A Proposed Speaker Recognition Method Based on Long-Term Voice Features and Fuzzy Logic

Authors

• Iman H. Hadi, GSCOM, Baghdad, Iraq. iman.h.1439@gmail.com.
• Alia K. Abdul-Hassan, Computer Sciences Department, University of Technology, Baghdad, Iraq. 110018@uotechnology.edu.iq.

Keywords

Speaker identity, voice, frequency features, Fuzzy Vector

Document Type

Research Paper

Abstract

Speaker recognition depends on specific predefined steps. The most important steps are feature extraction and features matching. In addition, the category of the speaker voice features has an impact on the recognition process. The proposed speaker recognition makes use of biometric (voice) attributes to recognize the identity of the speaker. The long-term features were used such that maximum frequency, pitch and zero crossing rate (ZCR). In features matching step, the fuzzy inner product was used between feature vectors to compute the matching value between a claimed speaker voice utterance and test voice utterances. The experiments implemented using (ELSDSR) data set. These experiments showed that the recognition accuracy is 100% when using text dependent speaker recognition.

Recommended Citation

H. Hadi, Iman and K. Abdul-Hassan, Alia () "A Proposed Speaker Recognition Method Based on Long-Term Voice Features and Fuzzy Logic," Engineering and Technology Journal: Vol. 39: Iss. 1, Article 16.
DOI: https://doi.org/10.30684/etj.v39i1B.343

DOI

10.30684/etj.v39i1B.343

First Page

1

Last Page

10