This paper proposes Discrete Cosine Transform (DCT) based speech enhancement algorithms. These algorithms utilize minimum mean square error (MMSE) estimator of clean short-time spectral amplitude, which respectively uses Gaussian, Laplace and Gamma probability density functions (PDF) as speech priors.
A clean speech is first divided into frames with 50% overlapping, and the transform is performed. The transformed coefficients are then sorted according to ...
Real-Time Speech Enhancement by Adaptive Spectral Subtraction Method · A novel de-noising method based on discrete cosine transform and its application in the ...
Abstract. Denoising of speech signals using a sliding discrete cosine transforms (DCT) is proposed. A minimum mean-square error (MMSE) estimator in the domain ...
Abstract: This paper introduces an improved Discrete Cosine Transform (DCT) based speech enhancement method using the Teager energy operator (TEO).
Oct 17, 2019 · In this paper, we propose using the Discrete Cosine Transform (DCT) to reconstruct a valid short-time spectrum. Under the U-net structure ...
Noisy speech enhancement using discrete cosine transform · Contents. Speech Communication. Volume 24, Issue 3 · PREVIOUS ARTICLE. Multi-pulse LPC modeling of ...
Abstract: We propose an approach based on the warped discrete cosine transform (WDCT) to enhance degraded speech under background noise environments.
Abstract. Denoising of speech signals using a sliding discrete cosine transforms (DCT) is proposed. A minimum mean-square error (MMSE).
People also ask
What is a discrete cosine transform in speech processing?
What is the purpose of discrete cosine transform?
What is the difference between DCT and DFT?
What is discrete cosine transform in face recognition?
Abstract—In this paper, a warped discrete cosine transform. (WDCT)-based approach to enhance the degraded speech under background noise environments is ...