Impact and High-Pitch Noise Suppression Based on Spectral Entropy

Kawamura, Arata; Hayasaka, Noboru; Sasaoka, Naoto

doi:10.1587/transfun.e99.a.777

Cited by 2 publications

(1 citation statement)

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“…Unfortunately, the ringing sound interrupts speech conversation than an initial peak sound because the ringing sound keeps for a long time. Therefore, the speech enhancement methods based on a zero-phase signal have been proposed to reduce not only an initial peak sound not also a ringing sound in [4], [5]. However, these methods reduce high pitch ringing sound only and degrade the quality of enhanced speech due to using a zero-phase signal.…”

Section: Introductionmentioning

confidence: 99%

4th Order Moment-Based Linear Prediction for Estimating Ringing Sound of Impulsive Noise in Speech Enhancement

Sasaoka

Akamatsu

Kawamura

et al. 2020

IEICE Trans. Fundamentals

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Speech enhancement has been proposed to reduce the impulsive noise whose frequency characteristic is wideband. On the other hand, it is challenging to reduce the ringing sound, which is narrowband in impulsive noise. Therefore, we propose the modeling of the ringing sound and its estimation by a linear predictor (LP). However, it is difficult to estimate the ringing sound only in noisy speech due to the auto-correlation property of speech. The proposed system adopts the 4th order momentbased adaptive algorithm by noticing the difference between the 4th order statistics of speech and impulsive noise. The brief analysis and simulation results show that the proposed system has the potential to reduce ringing sound while keeping the quality of enhanced speech.

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Section: Introductionmentioning

confidence: 99%