Cargando…

Extracting the Auditory Attention in a Dual-Speaker Scenario From EEG Using a Joint CNN-LSTM Model

Human brain performs remarkably well in segregating a particular speaker from interfering ones in a multispeaker scenario. We can quantitatively evaluate the segregation capability by modeling a relationship between the speech signals present in an auditory scene, and the listener's cortical si...

Descripción completa

Detalles Bibliográficos
Autores principales:	Kuruvila, Ivine, Muncke, Jan, Fischer, Eghart, Hoppe, Ulrich
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Physiology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8365753/ https://www.ncbi.nlm.nih.gov/pubmed/34408661 http://dx.doi.org/10.3389/fphys.2021.700655

Ejemplares similares

Prediction of Speech Intelligibility by Means of EEG Responses to Sentences in Noise
por: Muncke, Jan, et al.
Publicado: (2022)

EEG-Based Intersubject Correlations Reflect Selective Attention in a Competing Speaker Scenario
por: Rosenkranz, Marc, et al.
Publicado: (2021)

Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models
por: Shoeibi, Afshin, et al.
Publicado: (2021)

EEG-based emotion recognition using hybrid CNN and LSTM classification
por: Chakravarthi, Bhuvaneshwari, et al.
Publicado: (2022)

Attention Based CNN-ConvLSTM for Pedestrian Attribute Recognition
por: Li, Yang, et al.
Publicado: (2020)

Attention based automated radiology report generation using CNN and LSTM
por: Sirshar, Mehreen, et al.
Publicado: (2022)

Solar Power Prediction Using Dual Stream CNN-LSTM Architecture
por: Alharkan, Hamad, et al.
Publicado: (2023)

EEG-fNIRS-based hybrid image construction and classification using CNN-LSTM
por: Mughal, Nabeeha Ehsan, et al.
Publicado: (2022)

Personality-Based Emotion Recognition Using EEG Signals with a CNN-LSTM Network
por: Hosseini, Mohammad Saleh Khajeh, et al.
Publicado: (2023)

Detection of Corona Faults in Switchgear by Using 1D-CNN, LSTM, and 1D-CNN-LSTM Methods
por: Mohammed Alsumaidaee, Yaseen Ahmed, et al.
Publicado: (2023)

Entity recognition in Chinese clinical text using attention-based CNN-LSTM-CRF
por: Tang, Buzhou, et al.
Publicado: (2019)

CNN-LSTM Facial Expression Recognition Method Fused with Two-Layer Attention Mechanism
por: Ming, Ye, et al.
Publicado: (2022)

CHP Engine Anomaly Detection Based on Parallel CNN-LSTM with Residual Blocks and Attention
por: Chung, Won Hee, et al.
Publicado: (2023)

Machine Fault Detection Using a Hybrid CNN-LSTM Attention-Based Model
por: Borré, Andressa, et al.
Publicado: (2023)

A One-Dimensional CNN-LSTM Model for Epileptic Seizure Recognition Using EEG Signal Analysis
por: Xu, Gaowei, et al.
Publicado: (2020)

An enhanced CNN-LSTM remaining useful life prediction model for aircraft engine with attention mechanism
por: Li, Hao, et al.
Publicado: (2022)

Deep CNN-LSTM With Self-Attention Model for Human Activity Recognition Using Wearable Sensor
Publicado: (2022)

A wearable-based sports health monitoring system using CNN and LSTM with self-attentions
por: Wang, Tao Yuhuan, et al.
Publicado: (2023)

Data glove-based gesture recognition using CNN-BiLSTM model with attention mechanism
por: Wu, Jiawei, et al.
Publicado: (2023)

CNN-Bi-LSTM: A Complex Environment-Oriented Cattle Behavior Classification Network Based on the Fusion of CNN and Bi-LSTM
por: Gao, Guohong, et al.
Publicado: (2023)

Automated recognition of epilepsy from EEG signals using a combining space–time algorithm of CNN-LSTM
por: Wang, Xiashuang, et al.
Publicado: (2023)

Dual Memory LSTM with Dual Attention Neural Network for Spatiotemporal Prediction
por: Li, Teng, et al.
Publicado: (2021)

CNN-LSTM vs. LSTM-CNN to Predict Power Flow Direction: A Case Study of the High-Voltage Subnet of Northeast Germany
por: Aksan, Fachrizal, et al.
Publicado: (2023)

DA-LSTM-VAE: Dual-Stage Attention-Based LSTM-VAE for KPI Anomaly Detection
por: Zhao, Yun, et al.
Publicado: (2022)

Utilizing CNN-LSTM techniques for the enhancement of medical systems
por: Rayan, Alanazi, et al.
Publicado: (2023)

Multi-Input CNN-LSTM deep learning model for fear level classification based on EEG and peripheral physiological signals
por: Masuda, Nagisa, et al.
Publicado: (2023)

Speaker-independent auditory attention decoding without access to clean speech sources
por: Han, Cong, et al.
Publicado: (2019)

Attention-based hybrid CNN-LSTM and spectral data augmentation for COVID-19 diagnosis from cough sound
por: Hamdi, Skander, et al.
Publicado: (2022)

NLOS Identification in WLANs Using Deep LSTM with CNN Features
por: Nguyen, Viet-Hung, et al.
Publicado: (2018)

A Deep CNN-LSTM Framework for Fast Video Coding
por: Bouaafia, Soulef, et al.
Publicado: (2020)

CNN and LSTM-Based Emotion Charting Using Physiological Signals
por: Dar, Muhammad Najam, et al.
Publicado: (2020)

Predicting Geolocation of Tweets: Using Combination of CNN and BiLSTM
por: Mahajan, Rhea, et al.
Publicado: (2021)

ECG signal classification based on deep CNN and BiLSTM
por: Cheng, Jinyong, et al.
Publicado: (2021)

Intelligent automatic sleep staging model based on CNN and LSTM
por: Zhuang, Lan, et al.
Publicado: (2022)

The Evaluation on the Credit Risk of Enterprises with the CNN-LSTM-ATT Model
por: Zhang, Lei
Publicado: (2022)

Development of CNN-LSTM combinational architecture for COVID-19 detection
por: Narula, Abhinav, et al.
Publicado: (2022)

Expression EEG Multimodal Emotion Recognition Method Based on the Bidirectional LSTM and Attention Mechanism
por: Zhao, Yifeng, et al.
Publicado: (2021)

CNN-LSTM Hybrid Real-Time IoT-Based Cognitive Approaches for ISLR with WebRTC: Auditory Impaired Assistive Technology
por: Gupta, Meenu, et al.
Publicado: (2022)

High-Level CNN and Machine Learning Methods for Speaker Recognition
por: Costantini, Giovanni, et al.
Publicado: (2023)

Mobile ear-EEG to study auditory attention in everyday life: Auditory attention in everyday life
por: Hölle, Daniel, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_lpfeqeh35ur14ldjvdhvoc8b3s