Voice-Based Speaker Identification and Verification

View Sample PDF

Author(s): Keshav Sinha (Birla Institute of Technology, India), Rasha Subhi Hameed (College of Education for Pure Sciences, Diyala University, Iraq), Partha Paul (Sarala Birla University, India)and Karan Pratap Singh (Sarala Birla University, India)
Copyright: 2021
Pages: 29
Source title: Handbook of Research on Knowledge and Organization Systems in Library and Information Science
Source Author(s)/Editor(s): Barbara Jane Holland (Brooklyn Public Library, USA (retired) & Independent Researcher, USA)
DOI: 10.4018/978-1-7998-7258-0.ch016

Keywords: Information Resources Management / Information Science Reference / Library & Information Science / Library Information Systems

Purchase

View Voice-Based Speaker Identification and Verification on the publisher's website for pricing and purchasing information.

Abstract

In recent years, the advancement in voice-based authentication leads in the field of numerous forensic voice authentication technology. For verification, the speech reference model is collected from various open-source clusters. In this chapter, the primary focus is on automatic speech recognition (ASR) technique which stores and retrieves the data and processes them in a scalable manner. There are the various conventional techniques for speech recognition such as BWT, SVD, and MFCC, but for automatic speech recognition, the efficiency of these conventional recognition techniques degrade. So, to overcome this problem, the authors propose a speech recognition system using E-SVD, D3-MFCC, and dynamic time wrapping (DTW). The speech signal captures its important qualities while discarding the unimportant and distracting features using D3-MFCC.

The IRMA Community

Research IRM

Voice-Based Speaker Identification and Verification

Purchase

Abstract

Related Content

IRMA Sponsors