Description: Speech compression using Linear Predictive Coding.
LPC is the oldest and the most basic of modern speech coders. Its a lossy scheme. Playback quality isn t preserved in the process but it can be used in low bit-rate systems. Platform: |
Size: 234496 |
Author:Ed |
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Description: In this paper the analysis of the compression process was performed by comparing the compressed signal against the original signal. To do this the most powerful speech analysis and compression techniques such as Linear Predictive Coding (LPC) and Discrete Wavelet Transform (DWT) was implemented using MATLAB. Here nine samples of spoken words are collected from different speakers and are used for implementation. The results obtained from LPC were compared with other compression technique called Discrete Wavelet Transform. Finally the results were evaluated in terms of compressed ratio (CR), Peak signal-to-noise ratio (PSNR) and Normalized root-mean square error (NRMSE).The result shows that DWT performance was better for these samples than the LPC method. Platform: |
Size: 147456 |
Author:Ambika |
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Description: Speech Based Watermarking for Digital Images
This paper presents a novel scheme of
watermarking of digital images for copyright protection and
authentication. In this paper we proposed a method of
embedding owner’s speech signal. Speech being a biometric data,
the watermark signal in this method is expected to be more
meaningful and has closer correlation with copyright holder.
The main issue of concern here is the capacity because the speech
data has large number of samples. Linear predictive coding is
used to encode the audio data. Here, speech samples are
imperceptibly inserted using spread spectrum technique into the
mid frequency band of wavelet transform of image which makes
it robust to lossy compression. Applications for such a speechhiding
scheme include copy protection, authentication and covert
communication. Platform: |
Size: 195584 |
Author:Nayan Patel |
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Description: In this paper we proposed a method of
embedding owner’s speech signal. Speech being a biometric data,
the watermark signal in this method is expected to be more
meaningful and has closer correlation with copyright holder.
The main issue of concern here is the capacity because the speech
data has large number of samples. Linear predictive coding is
used to encode the audio data. Here, speech samples are
imperceptibly inserted using spread spectrum technique into the
mid frequency band of wavelet transform of image which makes
it robust to lossy compression. Applications for such a speechhiding
scheme include copy protection, authentication and covert
communication. Platform: |
Size: 1614848 |
Author:Nayan Patel |
Hits:
Search - Linear Predictive Coding for speech compression in