Speech coding has been major issue in the area of digital speech processing. Speech coding is the process of transforming the speech signal in a more compressed form, which can then be transmitted with few numbers of ...
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Speech coding has been major issue in the area of digital speech processing. Speech coding is the process of transforming the speech signal in a more compressed form, which can then be transmitted with few numbers of binary digits. It is not possible to access unlimited bandwidth of a channel each time we send a signal across it which leads to code and compress speech signals. Speech compression is applied in long distance communication, high-class speech storage, and message encryption. Speech coding is a lossy type of coding and hence the output signal does not exactly sound like the input. Speech coding techniques discussed here are linearpredictivecoding, waveform coding, code excited linear predictive coding, etc. linearpredictivecoding and code excited linear predictive coding techniques are studied with the help of MATLAB to check their performance measures like compression ratio and speech audible quality. (C) 2015 Published by Elsevier B.V. This is an open access article under CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).
Speech coding has been major issue in the area of digital speech processing. Speech coding is the process of transforming the speech signal in a more compressed form, which can then be transmitted with few numbers of ...
详细信息
Speech coding has been major issue in the area of digital speech processing. Speech coding is the process of transforming the speech signal in a more compressed form, which can then be transmitted with few numbers of binary digits. It is not possible to access unlimited bandwidth of a channel each time we send a signal across it which leads to code and compress speech signals. Speech compression is applied in long distance communication, high-class speech storage, and message encryption. Speech coding is a lossy type of coding and hence the output signal does not exactly sound like the input. Speech coding techniques discussed here are linearpredictivecoding, waveform coding, code excited linear predictive coding, etc. linearpredictivecoding and code excited linear predictive coding techniques are studied with the help of MATLAB to check their performance measures like compression ratio and speech audible quality.
This paper proposes a packet loss recovery method using a packet arrived behind the playout time for CELP decoding. The proposed method recovers synchronization of the filter states between encoding and decoding in th...
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ISBN:
(纸本)0780374029
This paper proposes a packet loss recovery method using a packet arrived behind the playout time for CELP decoding. The proposed method recovers synchronization of the filter states between encoding and decoding in the period following packet loss. The recovery is performed by replacing the degraded filter states with ones adaptively calculated from the late arrival packet in decoding. When the proposed method is applied to the AMR speech decoder, it improves the segmental SNR by 0.2 to 1.8 dB at packet loss rates of I to 10 116, where all the packet losses occur due to their late arrival. The subjective test results show that five-grade mean opinion scores are improved by 0.3 and 0.2 at a packet loss rate of 5% at speech coding bitrates of 7.95 and 12.2 kbps, respectively.
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