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

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Abstract

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.

Item Type: Book Section
Subjects: Computing
Engineering
Divisions: Faculty of Technology > School of Computer Science
Depositing User: Basel Barakat
Date Deposited: 25 Nov 2021 14:35
Last Modified: 25 Nov 2021 14:35
URI: http://sure.sunderland.ac.uk/id/eprint/14170
ORCID for Basel Barakat: ORCID iD orcid.org/0000-0001-9126-7613

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