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Chundong Xu

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Proceedings Article | 28 July 2023 Paper

Compensation of Lombard effect in speech enhancement

Chundong Xu, Yi Yang

Proceedings Volume 12716, 1271616 (2023) https://doi.org/10.1117/12.2685521

KEYWORDS: Deep learning, Databases, Acoustics, Data processing, Rule based systems

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Influenced by Lombard effect, the synthetic noisy speech training data commonly used in speech enhancement algorithm based on deep learning is different from the pronunciation under actual noise, which leads to the limited application performance of the algorithm in the actual environment. This paper summarizes the data compensation strategy proposed by researchers for speech enhancement algorithm under Lombard effect. However, these compensation strategies mainly focus on the front-end data processing part of speech enhancement, which improves the complexity of speech enhancement system.

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