Study of MFCC and IHC feature extraction methods with probabilistic acoustic models for speaker biometric applications
A Sithara, A Thomas, D Mathew - Procedia computer science, 2018 - Elsevier
Voice is an important human trait in natural human-to-human interaction/communication for
identifying a person. So voice can be regarded as a biometric measure for recognizing or …
identifying a person. So voice can be regarded as a biometric measure for recognizing or …
Performance Comparison of Phoneme Modeling using MFCC and IHCC Features with various Optimization Algorithms for Neural Network Architectures
B Rozario, A Thomas, D Mathew - 2019 9th International …, 2019 - ieeexplore.ieee.org
Human speech signal is rich with information such as the identity of the speaker, the spoken
message, emotional and physical state of the speaker, the spoken language, gender, age …
message, emotional and physical state of the speaker, the spoken language, gender, age …
[PDF][PDF] Cochlear implant electrode stimulation strategy based on a human auditory model
E für Cochleaimplantate, DIT Harczos - db-thueringen.de
Modern cochlear implants (CIs) combined with professional rehabilitation have enabled
several hundreds of thousands of hearing-impaired individuals to re-enter the world of …
several hundreds of thousands of hearing-impaired individuals to re-enter the world of …
Bio-inspired system in automatic speaker recognition
L Rosique–López, V Garcerán–Hernández - … Work-Conference on the …, 2011 - Springer
Automatic speaker recognition determines whether a person is who he/she claims to be
without the intervention of another human being, from their voiceprint. In recent years …
without the intervention of another human being, from their voiceprint. In recent years …