AIMC Topic: Sound Spectrography

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Listening deeper: neural networks unravel acoustic features in preterm infant crying.

Scientific reports Jul 2, 2025
Early infant crying provides critical insights into neurodevelopment, with atypical acoustic features linked to conditions such as preterm birth. However, previous studies have focused on limited and specific acoustic features, hindering a more compr...
Humans Neural Networks, Computer Female Sound Spectrography Infant, Premature Gestational Age Crying Infant, Newborn Male Acoustics
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Multiclass CNN Approach for Automatic Classification of Dolphin Vocalizations.

Sensors (Basel, Switzerland) Apr 16, 2025
Monitoring dolphins in the open sea is essential for understanding their behavior and the impact of human activities on the marine ecosystems. Passive Acoustic Monitoring (PAM) is a non-invasive technique for tracking dolphins, providing continuous d...
Dolphins Vocalization, Animal Echolocation Neural Networks, Computer Animals Acoustics Sound Spectrography Bottle-Nosed Dolphin
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Pre-trained convolutional neural networks identify Parkinson's disease from spectrogram images of voice samples.

Scientific reports Mar 1, 2025
Machine learning approaches including deep learning models have shown promising performance in the automatic detection of Parkinson's disease. These approaches rely on different types of data with voice recordings being the most used due to the conve...
Neural Networks, Computer Machine Learning Female Aged Humans Voice Convolutional Neural Networks Parkinson Disease Sound Spectrography Male Middle Aged Deep Learning
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Endpoint-aware audio-visual speech enhancement utilizing dynamic weight modulation based on SNR estimation.

Neural networks : the official journal of the International Neural Network Society Jan 11, 2025
Integrating visual features has been proven effective for deep learning-based speech quality enhancement, particularly in highly noisy environments. However, these models may suffer from redundant information, resulting in performance deterioration w...
Sound Recordings Noise Sound Spectrography Signal-To-Noise Ratio Speech Intelligibility Speech Perception Voice Neural Networks, Computer Deep Learning Speech Humans
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Elephant Sound Classification Using Deep Learning Optimization.

Sensors (Basel, Switzerland) Jan 9, 2025
Elephant sound identification is crucial in wildlife conservation and ecological research. The identification of elephant vocalizations provides insights into the behavior, social dynamics, and emotional expressions, leading to elephant conservation....
Bayes Theorem Sound Sound Spectrography Animals Deep Learning Vocalization, Animal Elephants
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Prediction of Arteriovenous Access Dysfunction by Mel Spectrogram-based Deep Learning Model.

International journal of medical sciences Aug 19, 2024
The early detection of arteriovenous (AV) access dysfunction is crucial for maintaining the patency of vascular access. This study aimed to use deep learning to predict AV access malfunction necessitating further vascular management. This prospecti...
Middle Aged ROC Curve Female Humans Deep Learning Sound Spectrography Neural Networks, Computer Aged Renal Dialysis Arteriovenous Shunt, Surgical Prospective Studies Male
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Deep transfer learning-based bird species classification using mel spectrogram images.

PloS one Aug 12, 2024
The classification of bird species is of significant importance in the field of ornithology, as it plays an important role in assessing and monitoring environmental dynamics, including habitat modifications, migratory behaviors, levels of pollution, ...
Deep Learning Sound Spectrography Vocalization, Animal Neural Networks, Computer Animals Birds
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A Robust Deep Learning Framework Based on Spectrograms for Heart Sound Classification.

IEEE/ACM transactions on computational biology and bioinformatics Aug 8, 2024
Heart sound analysis plays an important role in early detecting heart disease. However, manual detection requires doctors with extensive clinical experience, which increases uncertainty for the task, especially in medically underdeveloped areas. This...
Humans Neural Networks, Computer Algorithms Deep Learning Heart Sounds Signal Processing, Computer-Assisted Sound Spectrography Fourier Analysis
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Bird song comparison using deep learning trained from avian perceptual judgments.

PLoS computational biology Aug 7, 2024
Our understanding of bird song, a model system for animal communication and the neurobiology of learning, depends critically on making reliable, validated comparisons between the complex multidimensional syllables that are used in songs. However, mos...
Conditioning, Operant Animals Finches Male Deep Learning Vocalization, Animal Humans Judgment Computational Biology Algorithms Sound Spectrography
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Spectro-temporal acoustical markers differentiate speech from song across cultures.

Nature communications Jun 6, 2024
Humans produce two forms of cognitively complex vocalizations: speech and song. It is debated whether these differ based primarily on culturally specific, learned features, or if acoustical features can reliably distinguish them. We study the spectro...
Auditory Perception Singing Sound Spectrography Cross-Cultural Comparison Music Middle Aged Speech Acoustics Young Adult Adult Male Humans Machine Learning Female
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