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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...
Autores principales: | Kąkol, Krzysztof, Korvel, Gražina, Tamulevičius, Gintautas, Kostek, Bożena |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
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 |
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