Results 41 to 50 of about 48,637 (264)
Emotion-Aware Speaker Identification With Transfer Learning
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
ABSTRACT Background Pediatric bone sarcoma patients and survivors may experience psychosocial challenges related to childhood cancer after their intensive, body‐altering treatment. This cross‐sectional study aimed to evaluate generic and survivor‐specific psychosocial outcomes in a national cohort of pediatric bone sarcoma patients and survivors, and ...
Hinke van der Hoek +14 more
wiley +1 more source
Speaker Identification Based on Temporal Parameters in Colloquial Arabic [PDF]
The subject of this study is to identify unknown speakers particularly from their speaking tempo represented in SpeechRate SR and Articulation Rate AR as temporal parameters.
Eman Yousri, Mervat Fashal
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Zero-Shot Unseen Speaker Anonymization via Voice Conversion
Speech-based interfaces provide convenient methods for controlling various smart devices. For these interfaces to work reliably, considerable speech data with various noise and speaker characteristics must be collected to train the associated speech ...
Hyung-Pil Chang +3 more
doaj +1 more source
ABSTRACT Background Adolescents with haematological malignancies face significant emotional and relational challenges, often accompanied by difficulties in communicating their needs within the healthcare context. To address these issues, a narrative‐based psycho‐educational intervention based on the creation and prescription of Ironic Medications was ...
Marta Stoppa +7 more
wiley +1 more source
ABSTRACT Background Platinum‐based chemotherapy is known to cause severe and debilitating hearing loss, but unlike cisplatin, the true incidence of carboplatin‐induced hearing loss remains unclear. We evaluated functional hearing outcomes in children receiving carboplatin to determine the incidence and severity of ototoxicity. Procedure We identified a
Aniket Chawla +6 more
wiley +1 more source
This paper reports an approach that depends on Continuous Hidden Markov Models (CHMMs) to identify Arabic speakers automatically from their voices. The Mel-Frequency Cepstral Coefficients (MFCCs) were selected to describe the speech signal.
Hesham Tolba
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ABSTRACT Background Medication nonadherence during the first 100 days after pediatric hematopoietic stem cell transplantation (HSCT) and during oncology treatment increases risk for complications. BMT4me is a caregiver‐facing mobile health (mHealth) application providing medication reminders, symptom tracking, and note‐taking features to support ...
Micah A. Skeens +4 more
wiley +1 more source
Laplacian Operator as Speaker Identification Parameter
New speaker identification test’s feature, extracted from the differentiated form of the wave file, is presented. Differentiation operation is performed by an operator similar to the Laplacian operator.
S. K. Jamil
doaj
Objective The present study intended to compare the accuracy of speaker identification using aural perception and semiautomatic method (Mel –Frequency Cepstral Coefficient; MFCC), when the speech is in disguise condition by using the handkerchief during ...
J. Praveena, Y. Krishna
doaj +1 more source

