AIMC Topic: Speech

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One-dimensional convolutional neural network and hybrid deep-learning paradigm for classification of specific language impaired children using their speech.

Computer methods and programs in biomedicine Oct 22, 2021
BACKGROUND AND OBJECTIVE: Screening children for communicational disorders such as specific language impairment (SLI) is always challenging as it requires clinicians to follow a series of steps to evaluate the subjects. Artificial intelligence and co...
Speech Child Reproducibility of Results Deep Learning Neural Networks, Computer Humans Artificial Intelligence
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Attention-Based Joint Training of Noise Suppression and Sound Event Detection for Noise-Robust Classification.

Sensors (Basel, Switzerland) Oct 9, 2021
Sound event detection (SED) recognizes the corresponding sound event of an incoming signal and estimates its temporal boundary. Although SED has been recently developed and used in various fields, achieving noise-robust SED in a real environment is t...
Noise Sound Signal-To-Noise Ratio Neural Networks, Computer Speech
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Localizing category-related information in speech with multi-scale analyses.

PloS one Oct 1, 2021
Measurements of the physical outputs of speech-vocal tract geometry and acoustic energy-are high-dimensional, but linguistic theories posit a low-dimensional set of categories such as phonemes and phrase types. How can it be determined when and where...
Discriminant Analysis Acoustics Humans Tongue Speech Neural Networks, Computer Speech Perception Gestures Machine Learning Algorithms
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Recognition of EEG Signals from Imagined Vowels Using Deep Learning Methods.

Sensors (Basel, Switzerland) Sep 29, 2021
The use of imagined speech with electroencephalographic (EEG) signals is a promising field of brain-computer interfaces (BCI) that seeks communication between areas of the cerebral cortex related to language and devices or machines. However, the comp...
Algorithms Deep Learning Speech Humans Electroencephalography Brain-Computer Interfaces
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A High-Efficiency Fatigued Speech Feature Selection Method for Air Traffic Controllers Based on Improved Compressed Sensing.

Journal of healthcare engineering Sep 25, 2021
Air traffic controller fatigue has recently received considerable attention from researchers because it is one of the main causes of air traffic incidents. Numerous research studies have been conducted to extract speech features related to fatigue, a...
China Humans Support Vector Machine Speech
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ConAnomaly: Content-Based Anomaly Detection for System Logs.

Sensors (Basel, Switzerland) Sep 13, 2021
Enterprise systems typically produce a large number of logs to record runtime states and important events. Log anomaly detection is efficient for business management and system maintenance. Most existing log-based anomaly detection methods use log pa...
Speech Semantics Neural Networks, Computer Machine Learning
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Personal Resilience Can Be Well Estimated from Heart Rate Variability and Paralinguistic Features during Human-Robot Conversations.

Sensors (Basel, Switzerland) Aug 30, 2021
Mental health is as crucial as physical health, but it is underappreciated by mainstream biomedical research and the public. Compared to the use of AI or robots in physical healthcare, the use of AI or robots in mental healthcare is much more limited...
Social Interaction Robotics Heart Rate Humans Communication Speech
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Machine learning approach to measurement of criticism: The core dimension of expressed emotion.

Journal of family psychology : JFP : journal of the Division of Family Psychology of the American Psychological Association (Division 43) Aug 19, 2021
Expressed emotion (EE), a measure of the family's emotional climate, is a fundamental measure in caregiving research. A core dimension of EE is the level of criticism expressed by the caregiver to the care recipient, with a high level of criticism a ...
Expressed Emotion Adult Children Schizophrenic Psychology Mother-Child Relations Young Adult Mothers Adult Caregivers Speech Female Humans Schizophrenia Aged Machine Learning Male
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Multi-Modal Residual Perceptron Network for Audio-Video Emotion Recognition.

Sensors (Basel, Switzerland) Aug 12, 2021
Emotion recognition is an important research field for human-computer interaction. Audio-video emotion recognition is now attacked with deep neural network modeling tools. In published papers, as a rule, the authors show only cases of the superiority...
Neural Networks, Computer Speech Emotions Motion Pictures Humans
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Sch-net: a deep learning architecture for automatic detection of schizophrenia.

Biomedical engineering online Aug 3, 2021
BACKGROUND: Schizophrenia is a chronic and severe mental disease, which largely influences the daily life and work of patients. Clinically, schizophrenia with negative symptoms is usually misdiagnosed. The diagnosis is also dependent on the experienc...
Speech Child Databases, Factual Deep Learning Schizophrenia Humans Neural Networks, Computer
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