AIMC Topic: Sound Spectrography

Clear Filters Showing 41 to 50 of 71 articles

Classification of sounds from Pacific white-sided dolphins using a convolutional neural network and a method to reduce false-positive detections.

The Journal of the Acoustical Society of America Jun 1, 2025
An automatic detector for identifying the clicks and pulsed calls of Pacific white-sided dolphins (Lagenorhynchus obliquidens) was developed using a convolutional neural network architecture for passive acoustic monitoring, particularly in the areas ...
Neural Networks, Computer Acoustics Sound Spectrography Dolphins Vocalization, Animal Animals Convolutional Neural Networks Signal Processing, Computer-Assisted Japan
View on PubMed DOI

Characteristics of lung sounds in early infants using automated analysis.

European journal of pediatrics May 13, 2025
UNLABELLED: A new lung sound analysis software program has been developed. It can automatically select a typical lung sound spectrogram and calculate lung sound parameters using machine learning programs. This study aimed to clarify lung sound charac...
Sound Spectrography Supine Position Respiratory Sounds Female Male Infant Child, Preschool Humans Machine Learning Software
View on PubMed DOI

Different Performances of Machine Learning Models to Classify Dysphonic and Non-Dysphonic Voices.

Journal of voice : official journal of the Voice Foundation May 1, 2025
OBJECTIVE: To analyze the performance of 10 different machine learning (ML) classifiers for discrimination between dysphonic and non-dysphonic voices, using a variance threshold as a method for the selection and reduction of acoustic measurements use...
Speech Acoustics Speech Production Measurement Voice Quality Dysphonia Bayes Theorem Signal Processing, Computer-Assisted Acoustics Reproducibility of Results Sound Spectrography Humans Young Adult Middle Aged Machine Learning Adult Case-Control Studies Female Predictive Value of Tests Male
View on PubMed DOI

Detection of Neurogenic Voice Disorders Using the Fisher Vector Representation of Cepstral Features.

Journal of voice : official journal of the Voice Foundation May 1, 2025
Neurogenic voice disorders (NVDs) are caused by damage or malfunction of the central or peripheral nervous system that controls vocal fold movement. In this paper, we investigate the potential of the Fisher vector (FV) encoding in automatic detection...
Voice Disorders Speech Production Measurement Phonation Predictive Value of Tests Voice Quality Dysphonia Signal Processing, Computer-Assisted Male Speech Acoustics Humans Reproducibility of Results Acoustics Vocal Cord Paralysis Databases, Factual Sound Spectrography Middle Aged Aged Vocal Cords Female Case-Control Studies Young Adult Support Vector Machine Adult
View on PubMed DOI

Classification of Bryde's whale individuals using high-resolution time-frequency transforms and support vector machines.

The Journal of the Acoustical Society of America Mar 1, 2025
Whales generate vocalizations which may, deliberately or not, encode caller identity cues. In this study, we analyze calls produced by Bryde's whales and recorded by ocean-bottom arrays of hydrophones deployed close to the Costa Rica Rift in the Pana...
Whales Animals Time Factors Support Vector Machine Signal Processing, Computer-Assisted Acoustics Sound Spectrography Vocalization, Animal Fourier Analysis
View on PubMed DOI

The machine learning-based prediction of the sound pressure level from pathological and healthy speech signals.

The Journal of the Acoustical Society of America Mar 1, 2025
Vocal intensity is quantified by sound pressure level (SPL). The SPL can be measured by either using a sound level meter or by comparing the energy of the recorded speech signal with the energy of the recorded calibration tone of a known SPL. Neither...
Female Aged Adult Male Humans Machine Learning Pressure Speech Acoustics Speech Production Measurement Voice Quality Middle Aged Case-Control Studies Signal Processing, Computer-Assisted Sound Spectrography
View on PubMed DOI

Rapid detection of fish calls within diverse coral reef soundscapes using a convolutional neural networka).

The Journal of the Acoustical Society of America Mar 1, 2025
The quantity of passive acoustic data collected in marine environments is rapidly expanding; however, the software developments required to meaningfully process large volumes of soundscape data have lagged behind. A significant bottleneck in the anal...
Sound Spectrography Time Factors United States Virgin Islands Fishes Signal Processing, Computer-Assisted Humans Vocalization, Animal Neural Networks, Computer Acoustics Coral Reefs Animals Sound
View on PubMed DOI

The development of deep convolutional generative adversarial network to synthesize odontocetes' clicks.

The Journal of the Acoustical Society of America Jan 1, 2025
Odontocetes are capable of dynamically changing their echolocation clicks to efficiently detect targets, and learning their clicking strategy can facilitate the design of man-made detecting signals. In this study, we developed deep convolutional gene...
Vocalization, Animal Echolocation Generative Adversarial Networks Porpoises Acoustics Neural Networks, Computer Sound Spectrography Animals Bottle-Nosed Dolphin Deep Learning Signal Processing, Computer-Assisted
View on PubMed DOI

Automated detection of Bornean white-bearded gibbon (Hylobates albibarbis) vocalizations using an open-source framework for deep learning.

The Journal of the Acoustical Society of America Sep 1, 2024
Passive acoustic monitoring is a promising tool for monitoring at-risk populations of vocal species, yet, extracting relevant information from large acoustic datasets can be time-consuming, creating a bottleneck at the point of analysis. To address t...
Sound Spectrography Vocalization, Animal Hylobates Borneo Animals Deep Learning Signal Processing, Computer-Assisted Acoustics
View on PubMed DOI

Cough-DL: A Deep Learning Model for Ear-Worn Cough Detection.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Cough serves as a crucial bio-marker for evaluation and monitoring of pulmonary conditions. With growing interest towards automatic cough detection systems, it's important to acknowledge the existing hurdles on the way for a robust cough counter. The...
Humans Deep Learning Wearable Electronic Devices Cough Signal Processing, Computer-Assisted Sound Spectrography Monitoring, Ambulatory
View on PubMed DOI
Popular Topics
Recent Journals