AIMC Topic: Acoustics
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Real-Time Acoustic Scene Recognition for Elderly Daily Routines Using Edge-Based Deep Learning.
Sensors (Basel, Switzerland)
Mar 12, 2025
The demand for intelligent monitoring systems tailored to elderly living environments is rapidly increasing worldwide with population aging. Traditional acoustic scene monitoring systems that rely on cloud computing are limited by data transmission d...
Machine learning-assisted wearable sensing systems for speech recognition and interaction.
Nature communications
Mar 10, 2025
The human voice stands out for its rich information transmission capabilities. However, voice communication is susceptible to interference from noisy environments and obstacles. Here, we propose a wearable wireless flexible skin-attached acoustic sen...
Automated detection of broiler vocalizations a machine learning approach for broiler chicken vocalization monitoring.
Poultry science
Mar 4, 2025
The poultry industry relies on highly efficient production systems. For sustainable food production, where maintaining broiler welfare is crucial, it is essential to have robust data collection systems and automated methods for assessing broiler heal...
Multi-modal Language models in bioacoustics with zero-shot transfer: a case study.
Scientific reports
Feb 28, 2025
Automatically detecting sound events with Artificial Intelligence (AI) has become increas- ingly popular in the field of bioacoustics, ecoacoustics, and soundscape ecology, particularly for wildlife monitoring and conservation. Conventional methods p...
Multiorifice acoustic microrobot for boundary-free multimodal 3D swimming.
Proceedings of the National Academy of Sciences of the United States of America
Jan 22, 2025
The emerging new generation of small-scaled acoustic microrobots is poised to expedite the adoption of microrobotics in biomedical research. Recent designs of these microrobots have enabled intricate bioinspired motions, paving the way for their real...
A multi-level feature fusion artificial neural network for classification of acoustic emission signals.
Annals of the New York Academy of Sciences
Jan 13, 2025
In this paper, we introduce FUSION-ANN, a novel artificial neural network (ANN) designed for acoustic emission (AE) signal classification. FUSION-ANN comprises four distinct ANN branches, each housing an independent multilayer perceptron. We extract ...
Interpretable deep learning for acoustic leak detection in water distribution systems.
Water research
Dec 31, 2024
Leak detection is crucial for ensuring the safety of water systems and conserving water resources. However, current research on machine learning methods for leak detection focuses excessively on model development while neglecting model interpretabili...
Voice Analysis in Dogs with Deep Learning: Development of a Fully Automatic Voice Analysis System for Bioacoustics Studies.
Sensors (Basel, Switzerland)
Dec 13, 2024
Extracting behavioral information from animal sounds has long been a focus of research in bioacoustics, as sound-derived data are crucial for understanding animal behavior and environmental interactions. Traditional methods, which involve manual revi...
Imaging-guided bioresorbable acoustic hydrogel microrobots.
Science robotics
Dec 11, 2024
Micro- and nanorobots excel in navigating the intricate and often inaccessible areas of the human body, offering immense potential for applications such as disease diagnosis, precision drug delivery, detoxification, and minimally invasive surgery. De...
Speech-based personality prediction using deep learning with acoustic and linguistic embeddings.
Scientific reports
Dec 3, 2024
This study introduces a novel method for predicting the Big Five personality traits through the analysis of speech samples, advancing the field of computational personality assessment. We collected data from 2045 participants who completed a self-rep...
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