This paper presents robust speech enhancement using noise estimation based on smoothing of spectral noise floor (SNF) for nonstationary noise environments.
This paper presents robust speech enhancement using noise estimation based on smoothing of spectral noise floor (SNF) for nonstationary noise environments.
To distinguish speech from other audio signals (noise) we use a noise reduction method based on smoothing of the spectral noise floor (SNF) [9] . The noise ...
Speech Enhancement is the process of improving the quality of a speech signal by reducing noise and enhancing clarity, often achieved through techniques ...
In this chapter, we focus on the statistical methods that constitute a speech spectral enhancement system and describe some of their fundamental components.
In this paper, we propose an algorithm to reduce the background noise in the degraded speech data under highly non-stationary conditions.
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Mar 18, 2022 · The SS algorithm involves, the approximation of enhanced speech signal spectrum computed by subtracting the approximation of noise spectrum from ...
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This paper presents a new approximate Bayesian estimator for enhancing a noisy speech signal. The speech model is assumed to be a Gaussian mixture model (GMM) ...
We show that cepstral smoothing can effectively prevent spectral peaks of short duration that may be perceived as musical noise. At the same time cepstral ...
The noise is estimated and updated by adaptively smoothing the noisy signal power in each band. The smoothing parameter is controlled by a-posteriori signal-to- ...