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Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

Phonemes: An Explanatory Study Applied to Identify a Speaker

Kinkiri, Saritha, Barakat, Basel and Keates, Simeon (2020) Phonemes: An Explanatory Study Applied to Identify a Speaker. In: Machine Learning, Image Processing, Network Security and Data Sciences. Springer, pp. 58-68. ISBN 9789811563171

Item Type: Book Section


Speaker Identification (SI) is a process of identifying a speaker automatically via a machine using the speaker’s voice. In SI, one speaker’s voice is compared with n- number of speakers’ templates within the reference database to find the best match among the potential speakers. Speakers are capable of changing their voice, though, such as their accent, which makes is more challenging to identify who is talking. In this paper, we extracted phonemes from a speaker’s voice recording and investigated the associated frequencies and amplitudes to be assist in identifying the person who is speaking. This paper demonstrates the importance of phonemes in both speech and voice recognition systems. The results demonstrate that we can use phonemes to help the machine identify a particular speaker, however, phonemes get better accuracy in speech recognition than speaker identification.

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Depositing User: Basel Barakat


Item ID: 14170
Identification Number:
ISSN: 1865-0929
ISBN: 9789811563171
Official URL:

Users with ORCIDS

ORCID for Basel Barakat: ORCID iD

Catalogue record

Date Deposited: 25 Nov 2021 14:35
Last Modified: 25 Jan 2022 08:49


Author: Basel Barakat ORCID iD
Author: Saritha Kinkiri
Author: Simeon Keates

University Divisions

Faculty of Technology > School of Computer Science



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