Electrical Engineering and Systems Science

Researchers are developing synthetic voice data to protect privacy in voice recognition.

VoxtLM combines speech recognition, synthesis, text generation, and continuation in one model.

New system enhances speech recognition using context-aware prompts.

EnCodecMAE combines self-supervised learning and audio codecs for improved audio task performance.

A study on using machine learning to identify children's sounds for ASD assessment.

Introducing a flexible method for recognizing keywords in speech across languages.

A look at how speech quality is tested using crowdsourcing.

A new method trains audio captioning systems using only text descriptions.

AI transforms how we diagnose and treat diseases in pathology.

InSPECtor optimizes hyperspectral imaging through efficient data collection and processing.

Multisource holography reduces speckle noise and improves image quality in holography.

A dataset tailored for testing video quality in conferencing situations.

Using ML methods to improve detection of Alzheimer's Disease through data strategies.

Researchers develop new techniques for efficient DNA data storage and error management.

This article examines the impact of dataset characteristics on machine learning model accuracy.

NISF enhances anatomical shape segmentation in medical imaging with improved accuracy.

A new method improves DOA estimation using one-bit-aided modulo sampling.

This research examines optimization guarantees of unfolded networks in machine learning.

Examining the role of channel models in 5G communication for industrial settings.

This article explores new wireless technologies to improve connectivity for users.

This research explores how altered feedback enhances sEMG gesture classification learning.

A method for better gesture recognition using muscle signals.

Combining contrastive learning with simplicial complexes improves data representation and analysis.

Using survival analysis to improve ball bearing maintenance and reduce machine downtime.

Innovative control framework enhances robot safety in human environments.

Introducing RHPG: a promising algorithm for optimal state estimation.

A new system optimizes language models for faster, more efficient responses.

A set-based approach for accurate monitoring amid sensor attacks.

Learn essential techniques for optimizing electricity distribution management during peak demand.

Integrating risk considerations into reinforcement learning enhances decision-making safety.

A guide to crafting a well-structured scientific paper for publication.

ChatMPC allows users to personalize robots through real-time natural language interactions.