Results 31 to 40 of about 54,457 (305)

Improving Speaker Identification Performance Under the Shouted Talking Condition Using the Second-Order Hidden Markov Models

open access: yesEURASIP Journal on Advances in Signal Processing, 2005
Speaker identification systems perform well under the neutral talking condition; however, they suffer sharp degradation under the shouted talking condition.
Shahin Ismail
doaj   +1 more source

The separability analysis of pitch parameters in speaker recognition

open access: yesMATEC Web of Conferences, 2016
Aseparability research of prosodic parameters in speaker recognition is studied.The space distribution of the prosodic parameters is drawn using the mean and variance of the speaker pitch parameters,through which the separability of the speaker is ...
He Rong Rong, Tian Lan, Ma Fa Jiang
doaj   +1 more source

A Novel RBFNN-CNN Model for Speaker Identification in Stressful Talking Environments

open access: yesApplied Sciences, 2022
Speaker identification systems perform almost ideally in neutral talking environments. However, these systems perform poorly in stressful talking environments.
Ali Bou Nassif   +6 more
doaj   +1 more source

Open-set Speaker Identification [PDF]

open access: yes, 2018
This study is motivated by the growing need for effective extraction of intelligence and evidence from audio recordings in the fight against crime, a need made ever more apparent with the recent expansion of criminal and terrorist organisations. The main
Karadaghi, Rawande
core   +1 more source

Pitch Correlogram Clustering for Fast Speaker Identification

open access: yesEURASIP Journal on Advances in Signal Processing, 2004
Gaussian mixture models (GMMs) are commonly used in text-independent speaker identification systems. However, for large speaker databases, their high computational run-time limits their use in online or real-time speaker identification situations.
Nitin Jhanwar, Ajay K. Raina
doaj   +1 more source

Hospitalization Through Families’ Eyes: Comparing Inpatient Care Quality for Children With Sickle Cell Disease and Cystic Fibrosis in Canada

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Sickle cell disease (SCD) is a chronic, inherited hemoglobinopathy that requires frequent hospitalization for disease‐related complications. Canadian data on inpatient care is limited. This study compared caregiver‐reported hospital experiences of children with SCD to those with cystic fibrosis (CF), a chronic, autosomal recessive ...
Hailey M. Zwicker   +11 more
wiley   +1 more source

Global Trends in Speaker Identification Under Voice Disguise: A 25-Year Review

open access: yesSakarya University Journal of Computer and Information Sciences
Voice disguise is the technique by which a speaker deliberately changes their voice to conceal their identity. This poses a major challenge in the field of speaker identification.
Mahesh K. Singh   +2 more
doaj   +1 more source

Heterogeneity in the Global Practice of Central Nervous System Staging in Pediatric Acute Lymphoblastic Leukemia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) involvement in childhood acute lymphoblastic leukemia (ALL) is assessed by cell counting and cytomorphology from cerebrospinal fluid (CSF) and is used for treatment stratification worldwide. The ratio of “CNS2” patients in clinical trials ranges from 3% to 40%, with unclear prognostic significance ...
Laura Almási   +14 more
wiley   +1 more source

Sum-product networks for robust automatic speaker identification

open access: yes, 2020
We introduce sum-product networks (SPNs) for robust speech processing through a simple robust automatic speaker identification (ASI) task.* SPNs are deep probabilistic graphical models capable of answering multiple probabilistic queries.
Paliwal, KK, Nicolson, A
core   +1 more source

Blind speaker identification for audio forensic purposes [PDF]

open access: yes, 2017
This paper presents a blind method for speaker identification for audio forensics purposes. It is based on a decision system with fuzzy rules and works with the correlation between the cochleagrams of the audio proof and of the audios of the suspects ...
Dora Maria Ballesteros-Larrota   +8 more
core   +1 more source

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