Niwatkar, Arundhati and Kanse, Yuvraj and Kushwaha, Ajay Kumar (2024) Exploring the Impact of Mismatch Conditions, Noisy Backgrounds, and Speaker Health on Convolutional Autoencoder-Based Speaker Recognition System with Limited Dataset. EAI Endorsed Transactions on Scalable Information Systems.
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Abstract
This paper presents a novel approach to enhance the success rate and accuracy of speaker recognition and identification systems. The methodology involves employing data augmentation techniques to enrich a small dataset with audio recordings from five speakers, covering both male and female voices. P
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 18:30 |
| Last Modified: | 10 Apr 2026 23:03 |
| URI: | http://eprints.eai.eu/id/eprint/52755 |
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