We have proposed a generalized maximum a posteriori spectral amplitude (GMAPA) algorithm in designing a gain function for speech enhancement.
Abstract: This paper proposes a generalized maximum a posteriori spectral amplitude (GMAPA) algorithm to spectral restoration for speech enhancement.
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The experimental results obtained from objective tests indicate that GMAPA is promising compared to several well-known algorithms at both high and low SNRs. The ...
Oct 9, 2015 · The proposed GMAPA algorithm dynamically specifies the weight of prior density of speech spectra according to the SNR of the testing speech ...
This paper proposes a generalized maximum a posteriori spectral amplitude (GMAPA) algorithm to spectral restoration for speech enhancement.
A maximum speech intelligibility (MSI) post-filter that aims to enhance the intelligibility of processed speech signals and is designed to specify a weight ...
Spectral restoration methods for speech enhancement aim to remove noise components in noisy speech signals by using a gain function in the spectral domain.
Generalized maximum a posteriori spectral amplitude estimation for speech enhancement. Published in. Speech Communication, February 2016. DOI, 10.1016/j.specom ...
Title: Generalized Maximum a Posteriori Spectral Amplitude Estimation for Speech Enhancement. Authors: Y. Tsao · Y.-H. Lai. Relation: SPEECH COMMUNICATION.
We present a brief overview of the speech enhancement problem for wide-band noise sources that are not correlated with the speech signal. Our main focus is on ...