Robustness of LSTM neural networks for the enhancement of spectral parameters in noisy speech signals
Guardado en:
作者: | |
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格式: | comunicación de congreso |
Fecha de Publicación: | 2019 |
實物特徵: | Part of the Lecture Notes in Computer Science book series (LNCS, volume 11289). |
País: | Kérwá |
機構: | Universidad de Costa Rica |
Repositorio: | Kérwá |
語言: | Inglés |
OAI Identifier: | oai:kerwa.ucr.ac.cr:10669/86282 |
在線閱讀: | https://link.springer.com/chapter/10.1007/978-3-030-04497-8_19 https://hdl.handle.net/10669/86282 |
Access Level: | acceso abierto |
Palabra clave: | Deep learning Long short-term memory (LSTM) Mel-Frequency Cepstrum Coefficients (MFCC) NEURAL NETWORKS Speech enhancement |