A WAVELET-BASED SPEAKER VERIFICATION ALGORITHM

Author(s)

Lacerda, Michel Alves ^[1] ; Guido, Rodrigo Capobianco ^[1] ; de Souza, Leonardo Mendes ^[1] ; Franchi Zulato, Paulo Ricardo ^[1] ; Ribeiro, Jussara ^[1] ; Chen, Shi-Huang ^[2]

Affiliation

^[1] Univ Sao Paulo, Inst Phys Sao Carlos, Dept Phys & Informat, SpeechLab FFI IFSC USP, BR-13566590 Sao Carlos, SP - Brazil

^[2] Shu Te Univ, Dept Comp Sci & Informat Engn, Yanchao 82445, Kaohsiung Cty - Taiwan

• Document type: Journal article
• Source: INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING; v. 8, n. 6, p. 905-912, NOV 2010.
• Web of Science Citations: 1

Abstract

This paper presents a study on wavelets and their characteristics for the specific purpose of serving as a feature extraction tool for speaker verification (SV), considering a Radial Basis Function (RBF) classifier, which is a particular type of Artificial Neural Network (ANN). Examining characteristics such as support-size, frequency and phase responses, amongst others, we show how Discrete Wavelet Transforms (DWTs), particularly the ones which derive from Finite Impulse Response (FIR) filters, can be used to extract important features from a speech signal which are useful for SV. Lastly, an SV algorithm based on the concepts presented is described. (AU)

• FAPESP's process: 05/00015-1 - SpeechAuth: development of a biometric authentication and comand interpretation system based on speech processing
• Grantee: Rodrigo Capobianco Guido
• Support Opportunities: Research Grants - Young Investigators Grants