AIMC Topic: Speech

Clear Filters Showing 81 to 90 of 368 articles

The Collaboverse: A Collaborative Data-Sharing and Speech Analysis Platform.

Journal of speech, language, and hearing research : JSLHR Jul 12, 2024
PURPOSE: Collaboration in the field of speech-language pathology occurs across a variety of digital devices and can entail the usage of multiple software tools, systems, file formats, and even programming languages. Unfortunately, gaps between the la...
Humans Machine Learning Information Dissemination Speech-Language Pathology Cooperative Behavior Software Speech Internet
View on PubMed DOI

Speech decoding from stereo-electroencephalography (sEEG) signals using advanced deep learning methods.

Journal of neural engineering Jun 27, 2024
Brain-computer interfaces (BCIs) are technologies that bypass damaged or disrupted neural pathways and directly decode brain signals to perform intended actions. BCIs for speech have the potential to restore communication by decoding the intended spe...
Humans Neural Networks, Computer Female Speech Electroencephalography Epilepsy Adult Male Deep Learning Brain-Computer Interfaces Stereotaxic Techniques
View on PubMed DOI

Prediction of Alzheimer's disease progression within 6 years using speech: A novel approach leveraging language models.

Alzheimer's & dementia : the journal of the Alzheimer's Association Jun 25, 2024
INTRODUCTION: Identification of individuals with mild cognitive impairment (MCI) who are at risk of developing Alzheimer's disease (AD) is crucial for early intervention and selection of clinical trials.
Natural Language Processing Alzheimer Disease Neuropsychological Tests Aged Aged, 80 and over Male Disease Progression Speech Cognitive Dysfunction Humans Machine Learning Female
View on PubMed DOI

Spectro-temporal acoustical markers differentiate speech from song across cultures.

Nature communications Jun 6, 2024
Humans produce two forms of cognitively complex vocalizations: speech and song. It is debated whether these differ based primarily on culturally specific, learned features, or if acoustical features can reliably distinguish them. We study the spectro...
Singing Cross-Cultural Comparison Music Auditory Perception Machine Learning Adult Humans Female Male Middle Aged Speech Young Adult Acoustics Sound Spectrography
View on PubMed DOI

Emotion recognition for human-computer interaction using high-level descriptors.

Scientific reports May 27, 2024
Recent research has focused extensively on employing Deep Learning (DL) techniques, particularly Convolutional Neural Networks (CNN), for Speech Emotion Recognition (SER). This study addresses the burgeoning interest in leveraging DL for SER, specifi...
Social Media Bayes Theorem Deep Learning Speech Emotions Neural Networks, Computer Algorithms Language Humans
View on PubMed DOI

Improving span-based Aspect Sentiment Triplet Extraction with part-of-speech filtering and contrastive learning.

Neural networks : the official journal of the International Neural Network Society May 10, 2024
Aspect Sentiment Triple Extraction (ASTE), a subtask of fine-grained sentiment analysis, aims to extract aspect terms, opinion terms, and their corresponding sentiment polarities from sentences. Previous methods often enumerated all possible spans of...
Humans Neural Networks, Computer Machine Learning Algorithms Speech Natural Language Processing
View on PubMed DOI

Machine learning decoding of single neurons in the thalamus for speech brain-machine interfaces.

Journal of neural engineering May 9, 2024
. Our goal is to decode firing patterns of single neurons in the left ventralis intermediate nucleus (Vim) of the thalamus, related to speech production, perception, and imagery. For realistic speech brain-machine interfaces (BMIs), we aim to charact...
Brain-Computer Interfaces Adult Thalamus Male Machine Learning Humans Speech Speech Perception Middle Aged Female Neurons Aged Deep Brain Stimulation
View on PubMed DOI

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...
Speech Humans Speech Recognition Software Neural Networks, Computer Algorithms
View on PubMed DOI

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 Humans Deep Learning Speech Depression
View on PubMed DOI

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 Humans Speech Brain-Computer Interfaces Algorithms Brain Support Vector Machine Imagination Female Electroencephalography Young Adult Signal Processing, Computer-Assisted
View on PubMed DOI
Popular Topics
Recent Journals