AIMC Topic: Speech

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A Multimodal Approach for Early Identification of Mild Cognitive Impairment and Alzheimer's Disease With Fusion Network Using Eye Movements and Speech.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 22, 2025
Detecting Alzheimer's disease (AD) in its earliest stages, particularly during an onset of Mild Cognitive Impairment (MCI), remains challenging due to the overlap of initial symptoms with normal aging processes. Given that no cure exists and current ...
Cognitive Dysfunction Alzheimer Disease Early Diagnosis Aged, 80 and over Speech Algorithms Male Fixation, Ocular Eye Movements Female Middle Aged Humans Aged Pupil Eye-Tracking Technology Neural Networks, Computer Neuropsychological Tests Deep Learning Reading
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Does Musical Experience Facilitate Phonetic Accommodation During Human-Robot Interaction?

Journal of speech, language, and hearing research : JSLHR Apr 21, 2025
PURPOSE: This study investigated the effect of musical training on phonetic accommodation in a second language (L2) after interacting with a social robot, exploring the motivations and reasons behind their accommodation strategies.
Cues Phonetics Multilingualism Music Male Humans Speech Female Robotics Young Adult Adult
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A comprehensive framework for multi-modal hate speech detection in social media using deep learning.

Scientific reports Apr 15, 2025
As social media platforms evolve, hate speech increasingly manifests across multiple modalities, including text, images, audio, and video, challenging traditional detection systems focused on single modalities. Hence, this research proposes a novel M...
Humans Speech Social Media Neural Networks, Computer Deep Learning
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CMDF-TTS: Text-to-speech method with limited target speaker corpus.

Neural networks : the official journal of the International Neural Network Society Apr 12, 2025
While end-to-end Text-to-Speech (TTS) methods with limited target speaker corpus can generate high-quality speech, they often require a non-target speaker corpus (auxiliary corpus) which contains a substantial amount of pairs to train ...
Humans Neural Networks, Computer Algorithms Speech
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Natural language processing models reveal neural dynamics of human conversation.

Nature communications Apr 9, 2025
Through conversation, humans engage in a complex process of alternating speech production and comprehension to communicate. The neural mechanisms that underlie these complementary processes through which information is precisely conveyed by language,...
Natural Language Processing Comprehension Speech Perception Deep Learning Speech Brain Language Female Young Adult Humans Adult Male
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Speech emotion recognition with light weight deep neural ensemble model using hand crafted features.

Scientific reports Apr 7, 2025
Automatic emotion detection has become crucial in various domains, such as healthcare, neuroscience, smart home technologies, and human-computer interaction (HCI). Speech Emotion Recognition (SER) has attracted considerable attention because of its p...
Emotions Humans Neural Networks, Computer Algorithms Deep Learning Speech
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DEMENTIA: A Hybrid Attention-Based Multimodal and Multi-Task Learning Framework With Expert Knowledge for Alzheimer's Disease Assessment From Speech.

IEEE journal of biomedical and health informatics Apr 4, 2025
The prevalence of Alzheimer's disease (AD) is rising annually, imposing a severe burden on patients and society. Therefore, assisted AD assessment is crucial. The decline in language function and the cognitive impairment it reflects are key external ...
Aged Aged, 80 and over Male Humans Machine Learning Female Speech Alzheimer Disease
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Multimodal learning-based speech enhancement and separation, recent innovations, new horizons, challenges and real-world applications.

Computers in biology and medicine Apr 1, 2025
With the increasing global prevalence of disabling hearing loss, speech enhancement technologies have become crucial for overcoming communication barriers and improving the quality of life for those affected. Multimodal learning has emerged as a powe...
Neural Networks, Computer Deep Learning Speech Humans
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A Tunable Forced Alignment System Based on Deep Learning: Applications to Child Speech.

Journal of speech, language, and hearing research : JSLHR Mar 31, 2025
PURPOSE: Phonetic forced alignment has a multitude of applications in automated analysis of speech, particularly in studying nonstandard speech such as children's speech. Manual alignment is tedious but serves as the gold standard for clinical-grade ...
Speech Production Measurement Child Language Deep Learning Speech Child, Preschool Child Phonetics Humans Female Male
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Enhancing target speaker extraction with Hierarchical Speaker Representation Learning.

Neural networks : the official journal of the International Neural Network Society Mar 27, 2025
Target speaker extraction aims to obtain the speech of the specific speaker from a mixture of multiple voices. The conventional approach exploits the target speaker embeddings from a pre-recorded speech segment as auxiliary information, providing pri...
Machine Learning Learning Speech Humans Neural Networks, Computer
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