Phonemes: An Explanatory Study Applied to Identify a Speaker

Kinkiri, Saritha; Barakat, Basel; Keates, Simeon

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.

Citation

Kinkiri, S., Barakat, B., & Keates, S. (2020, July). Phonemes: An Explanatory Study Applied to Identify a Speaker. Presented at MIND: International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, Silchar, India

• Presentation Conference Type: Conference Paper (published)
• Conference Name: MIND: International Conference on Machine Learning, Image Processing, Network Security and Data Sciences
• Start Date: Jul 30, 2020
• End Date: Jul 31, 2020
• Online Publication Date: Jun 15, 2020
• Publication Date: 2020
• Deposit Date: Aug 12, 2020
• Publicly Available Date: Jun 16, 2021
• Publisher: Springer
• Pages: 58-68
• Series Title: Communications in Computer and Information Science
• Series Number: 1241
• Series ISSN: 1865-0929
• Book Title: Machine Learning, Image Processing, Network Security and Data Sciences
• ISBN: 9789811563171
• DOI: https://doi.org/10.1007/978-981-15-6318-8_6
• Keywords: Accent, Human speech, Phonemes and speaker identification
• Public URL: http://researchrepository.napier.ac.uk/Output/2676262