Real Time Recognition Of Speakers From Internet Audio Stream
In this paper we present an automatic speaker recognition technique with the use of the Internet radio lossy (encoded) speech signal streams. We show an influence of the audio encoder (e.g., bitrate) on the speaker model quality.
Weychan Radoslaw +3 more
doaj +1 more source
Multiple Sclerosis Relapse Activity After Ozanimod Discontinuation in DAYBREAK Trial Participants
Multiple Sclerosis Relapse Activity After Ozanimod Discontinuation in DAYBREAK Trial Participants. ABSTRACT Objective Return of disease activity is expected when patients discontinue disease‐modifying therapy (DMT) for multiple sclerosis (MS). Some MS DMTs are associated with higher‐than‐expected disease activity (rebound) after discontinuation.
Ralf Gold +12 more
wiley +1 more source
Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi +8 more
wiley +1 more source
The fundamental of feature extraction in speaker recognition : a review [PDF]
The heart of speaker recognition system is feature extraction. Since this phase is the first component in the speaker recognition chain, the quality of this stage will strongly affect the quality of other components (speaker modeling and pattern matching)
Ninggal, Izuan Hafez, Ahmad, Abdul Manan
core
Quantile Acoustic Vectors vs. MFCC Applied to Speaker Verification
In this paper we describe speaker and command recognition related experiments, through quantile vectors and Gaussian Mixture Modelling (GMM). Over the past several years GMM and MFCC have become two of the dominant approaches for modelling speaker and ...
Mayorga-Ortiz Pedro +4 more
doaj +1 more source
Genetic Algorithm for Combined Speaker and Speech Recognition using Deep Neural Networks
Huge growth is observed in the speech and speaker recognition field due to many artificial intelligence algorithms being applied. Speech is used to convey messages via the language being spoken, emotions, gender and speaker identity.
Gurpreet Kaur +2 more
doaj +1 more source
Advancing Age Modulates Associations Between Cognitive Impairment and Brain Volumes in Early MS
ABSTRACT Introduction Cognitive impairment is common in multiple sclerosis (MS), but manifestations following the first demyelinating event are relatively unexplored. We investigated cross‐sectional associations between magnetic resonance imaging (MRI)–derived brain volumes and the presence of cognitive impairment outcomes five years after the first ...
Piriyankan Ananthavarathan +14 more
wiley +1 more source
A Multiscale Chaotic Feature Extraction Method for Speaker Recognition
In speaker recognition systems, feature extraction is a challenging task under environment noise conditions. To improve the robustness of the feature, we proposed a multiscale chaotic feature for speaker recognition.
Jiang Lin +5 more
doaj +1 more source
Retracted: Development of High Accuracy Classifier for the Speaker Recognition System. [PDF]
And Biomechanics AB.
europepmc +1 more source

