Nonlinear analysis of eye-tracking information for motor imagery assessments
This study investigates the assessment of motor imagery (MI) ability in humans. Commonly,
MI ability is measured through two methodologies: a self-administered questionnaire (MIQ …
MI ability is measured through two methodologies: a self-administered questionnaire (MIQ …
[图书][B] New directions in behavioral biometrics
K Saeed - 2016 - taylorfrancis.com
Automatic biometrics recognition techniques are increasingly important in corporate and
public security systems and have increased in methods due to rapid field development. This …
public security systems and have increased in methods due to rapid field development. This …
Comparative analysis of speaker identification performance using deep learning, machine learning, and novel subspace classifiers with multiple feature extraction …
S Keser, E Gezer - Digital Signal Processing, 2025 - Elsevier
Speaker identification is vital in various application domains, such as automation, security,
and enhancing user experience. In the literature, convolutional neural network (CNN) or …
and enhancing user experience. In the literature, convolutional neural network (CNN) or …
[图书][B] Phoneme-based speech segmentation using hybrid soft computing framework
Speech is a naturally occuring nonstationary signal essential not only for personto-person
communication but has become an important aspect of Human Computer Interaction (HCI) …
communication but has become an important aspect of Human Computer Interaction (HCI) …
Closed-set text-independent speaker identification system using multiple ANN classifiers
This paper presents an Artificial Neural Network (ANN) based algorithm design to identify
speakers of specific dialect using features obtained from various speaker dependent …
speakers of specific dialect using features obtained from various speaker dependent …
Vowel phoneme segmentation for speaker identification using an ANN-based framework
Vowel phonemes are a part of any acoustic speech signal. Vowel sounds occur in speech
more frequently and with higher energy. Therefore, vowel phoneme can be used to extract …
more frequently and with higher energy. Therefore, vowel phoneme can be used to extract …
Nonlinear speech analysis and modeling for Malayalam vowel recognition
FK Mohamed, VL Lajish - Procedia Computer Science, 2016 - Elsevier
This paper presents a novel method for the recognition of Malayalam vowel phonemes
using nonlinear speech parameters such as maximal Lyapunov exponent and Phase Space …
using nonlinear speech parameters such as maximal Lyapunov exponent and Phase Space …
Speaker identification model for Assamese language using a neural framework
This paper presents a neural model of speaker identification using the vowel sound
segmented out from words spoken by a speaker. Vowel sounds occur in a speech more …
segmented out from words spoken by a speaker. Vowel sounds occur in a speech more …
Speaker identification using hybrid subspace, deep learning and machine learning classifiers
S Keser - Deep Learning and Machine Learning Classifiers, 2024 - papers.ssrn.com
Speaker identification is crucial in many application areas, such as automation, security, and
user experience. This study examines the use of traditional classification algorithms and …
user experience. This study examines the use of traditional classification algorithms and …
Speaker identification and Spoken word recognition in noisy background using artificial neural networks
S Shafee, B Anuradha - 2016 International Conference on …, 2016 - ieeexplore.ieee.org
Generally Speech Recognition Systems are specific to speech/spoken word recognition or
Speaker Identification/Verification. In this paper, An attempt has been made to find the better …
Speaker Identification/Verification. In this paper, An attempt has been made to find the better …