AIMC Topic: Speech Acoustics

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Automatic prediction of intelligible speaking rate for individuals with ALS from speech acoustic and articulatory samples.

International journal of speech-language pathology Nov 8, 2018
: This research aimed to automatically predict intelligible speaking rate for individuals with Amyotrophic Lateral Sclerosis (ALS) based on speech acoustic and articulatory samples. Twelve participants with ALS and two normal subjects produced a tot...
Female Aged Adult Male Middle Aged Support Vector Machine Humans Speech Disorders Amyotrophic Lateral Sclerosis Speech Recognition Software Speech Intelligibility Speech Acoustics Speech Production Measurement
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Detection of Pathological Voice Using Cepstrum Vectors: A Deep Learning Approach.

Journal of voice : official journal of the Voice Foundation Mar 19, 2018
OBJECTIVES: Computerized detection of voice disorders has attracted considerable academic and clinical interest in the hope of providing an effective screening method for voice diseases before endoscopic confirmation. This study proposes a deep-learn...
Predictive Value of Tests Signal Processing, Computer-Assisted Acoustics Sound Spectrography Speech Acoustics Middle Aged Diagnosis, Computer-Assisted Deep Learning Pilot Projects Support Vector Machine Vocal Cords Speech Production Measurement Voice Quality Dysphonia Humans Retrospective Studies Female Reproducibility of Results Aged Aged, 80 and over Young Adult Adult Male
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A Diadochokinesis-based expert system considering articulatory features of plosive consonants for early detection of Parkinson's disease.

Computer methods and programs in biomedicine Nov 16, 2017
BACKGROUND AND OBJECTIVE: A new expert system is proposed to discriminate healthy people from people with Parkinson's Disease (PD) in early stages by using Diadochokinesis tests.
Speech Acoustics Voice Case-Control Studies Support Vector Machine Parkinson Disease Expert Systems Humans Early Diagnosis Algorithms Female Reproducibility of Results Aged Aged, 80 and over Male Middle Aged
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Perspectives on Speech Timing: Coupled Oscillator Modeling of Polish and Finnish.

Phonetica Feb 23, 2017
This stud y was ai med at analyzing empirical duration data for Polish spoken at different tempos using an updated version of the Coupled Oscillator Model of speech timing and rhythm variability (O'Dell and Nieminen, 1999, 2009). We use Bayesian infe...
Speech Perception Humans Finland Language Phonetics Sampling Studies Poland Speech Acoustics Bayes Theorem Reaction Time
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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...
Biofeedback, Psychology Sound Spectrography Brain-Computer Interfaces Speech Intelligibility Phonetics Speech Acoustics Communication Devices for People with Disabilities Speech Production Measurement Humans Neural Networks, Computer Computer Systems
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Hierarchical Classification and System Combination for Automatically Identifying Physiological and Neuromuscular Laryngeal Pathologies.

Journal of voice : official journal of the Voice Foundation Oct 12, 2016
OBJECTIVES: Speech signal processing techniques have provided several contributions to pathologic voice identification, in which healthy and unhealthy voice samples are evaluated. A less common approach is to identify laryngeal pathologies, for which...
Humans Voice Disorders Databases, Factual Speech Production Measurement Male Female Voice Quality Pattern Recognition, Automated Case-Control Studies Edema Diagnosis, Computer-Assisted Speech Acoustics Support Vector Machine Vocal Cord Paralysis Predictive Value of Tests Vocal Cords Signal Processing, Computer-Assisted
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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 ...
Pattern Recognition, Physiological Voice Quality Signal Processing, Computer-Assisted Acoustics Sound Spectrography Speech Acoustics Speech Production Measurement Male Aging Middle Aged Algorithms Adolescent Female Age Factors Aged Humans Aged, 80 and over Neural Networks, Computer Young Adult Adult
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A neural-based vocoder implementation for evaluating cochlear implant coding strategies.

Hearing research Jan 14, 2016
Most simulations of cochlear implant (CI) coding strategies rely on standard vocoders that are based on purely signal processing techniques. However, these models neither account for various biophysical phenomena, such as neural stochasticity and ref...
Cochlear Implants Persons with Hearing Disabilities Speech Perception Speech Acoustics Humans Auditory Threshold Acoustic Stimulation Neural Networks, Computer Auditory Pathways Computer Simulation Cochlear Implantation Voice Quality Male Female Stochastic Processes Loudness Perception Middle Aged Adult Electric Stimulation Psychoacoustics Time Factors Electroencephalography Signal Processing, Computer-Assisted Prosthesis Design
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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...
Machine Learning Female Reproducibility of Results Young Adult Adult Male Humans Acoustics Sound Spectrography Speech Acoustics Speech Production Measurement Voice Quality Dysphonia Middle Aged Case-Control Studies Predictive Value of Tests Bayes Theorem Signal Processing, Computer-Assisted
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Automatic GRBAS Scoring of Pathological Voices using Deep Learning and a Small Set of Labeled Voice Data.

Journal of voice : official journal of the Voice Foundation May 1, 2025
OBJECTIVES: Auditory-perceptual evaluation frameworks, such as the grade-roughness-breathiness-asthenia-strain (GRBAS) scale, are the gold standard for the quantitative evaluation of pathological voice quality. However, the evaluation is subjective; ...
Speech Acoustics Voice Disorders Speech Production Measurement Voice Quality Adult Predictive Value of Tests Humans Male Neural Networks, Computer Signal Processing, Computer-Assisted Severity of Illness Index Female Acoustics Deep Learning Reproducibility of Results Observer Variation Time Factors Automation Judgment
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