Abstract:
In this paper, we proposed speech enhancement method using principal component analysis (PCA) for noisy signal. This algorithm is based on the PCA which is subspace appro...Show MoreMetadata
Abstract:
In this paper, we proposed speech enhancement method using principal component analysis (PCA) for noisy signal. This algorithm is based on the PCA which is subspace approach. Subspace method separates the signal and noise subspace using eigenvalue analysis. Improved signal can be reconstructed by removing the noise subspace and retaining the signal subspace by selecting suitably the number of principal components. In this paper the experimental results shows the good noise reduction with minimum signal distortion.
Published in: 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI)
Date of Conference: 22-25 August 2013
Date Added to IEEE Xplore: 21 October 2013
ISBN Information:
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- IEEE Keywords
- Index Terms
- Speech Enhancement ,
- Speech Enhancement Methods ,
- Eigenvalues ,
- Denoising ,
- Noisy Signal ,
- Signal Distortion ,
- Minimal Distortion ,
- Signal Subspace ,
- Noise Subspace ,
- Covariance Matrix ,
- White Noise ,
- Clear Signal ,
- Weight Function ,
- Noise Signal ,
- Speech Signal ,
- Speech Intelligibility ,
- Noise Estimation ,
- Noise Spectrum ,
- Speech Rate ,
- Signal Reconstruction ,
- Railway Noise ,
- Minimum Description Length ,
- Speech Detection ,
- Speech Quality ,
- Babble Noise ,
- Wiener Filter ,
- Enhancement Approach
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Speech Enhancement ,
- Speech Enhancement Methods ,
- Eigenvalues ,
- Denoising ,
- Noisy Signal ,
- Signal Distortion ,
- Minimal Distortion ,
- Signal Subspace ,
- Noise Subspace ,
- Covariance Matrix ,
- White Noise ,
- Clear Signal ,
- Weight Function ,
- Noise Signal ,
- Speech Signal ,
- Speech Intelligibility ,
- Noise Estimation ,
- Noise Spectrum ,
- Speech Rate ,
- Signal Reconstruction ,
- Railway Noise ,
- Minimum Description Length ,
- Speech Detection ,
- Speech Quality ,
- Babble Noise ,
- Wiener Filter ,
- Enhancement Approach
- Author Keywords