AIMC Topic: Voice Quality

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Developing a smart system for binary classification of disordered voices using machine learning.

American journal of otolaryngology Jan 1, 2025
OBJECTIVES: Voice disorder is characterized by disruptions in voice quality caused by issues in vocal fold vibration during phonation. The study explored the application of machine learning, based on the Random Forest (RF) and Decision Tree (DT) mode...
Databases, Factual Female Aged Young Adult Humans Machine Learning Decision Trees Speech Acoustics Voice Disorders Voice Quality Adult Male Middle Aged ROC Curve
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Digital Avatars and Personalized Voices-How AI Is Helping to Restore Speech to Patients.

JAMA Apr 16, 2024
Avatar Humans Artificial Intelligence Speech Equipment and Supplies Voice Aphasia Voice Quality
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[Current methods of acoustic analysis of voice: a review].

Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery Dec 1, 2022
Acoustic analysis of the voice, as an objective, quantitative, non-invasive and reproducible method for the evaluation of voice quality, can be used to detect and analyze the acoustic characteristics of normal, artistic or pathological voice. With th...
Acoustics Humans Speech Acoustics Artificial Intelligence Voice Voice Quality
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A transfer learning approach to goodness of pronunciation based automatic mispronunciation detection.

The Journal of the Acoustical Society of America Nov 1, 2017
Goodness of pronunciation (GOP) is the most widely used method for automatic mispronunciation detection. In this paper, a transfer learning approach to GOP based mispronunciation detection when applying maximum F1-score criterion (MFC) training to de...
Software Deep Learning Signal Processing, Computer-Assisted Acoustics Humans Speech Perception Phonetics Speech Acoustics Speech Production Measurement Markov Chains Pattern Recognition, Automated Judgment Voice Quality
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Convolutional neural network-based automatic classification of midsagittal tongue gestural targets using B-mode ultrasound images.

The Journal of the Acoustical Society of America Jun 1, 2017
Tongue gestural target classification is of great interest to researchers in the speech production field. Recently, deep convolutional neural networks (CNN) have shown superiority to standard feature extraction techniques in a variety of domains. In ...
Speech Acoustics Voice Quality Neural Networks, Computer Signal Processing, Computer-Assisted Female Tongue Biomechanical Phenomena Pattern Recognition, Automated Male Deep Learning Gestures Ultrasonography Humans
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Auditory feature representation using convolutional restricted Boltzmann machine and Teager energy operator for speech recognition.

The Journal of the Acoustical Society of America Jun 1, 2017
In this letter, authors propose an auditory feature representation technique with the filterbank learned using an annealing dropout convolutional restricted Boltzmann machine (ConvRBM) and noise-robust energy estimation using the Teager energy operat...
Speech Production Measurement Voice Quality Machine Learning Time Factors Signal Processing, Computer-Assisted Acoustics Sound Spectrography Pattern Recognition, Automated Speech Acoustics Humans Neural Networks, Computer
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Estimating the spectral tilt of the glottal source from telephone speech using a deep neural network.

The Journal of the Acoustical Society of America Apr 1, 2017
Estimation of the spectral tilt of the glottal source has several applications in speech analysis and modification. However, direct estimation of the tilt from telephone speech is challenging due to vocal tract resonances and distortion caused by spe...
Humans Female Male Deep Learning Signal Processing, Computer-Assisted Acoustics Sound Spectrography Telephone Speech Acoustics Voice Quality Speech Production Measurement Glottis Phonation
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Restoring speech following total removal of the larynx by a learned transformation from sensor data to acoustics.

The Journal of the Acoustical Society of America Mar 1, 2017
Total removal of the larynx may be required to treat laryngeal cancer: speech is lost. This article shows that it may be possible to restore speech by sensing movement of the remaining speech articulators and use machine learning algorithms to derive...
Biomechanical Phenomena Transducers Time Factors Tongue Lip Recovery of Function Magnets Voice Quality Humans Speech Intelligibility Signal Processing, Computer-Assisted Magnetic Fields Larynx, Artificial Machine Learning Prosthesis Design Speech Acoustics Magnetics Acoustics Laryngectomy Sound Spectrography
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Long-Term Voice Outcomes After Robotic Thyroidectomy.

World journal of surgery Jan 1, 2016
BACKGROUND: The purpose of this study was to evaluate the long-term voice function after robotic thyroidectomy in comparison with conventional transcervical thyroidectomy.
Voice Quality Male Humans Thyroid Neoplasms Follow-Up Studies Middle Aged Female Thyroid Nodule Robotics Time Factors Adult Treatment Outcome Thyroidectomy Patient Satisfaction Voice Disorders
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