Enhancing Biometric Speaker Recognition Through MFCC Feature Extraction and Polar Codes for Remote Application

While extensive research has been conducted in the field of biometrics, particularly in face and fingerprint recognition, remote speaker recognition has yet to gain global acceptance due to challenges related to accuracy and data integrity. Previous studies in speaker recognition have explored techn...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE access 2023, Vol.11, p.133921-133930
Hauptverfasser:	Wankhede, Nilashree, Wagh, Sushama
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Artificial neural networks Authentication Biometric Biometric recognition systems Biometrics Bit error rate Channel noise Codes Data integrity Decoding Error correction Feature extraction Fingerprint recognition Fingerprint verification Integrity Mel frequency cepstral coefficient polar codes recognition rate Speaker recognition Speech recognition System effectiveness
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!