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Two-Step Joint Optimization with Auxiliary Loss Function for Noise-Robust Speech Recognition

In this paper, a new two-step joint optimization approach based on the asynchronous subregion optimization method is proposed for training a pipeline model composed of two different models. The first-step processing of the proposed joint optimization approach trains the front-end model only, and the...

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Detalles Bibliográficos
Autores principales: Lee, Geon Woo, Kim, Hong Kook
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9324918/
https://www.ncbi.nlm.nih.gov/pubmed/35891070
http://dx.doi.org/10.3390/s22145381