AIMC Topic: Speech

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Human-AI collaboration improves adults' oral biomechanical functions: A multi-centre, self-controlled clinical trial.

Journal of dentistry Sep 21, 2024
OBJECTIVES: Maintenance of oral muscle functions is important for survival and communication. Utilizing Artificial Intelligence (AI) as a self-health-management material has shown promise. Here we developed a functional and AI-enabled smartphone e-Or...
Mastication Hong Kong Bite Force Lip Quality of Life Speech Smartphone Mobile Applications Oral Health Tongue Biomechanical Phenomena Male Middle Aged Female Aged Humans Artificial Intelligence
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Effective Phoneme Decoding With Hyperbolic Neural Networks for High-Performance Speech BCIs.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 18, 2024
OBJECTIVE: Speech brain-computer interfaces (speech BCIs), which convert brain signals into spoken words or sentences, have demonstrated great potential for high-performance BCI communication. Phonemes are the basic pronunciation units. For monosylla...
Brain-Computer Interfaces Young Adult Algorithms Humans Phonetics Adult Speech Language Neural Networks, Computer Male Cluster Analysis Female Electroencephalography
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Machine learning-based classification of Parkinson's disease using acoustic features: Insights from multilingual speech tasks.

Computers in biology and medicine Sep 11, 2024
This study advances the automation of Parkinson's disease (PD) diagnosis by analyzing speech characteristics, leveraging a comprehensive approach that integrates a voting-based machine learning model. Given the growing prevalence of PD, especially am...
Middle Aged Speech Parkinson Disease Female Humans Aged Multilingualism Machine Learning Male Republic of Korea
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A Combined CNN Architecture for Speech Emotion Recognition.

Sensors (Basel, Switzerland) Sep 6, 2024
Emotion recognition through speech is a technique employed in various scenarios of Human-Computer Interaction (HCI). Existing approaches have achieved significant results; however, limitations persist, with the quantity and diversity of data being mo...
Humans Neural Networks, Computer Speech Emotions Pattern Recognition, Automated Algorithms Databases, Factual Deep Learning
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The Mason-Alberta Phonetic Segmenter: a forced alignment system based on deep neural networks and interpolation.

Phonetica Sep 5, 2024
Given an orthographic transcription, forced alignment systems automatically determine boundaries between segments in speech, facilitating the use of large corpora. In the present paper, we introduce a neural network-based forced alignment system, the...
Speech Phonetics Speech Acoustics Humans Neural Networks, Computer
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Speech synthesis from three-axis accelerometer signals using conformer-based deep neural network.

Computers in biology and medicine Sep 3, 2024
Silent speech interfaces (SSIs) have emerged as innovative non-acoustic communication methods, and our previous study demonstrated the significant potential of three-axis accelerometer-based SSIs to identify silently spoken words with high classifica...
Humans Neural Networks, Computer Female Speech Young Adult Signal Processing, Computer-Assisted Adult Accelerometry Male
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A dual-region speech enhancement method based on voiceprint segmentation.

Neural networks : the official journal of the International Neural Network Society Aug 31, 2024
Single-channel speech enhancement primarily relies on deep learning models to recover clean speech signals from noise-contaminated speech. These models establish a mapping relationship between noisy and clean speech. However, considering the sparse d...
Neural Networks, Computer Voice Speech Algorithms Humans Noise Deep Learning Signal Processing, Computer-Assisted
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Deep learning approach for dysphagia detection by syllable-based speech analysis with daily conversations.

Scientific reports Aug 31, 2024
Dysphagia, a disorder affecting the ability to swallow, has a high prevalence among the older adults and can lead to serious health complications. Therefore, early detection of dysphagia is important. This study evaluated the effectiveness of a newly...
Speech Deglutition Disorders Deglutition Male Middle Aged Deep Learning Humans Female Neural Networks, Computer Aged Aged, 80 and over
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Multilevel hybrid handcrafted feature extraction based depression recognition method using speech.

Journal of affective disorders Aug 9, 2024
BACKGROUND AND PURPOSE: Diagnosis of depression is based on tests performed by psychiatrists and information provided by patients or their relatives. In the field of machine learning (ML), numerous models have been devised to detect depression automa...
Humans Machine Learning Female Deep Learning Adult Speech Male Wavelet Analysis Depressive Disorder, Major
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Deep Learning for Visual Speech Analysis: A Survey.

IEEE transactions on pattern analysis and machine intelligence Aug 7, 2024
Visual speech, referring to the visual domain of speech, has attracted increasing attention due to its wide applications, such as public security, medical treatment, military defense, and film entertainment. As a powerful AI strategy, deep learning t...
Humans Image Processing, Computer-Assisted Deep Learning Speech
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