AIMC Topic: Speech

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Crossmixed convolutional neural network for digital speech recognition.

PloS one Apr 26, 2024
Digital speech recognition is a challenging problem that requires the ability to learn complex signal characteristics such as frequency, pitch, intensity, timbre, and melody, which traditional methods often face issues in recognizing. This article in...
Neural Networks, Computer Algorithms Speech Recognition Software Speech Humans
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Improving speech depression detection using transfer learning with wav2vec 2.0 in low-resource environments.

Scientific reports Apr 25, 2024
Depression, a pervasive global mental disorder, profoundly impacts daily lives. Despite numerous deep learning studies focused on depression detection through speech analysis, the shortage of annotated bulk samples hampers the development of effectiv...
Neural Networks, Computer Deep Learning Speech Humans Depression
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Imagined speech classification exploiting EEG power spectrum features.

Medical & biological engineering & computing Apr 18, 2024
Imagined speech recognition has developed as a significant topic of research in the field of brain-computer interfaces. This innovative technique has great promise as a communication tool, providing essential help to those with impairments. An imagin...
Adult Male Speech Female Young Adult Signal Processing, Computer-Assisted Brain-Computer Interfaces Imagination Algorithms Support Vector Machine Humans Brain Electroencephalography
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Spatial reconstructed local attention Res2Net with F0 subband for fake speech detection.

Neural networks : the official journal of the International Neural Network Society Apr 16, 2024
The rhythm of bonafide speech is often difficult to replicate, which causes that the fundamental frequency (F0) of synthetic speech is significantly different from that of real speech. It is expected that the F0 feature contains the discriminative in...
Speech Attention Neural Networks, Computer Humans Algorithms
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Validation of Machine Learning-Based Assessment of Major Depressive Disorder from Paralinguistic Speech Characteristics in Routine Care.

Depression and anxiety Apr 9, 2024
New developments in machine learning-based analysis of speech can be hypothesized to facilitate the long-term monitoring of major depressive disorder (MDD) during and after treatment. To test this hypothesis, we collected 550 speech samples from tele...
Speech Psychiatric Status Rating Scales Adult Sensitivity and Specificity Middle Aged Male Female Humans Depressive Disorder, Major Machine Learning Young Adult
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Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model.

Journal of affective disorders Mar 27, 2024
BACKGROUND: Prior research has associated spoken language use with depression, yet studies often involve small or non-clinical samples and face challenges in the manual transcription of speech. This paper aimed to automatically identify depression-re...
Depression Smartphone Deep Learning Speech Speech Recognition Software Humans
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Toward Generalizable Machine Learning Models in Speech, Language, and Hearing Sciences: Estimating Sample Size and Reducing Overfitting.

Journal of speech, language, and hearing research : JSLHR Feb 22, 2024
PURPOSE: Many studies using machine learning (ML) in speech, language, and hearing sciences rely upon cross-validations with single data splitting. This study's first purpose is to provide quantitative evidence that would incentivize researchers to i...
Language Speech Hearing Sample Size Humans Machine Learning
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Decoding Single and Paired Phonemes Using 7T Functional MRI.

Brain topography Jan 23, 2024
Several studies have shown that mouth movements related to the pronunciation of individual phonemes are represented in the sensorimotor cortex. This would theoretically allow for brain computer interfaces that are capable of decoding continuous speec...
Phonetics Sensorimotor Cortex Humans Speech Support Vector Machine Young Adult Brain Mapping Brain Magnetic Resonance Imaging Adult Female Brain-Computer Interfaces Male
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Speech emotion analysis using convolutional neural network (CNN) and gamma classifier-based error correcting output codes (ECOC).

Scientific reports Nov 21, 2023
Speech emotion analysis is one of the most basic requirements for the evolution of Artificial Intelligence (AI) in the field of human-machine interaction. Accurate emotion recognition in speech can be effective in applications such as online support,...
Humans Neural Networks, Computer Speech Artificial Intelligence Emotions Machine Learning
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Reliability and validity of a widely-available AI tool for assessment of stress based on speech.

Scientific reports Nov 18, 2023
Cigna's online stress management toolkit includes an AI-based tool that purports to evaluate a person's psychological stress level based on analysis of their speech, the Cigna StressWaves Test (CSWT). In this study, we evaluate the claim that the CSW...
Speech Artificial Intelligence Reproducibility of Results Humans
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