Detecting Lombard Speech Using Deep Learning Approach

Robust Lombard speech-in-noise detecting is challenging. This study proposes a strategy to detect Lombard speech using a machine learning approach for applications such as public address systems that work in near real time. The paper starts with the background concerning the Lombard effect. Then, as...

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Detalles Bibliográficos
Autores principales: Kąkol, Krzysztof, Korvel, Gražina, Tamulevičius, Gintautas, Kostek, Bożena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824848/
https://www.ncbi.nlm.nih.gov/pubmed/36616913
http://dx.doi.org/10.3390/s23010315

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824848/
https://www.ncbi.nlm.nih.gov/pubmed/36616913
http://dx.doi.org/10.3390/s23010315

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