9783639718621 - Reliable Speaker Recognition Systems: A comparative accuracy analysis with LDPC and Polar codes di Madakath, Nilashree; Wagh, Sushama (10 risultati)

Condizione: New. In.

Condizione: New.

Taschenbuch. Condizione: Neu. Reliable Speaker Recognition Systems | A comparative accuracy analysis with LDPC and Polar codes | Nilashree Madakath (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2025 | Scholars' Press | EAN 9783639718621 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 140 pp. Englisch.

Condizione: New. Print on Demand.

Condizione: New. PRINT ON DEMAND.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In recent years, while speaker recognition holds considerable promise, its widespread adoption has been hindered by suboptimal performance marked by its low accuracy and reliability issues. However, addressing these challenges is essential to fully exploit the capabilities of voice biometric recognition with surveys indicating preference for voice biometrics. In situations where remote speaker biometric authentication is employed, maintaining the integrity of extracted cepstral feature vectors becomes paramount in presence of channel noise. To enhance the accuracy of speaker recognition in remote applications, a novel approach is proposed where Low-Density Parity-Check (LDPC) codes and Polar codes are used for both storage and transmission of extracted Mel-frequency cepstral coefficients (MFCC) derived from voice samples. Four proposed and implemented methods are described which result in the lower bit error rates over noisy channels as well as high accuracy rate for remote speaker recognition system. This book concludes with the suggestive use of LDPC and Polar coding as an integral part of remote speaker recognition as a part of multimodal biometric authentication system.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 140 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In recent years, while speaker recognition holds considerable promise, its widespread adoption has been hindered by suboptimal performance marked by its low accuracy and reliability issues. However, addressing these challenges is essential to fully exploit the capabilities of voice biometric recognition with surveys indicating preference for voice biometrics. In situations where remote speaker biometric authentication is employed, maintaining the integrity of extracted cepstral feature vectors becomes paramount in presence of channel noise. To enhance the accuracy of speaker recognition in remote applications, a novel approach is proposed where Low-Density Parity-Check (LDPC) codes and Polar codes are used for both storage and transmission of extracted Mel-frequency cepstral coefficients (MFCC) derived from voice samples. Four proposed and implemented methods are described which result in the lower bit error rates over noisy channels as well as high accuracy rate for remote speaker recognition system. This book concludes with the suggestive use of LDPC and Polar coding as an integral part of remote speaker recognition as a part of multimodal biometric authentication system.