simulations to Reality: Enhancing Multi-Robot Exploration for Urban Search and Rescue
In this study, we present a novel hybrid algorithm, combining Levy Flight (LF) and Particle Swarm Optimization (PSO) (LF-PSO), tailored for efficient multi-robot exploration in unknown environments with limited communication and no global positioning information.
Reinforcement Learning-based Knowledge Graph Reasoning for Explainable Fact-checking
Extensive experiments on FB15K-277 and NELL-995 datasets reveal that reasoning over a KG is an effective way of producing human-readable explanations in the form of paths and classifications for fact claims.
Roulette-Wheel Selection-Based PSO Algorithm for Solving the Vehicle Routing Problem with Time Windows
The well-known Vehicle Routing Problem with Time Windows (VRPTW) aims to reduce the cost of moving goods between several destinations while accommodating constraints like set time windows for certain locations and vehicle capacity.
Transforming the Embeddings: A Lightweight Technique for Speech Emotion Recognition Tasks
Speech emotion recognition (SER) is a field that has drawn a lot of attention due to its applications in diverse fields.
A Comparative Study of Pre-trained Speech and Audio Embeddings for Speech Emotion Recognition
In this work, we exploit this research gap and perform a comparative analysis of embeddings extracted from eight speech and audio PTMs (wav2vec 2. 0, data2vec, wavLM, UniSpeech-SAT, wav2clip, YAMNet, x-vector, ECAPA).
"Can We Detect Substance Use Disorder?": Knowledge and Time Aware Classification on Social Media from Darkweb
We use the Drug Abuse Ontology, state-of-the-art deep learning, and knowledge-aware BERT-based models to generate sentiment and emotion for the social media posts to understand users' perceptions on social media by investigating questions such as: which synthetic opioids people are optimistic, neutral, or negative about?
