AIMC Topic: Sound Spectrography

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Accelerated construction of stress relief music datasets using CNN and the Mel-scaled spectrogram.

PloS one May 24, 2024
Listening to music is a crucial tool for relieving stress and promoting relaxation. However, the limited options available for stress-relief music do not cater to individual preferences, compromising its effectiveness. Traditional methods of curating...
Humans Neural Networks, Computer Female Stress, Psychological Sound Spectrography Music Therapy Music Young Adult Adult Male Deep Learning
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A Speech Recognition Method Based on Domain-Specific Datasets and Confidence Decision Networks.

Sensors (Basel, Switzerland) Jun 29, 2023
This paper proposes a speech recognition method based on a domain-specific language speech network (DSL-Net) and a confidence decision network (CD-Net). The method involves automatically training a domain-specific dataset, using pre-trained model par...
Speech Perception Models, Theoretical Sound Spectrography Datasets as Topic Speech Recognition Software Neural Networks, Computer Speech
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Pathological Voice Detection Based on Phase Reconstitution and Convolutional Neural Network.

Journal of voice : official journal of the Voice Foundation Oct 21, 2022
The nonlinear dynamic features can effectively describe the acoustic characteristics of normal and pathological voice. In this paper, the phase space reconstruction and convolution neural network are used to classify the normal and pathological voice...
Neural Networks, Computer Databases, Factual Female Reproducibility of Results Humans Nonlinear Dynamics Predictive Value of Tests Speech Production Measurement Speech Acoustics Signal Processing, Computer-Assisted Voice Quality Vocal Cord Paralysis Acoustics Male Voice Disorders Sound Spectrography Case-Control Studies Convolutional Neural Networks Time Factors
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Performance of Acoustic Measures for the Discrimination Among Healthy, Rough, Breathy, and Strained Voices Using the Feedforward Neural Network.

Journal of voice : official journal of the Voice Foundation Aug 23, 2022
OBJECTIVE: To identify and evaluate the best set of acoustic measures to discriminate among healthy, rough, breathy, and strained voices.
Acoustics Sound Spectrography Speech Acoustics Voice Disorders Case-Control Studies Adolescent Predictive Value of Tests Signal Processing, Computer-Assisted Speech Production Measurement Voice Quality Feedforward Neural Networks Algorithms Female Reproducibility of Results Aged Young Adult Adult Male Middle Aged Humans Neural Networks, Computer
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The Acoustic Dissection of Cough: Diving Into Machine Listening-based COVID-19 Analysis and Detection.

Journal of voice : official journal of the Voice Foundation Jun 15, 2022
OBJECTIVES: The coronavirus disease 2019 (COVID-19) has caused a crisis worldwide. Amounts of efforts have been made to prevent and control COVID-19's transmission, from early screenings to vaccinations and treatments. Recently, due to the spring up ...
Acoustics Sound Spectrography Middle Aged Predictive Value of Tests Cough Signal Processing, Computer-Assisted Humans Machine Learning COVID-19 Female SARS-CoV-2 Adult Male
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The Effect of the MFCC Frame Length in Automatic Voice Pathology Detection.

Journal of voice : official journal of the Voice Foundation Apr 27, 2022
Automatic voice pathology detection is a research topic, which has gained increasing interest recently. Although methods based on deep learning are becoming popular, the classical pipeline systems based on a two-stage architecture consisting of a fea...
Humans Databases, Factual Reproducibility of Results Support Vector Machine Dysphonia Predictive Value of Tests Speech Acoustics Signal Processing, Computer-Assisted Voice Disorders Acoustics Speech Production Measurement Sound Spectrography Voice Quality Automation
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Finding, visualizing, and quantifying latent structure across diverse animal vocal repertoires.

PLoS computational biology Oct 15, 2020
Animals produce vocalizations that range in complexity from a single repeated call to hundreds of unique vocal elements patterned in sequences unfolding over hours. Characterizing complex vocalizations can require considerable effort and a deep intui...
Vocalization, Animal Chiroptera Voice Cluster Analysis Unsupervised Machine Learning Sound Spectrography Humans Songbirds Algorithms Databases, Factual Animals Mice Computational Biology
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Characterizing soundscapes across diverse ecosystems using a universal acoustic feature set.

Proceedings of the National Academy of Sciences of the United States of America Jul 7, 2020
Natural habitats are being impacted by human pressures at an alarming rate. Monitoring these ecosystem-level changes often requires labor-intensive surveys that are unable to detect rapid or unanticipated environmental changes. Here we have developed...
Machine Learning Ecosystem Speech Firearms Environmental Monitoring Forestry Acoustics Sound Sound Spectrography
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Visual Speech Recognition: Improving Speech Perception in Noise through Artificial Intelligence.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery May 26, 2020
OBJECTIVES: To compare speech perception (SP) in noise for normal-hearing (NH) individuals and individuals with hearing loss (IWHL) and to demonstrate improvements in SP with use of a visual speech recognition program (VSRP).
Visual Perception Humans Young Adult Noise Adult Artificial Intelligence Sound Spectrography Middle Aged Prospective Studies Hearing Loss Case-Control Studies Speech Perception
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Classification of Dried Strawberry by the Analysis of the Acoustic Sound with Artificial Neural Networks.

Sensors (Basel, Switzerland) Jan 16, 2020
In this paper, the authors used an acoustic wave acting as a disturbance (acoustic vibration), which travelled in all directions on the whole surface of a dried strawberry fruit in its specified area. The area of space in which the acoustic wave occu...
Acoustics Fragaria Neural Networks, Computer Sound Spectrography Food Analysis Fruit Signal Processing, Computer-Assisted Desiccation
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