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arXiv · 2205.14649

Speaker Identification using Speech Recognition

Syeda Rabia Arshad·Syed Mujtaba Haider·Abdul Basit Mughal
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Abstract

The audio data is increasing day by day throughout the globe with the increase of telephonic conversations, video conferences and voice messages. This research provides a mechanism for identifying a speaker in an audio file, based on the human voice biometric features like pitch, amplitude, frequency etc. We proposed an unsupervised learning model where the model can learn speech representation with limited dataset. Librispeech dataset was used in this research and we were able to achieve word error rate of 1.8.

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BibTeXRIS

Syeda Rabia Arshad, Syed Mujtaba Haider, Abdul Basit Mughal. 2022-05-29. Speaker Identification using Speech Recognition. https://arxiv.org/abs/2205.14649

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