Noise estimation based on optimal smoothing and minimum controlled through recursive averaging for speech enhancement

Noise estimation based on optimal smoothing and minimum controlled through recursive averaging for speech enhancement

One of the most significant challenges in the real time speech processing applications is the elimination of noise in the corrupted speech data. This noise can significantly impact the efficacy/performance of the applications of speech processing. However, developing a robust noise reduction algorit...

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Bibliographic Details
Main Authors: Raghudathesh G P, Chandrakala C B, Dinesh Rao B, Thimmaraja Yadava G
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Intelligent Systems with Applications
Subjects:
Speech enhancement
Optimal smoothing and minimum controlled (OSMC)
Recursive averaging
Perceptual evaluation of speech quality (PESQ)
Normalized covariance metric (NCM)
Automatic speech recognition (ASR)
Online Access:http://www.sciencedirect.com/science/article/pii/S2667305323001357

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