Detecting Lombard Speech Using Deep Learning Approach

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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Bibliographic Details
Main Authors: Krzysztof Kąkol, Gražina Korvel, Gintautas Tamulevičius, Bożena Kostek
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
Lombard speech
2D feature representations
threshold-based averaging strategy
speech recognition
machine learning
Online Access:https://www.mdpi.com/1424-8220/23/1/315

Internet

https://www.mdpi.com/1424-8220/23/1/315

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