Gajjar, Henil and Selarka, Trushti and Lakdawala, Absar M. and Shah, Dhaval B. and Kapil, P. N. (2023) A Comparative Analysis of Various Deep-Learning Models for Noise Suppression. EAI Endorsed Transactions on Internet of Things.
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Abstract
Excessive noise in speech communication systems is a major issue affecting various fields, including teleconferencing and hearing aid systems. To tackle this issue, various deep-learning models have been proposed, with autoencoder-based models showing remarkable results. In this paper, we present a
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 18:13 |
| Last Modified: | 16 Apr 2026 22:12 |
| URI: | http://eprints.eai.eu/id/eprint/51670 |
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