High-level CNN and machine learning methods for speaker recognition
G Costantini, V Cesarini, E Brenna - Sensors, 2023 - mdpi.com
Speaker Recognition (SR) is a common task in AI-based sound analysis, involving
structurally different methodologies such as Deep Learning or “traditional” Machine …
structurally different methodologies such as Deep Learning or “traditional” Machine …
Multitaper MFCC and normalized multitaper phase-based features for speaker verification
A Mansouri, E Castillo-Guerra - SN Applied Sciences, 2019 - Springer
One trend of current research activity in speaker verification systems focuses on features that
capture complementary information to the Mel-frequency cepstral coefficients (MFCCs). In …
capture complementary information to the Mel-frequency cepstral coefficients (MFCCs). In …
Speaker verification with optimized feature subset using MOBA
PVB Reddy, SP Nandyala… - 2016 IEEE Distributed …, 2016 - ieeexplore.ieee.org
In speech processing for speaker verification, feature subset selection is one of the key
components. Feature Subset Selection (FS) also played a vital role in the fields like pattern …
components. Feature Subset Selection (FS) also played a vital role in the fields like pattern …
Sistema de identificación de locutor texto dependiente en Raspberry PI 3 B con aplicación en control de acceso.
RA Blanco Ortiz, NJ Garzón Gamez - repository.udistrital.edu.co
In this project, a recognition system of dependent text speaker using cepstral coefficients of
the voice is developed using a Raspberry Pi 3 B with a USB audio card and a microphone …
the voice is developed using a Raspberry Pi 3 B with a USB audio card and a microphone …