AIMC Topic: Sound Spectrography

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Bird sound spectrogram decomposition through Non-Negative Matrix Factorization for the acoustic classification of bird species.

PloS one Jun 19, 2017
Feature extraction for Acoustic Bird Species Classification (ABSC) tasks has traditionally been based on parametric representations that were specifically developed for speech signals, such as Mel Frequency Cepstral Coefficients (MFCC). However, the ...
Support Vector Machine Sound Spectrography Databases, Factual Animals Birds
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An intelligent artificial throat with sound-sensing ability based on laser induced graphene.

Nature communications Feb 24, 2017
Traditional sound sources and sound detectors are usually independent and discrete in the human hearing range. To minimize the device size and integrate it with wearable electronics, there is an urgent requirement of realizing the functional integrat...
Humans Artificial Intelligence Wearable Electronic Devices Pharynx Artificial Organs Graphite Equipment Design Lasers, Semiconductor Sound Speech Disorders Sound Spectrography
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Speech enhancement based on neural networks improves speech intelligibility in noise for cochlear implant users.

Hearing research Nov 30, 2016
Speech understanding in noisy environments is still one of the major challenges for cochlear implant (CI) users in everyday life. We evaluated a speech enhancement algorithm based on neural networks (NNSE) for improving speech intelligibility in nois...
Audiometry, Speech Perceptual Masking Speech Intelligibility Cochlear Implants Persons with Hearing Disabilities Speech Perception Signal Processing, Computer-Assisted Prosthesis Design Acoustics Sound Spectrography Comprehension Acoustic Stimulation Cochlear Implantation Electric Stimulation Young Adult Adult Middle Aged Neural Networks, Computer Noise Humans Algorithms Aged Aged, 80 and over
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Real-Time Control of an Articulatory-Based Speech Synthesizer for Brain Computer Interfaces.

PLoS computational biology Nov 23, 2016
Restoring natural speech in paralyzed and aphasic people could be achieved using a Brain-Computer Interface (BCI) controlling a speech synthesizer in real-time. To reach this goal, a prerequisite is to develop a speech synthesizer producing intelligi...
Humans Neural Networks, Computer Speech Intelligibility Phonetics Speech Acoustics Communication Devices for People with Disabilities Computer Systems Biofeedback, Psychology Sound Spectrography Brain-Computer Interfaces Speech Production Measurement
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An integrated model of pitch perception incorporating place and temporal pitch codes with application to cochlear implant research.

Hearing research Nov 12, 2016
Although the neural mechanisms underlying pitch perception are not yet fully understood, there is general agreement that place and temporal representations of pitch are both used by the auditory system. This paper describes a neural network model of ...
Pitch Perception Cues Neuronal Plasticity Acoustic Stimulation Cochlear Implants Prosthesis Design Auditory Pathways Humans Persons with Hearing Disabilities Acoustics Models, Psychological Neural Networks, Computer Periodicity Sound Spectrography Time Factors Pitch Discrimination
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Deep Neural Networks for Identifying Cough Sounds.

IEEE transactions on biomedical circuits and systems Sep 16, 2016
In this paper, we consider two different approaches of using deep neural networks for cough detection. The cough detection task is cast as a visual recognition problem and as a sequence-to-sequence labeling problem. A convolutional neural network and...
Algorithms Reproducibility of Results Sensitivity and Specificity Diagnosis, Computer-Assisted Pattern Recognition, Automated Cough Humans Auscultation Sound Spectrography Neural Networks, Computer
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Evolving Spiking Neural Networks for Recognition of Aged Voices.

Journal of voice : official journal of the Voice Foundation Apr 1, 2016
The aging of the voice, known as presbyphonia, is a natural process that can cause great change in vocal quality of the individual. This is a relevant problem to those people who use their voices professionally, and its early identification can help ...
Young Adult Adult Male Aging Middle Aged Adolescent Age Factors Signal Processing, Computer-Assisted Algorithms Female Aged Aged, 80 and over Humans Neural Networks, Computer Acoustics Pattern Recognition, Physiological Sound Spectrography Voice Quality Speech Acoustics Speech Production Measurement
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Minimum Entropy Rate Simplification of Stochastic Processes.

IEEE transactions on pattern analysis and machine intelligence Feb 23, 2016
We propose minimum entropy rate simplification (MERS), an information-theoretic, parameterization-independent framework for simplifying generative models of stochastic processes. Applications include improving model quality for sampling tasks by conc...
Humans Models, Statistical Models, Biological Sound Spectrography Pattern Recognition, Automated Entropy Machine Learning Speech Production Measurement Algorithms Computer Simulation Animals
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Characterizing Vocal Repertoires--Hard vs. Soft Classification Approaches.

PloS one Apr 27, 2015
To understand the proximate and ultimate causes that shape acoustic communication in animals, objective characterizations of the vocal repertoire of a given species are critical, as they provide the foundation for comparative analyses among individua...
Papio ursinus Algorithms Animals Fuzzy Logic Cluster Analysis Principal Component Analysis Acoustics Sound Spectrography Vocalization, Animal
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Human-inspired sound environment recognition system for assistive vehicles.

Journal of neural engineering Jan 14, 2015
OBJECTIVE: The human auditory system acquires environmental information under sound stimuli faster than visual or touch systems, which in turn, allows for faster human responses to such stimuli. It also complements senses such as sight, where direct ...
Man-Machine Systems Wheelchairs Auditory Perception Sound Spectrography Sensitivity and Specificity Biomimetics Automobiles Humans Pattern Recognition, Automated Robotics Neural Networks, Computer Equipment Failure Analysis Equipment Design Reproducibility of Results
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