Speaker identification under noisy conditions using hybrid convolutional neural network and gated recurrent unit
Wondimu Lambamo Anito,
Ramasamy Srinivasagan,
Worku Jifara
et al.
Abstract:<p><span>Speaker identification is biometrics that classifies or identifies a person from other speakers based on speech characteristics. Recently, deep learning models outperformed conventional machine learning models in speaker identification. Spectrograms of the speech have been used as input in deep learning-based speaker identification using clean speech. However, the performance of speaker identification systems gets degraded under noisy conditions. Cochleograms have shown better results than… Show more
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