Results 41 to 50 of about 54,457 (305)

Spectral and temporal information and presentation mode effects on individual speaker identification and listening effort [PDF]

JASA Express Letters
Identifying speakers of interest in an auditory scene is a fundamental task that facilitates effective communication. Little is known about the specific contributions of spectral and temporal detail required for identifying a specific speaker of interest
Jenna L. Cramer, Ashley Reynard, Vanessa Torres, Jeremy J. Donai   +3 more
doaj   +1 more source

Speaker Identification using EEG

CoRR, 2020
In this paper we explore speaker identification using electroencephalography (EEG) signals. The performance of speaker identification systems degrades in presence of background noise, this paper demonstrates that EEG features can be used to enhance the performance of speaker identification systems operating in presence and absence of background noise ...
Gautam Krishna, Co Tran, Mason Carnahan, Ahmed H. Tewfik   +3 more
openaire   +2 more sources

Supporting Survivor‐Centered Care Through Digital Health Integration

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Survivors of childhood cancer face barriers to receiving guideline‐based, long‐term follow‐up care. Two digital tools, Passport for Care (PFC) and Cancer SurvivorLink (SurvivorLink), address complementary gaps by enabling tailored survivorship care plan (SCP) generation, updating, storage, and sharing.
Jordan G. Marchak, Rebecca Williamson‐Lewis, Michael O'Connor, Michael Palgon, Yu‐Ra Kim, Michael Schuckenbrock, Paula Edwards, Abraham Mendoza, Anthony Adams, Brian Arriaga‐Solis, Justin Parker, Harry Tinoco‐Giraldo, Jason King, C. Michael Fordis, Karen E. Effinger, Maria Monica Gramatges   +15 more
wiley   +1 more source

Deep CNNs With Self-Attention for Speaker Identification

IEEE Access, 2019
Most current works on speaker identification are based on i-vector methods; however, there is a marked shift from the traditional i-vector to deep learning methods, especially in the form of convolutional neural networks (CNNs).
Nguyen Nang An, Nguyen Quang Thanh, Yanbing Liu   +2 more
doaj   +1 more source

Mel Frequency Cepstral Coefficients (MFCC) Method and Multiple Adaline Neural Network Model for Speaker Identification

JOIV: International Journal on Informatics Visualization, 2023
Speech recognition technology makes human contact with the computer more accessible. There are two phases in the speaker recognition process: capturing or extracting voice features and identifying the speaker's voice pattern based on the voice ...
Sudi Mariyanto Al Sasongko, Shofian Tsaury, Suthami Ariessaputra, Syafaruddin Ch   +3 more
doaj   +1 more source

Therapeutic Apheresis in Nigeria: A Multi‐Center Summary of Abstracts From the Inaugural Nigerian Society for Apheresis Scientific Meeting

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Therapeutic apheresis (TA) is an established treatment modality for hematologic, neurologic, and immunologic disorders, yet access remains severely limited in sub‐Saharan Africa. Donor apheresis, including platelet apheresis collection from healthy donors, represents an important complementary modality supporting blood product ...
Nosa Bazuaye, Chimezie Okwuonu, Evelyn Idam, Folasade Adelekan‐Popoola, Shakirat Gold‐Olufadi, Olufunto Olufela Kalejaiye, Abdullateef Ogala, Zinnah Aloziem, Blossom Amamchukwu, Patience Elimia, Mkpoikanabasi Obot‐Obot, Henry Mbakwe, Praises Maduagwuna, Olatunji Akinrodoye, Chiamaka Anyanwu, Benjamin Anyanwu, Adedamola Akinsiku, Oluwatoyin A. Akinsiku, Muzamil O. Hassan, Fatiu A. Arogundade, Olalekan E. Ojo, Homayemem Weli, Jesupelumi Adenihun, Aderemi Adelaja, Ebun Bamgboye, Olalekan Olatise, Ade E. Faponle, Ayoola Odeyemi, Michael Muoka, Stephen Asaolu, Qudrat Busari, Blessing Dawudu, Michael Naiyeju, Rasheed A. Balogun   +33 more
wiley   +1 more source

New consonantal acoustic parameters for forensic speaker comparison [PDF]

, 2012
This thesis examines acoustic parameters of five consonants /m, n, ŋ, l, s/ in two dialects of British English: Standard Southern British English and Leeds English.
Kavanagh, Colleen
core  

SPEAKER IDENTIFICATION SYSTEM USING AUDIO SIGNAL AND DEEP LEARNING METHOD [PDF]

Proceedings on Engineering Sciences
Automatic Speaker Identification (ASI) does not result in high accuracy, so it is essential to develop a highly accurate Speaker Identification (SI) system. Artificial Intelligence has shown remarkable improvement in the development of such systems using
Neelam Nehra , Pardeep Sangwan , Neelu Trivedi   +2 more
doaj   +1 more source

Emotion-Aware Speaker Identification With Transfer Learning

IEEE Access, 2023
Speech is a natural communication method used by humans. Speaker identification (SI) technology based on human speech has been used as an entry point for many human–computer-interaction applications.
Kyoungju Noh, Hyuntae Jeong
doaj   +1 more source

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

FEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source