Assessing the effectiveness of transfer learning strategies in BLSTM networks for speech denoising

Denoising speech signals represent a challenging task due to the increasing number of applications and technologies currently implemented in communication and portable devices. In those applications, challenging environmental conditions such as background noise, reverberation, and other sound artif...

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Bibliographic Details
Main Authors: Marvin Coto-Jiménez, Astryd González-Salazar, Michelle Gutiérrez-Muñoz
Format: Article
Language:English
Published: Instituto Tecnológico de Costa Rica 2022-11-01
Series:Tecnología en Marcha
Subjects:
Online Access:https://172.20.14.50/index.php/tec_marcha/article/view/6448
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