Name: Reliable Speaker Recognition Systems de Sushama Wagh Nilashree Madakath(Ks Omniscriptum Publishing) (en Inglés)
SKU: 63814001
Price: 1703.21 MXN
Availability: InStock
Author: Madakath Nilashree,Wagh Sushama
ISBN: 9783639718621

portada Reliable Speaker Recognition Systems de Sushama Wagh Nilashree Madakath(Ks Omniscriptum Publishing) (en Inglés)

Reliable Speaker Recognition Systems de Sushama Wagh Nilashree Madakath(Ks Omniscriptum Publishing) (en Inglés)

Formato

Libro Físico

Editorial

Ks Omniscriptum Publishing

Autor

Madakath Nilashree,Wagh Sushama

Idioma

Inglés

Encuadernación

Tapa Blanda

ISBN13

9783639718621

Reliable Speaker Recognition Systems de Sushama Wagh Nilashree Madakath(Ks Omniscriptum Publishing) (en Inglés)

Madakath Nilashree,Wagh Sushama (Autor) · Ks Omniscriptum Publishing · Tapa Blanda

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Reseña del libro "Reliable Speaker Recognition Systems de Sushama Wagh Nilashree Madakath(Ks Omniscriptum Publishing) (en Inglés)"

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.