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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fu-Kun Chen Bo-Kai Su Yue-Dar Jou |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Computer Science and Information Engineering, Southern Taiwan University, Taiwan (Fu-Kun Chen; Bo-Kai Su) || Department of Electrical Engineering, ROC Military Academy, Taiwan (Yue-Dar Jou) |
| Abstract | The algebraic code excited linear prediction (ACELP) algorithm, due to low complexity and high quality in its analysis-by-synthesis (AbS) optimization, has been adopted by many speech coding standards. In this paper, the scalability of computational complexity to the global pulse replacement search method for ACELP is proposed. In addition, the proposed method can achieve the lowest computational complexity with perceptually negligible degradation. Based on the standard subjective and objective quality measurements, the experimental results reflect the facts. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 188939 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424432974 |
| DOI | 10.1109/ICDSP.2009.5201059 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-05 |
| Publisher Place | Greece |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Scalability Algorithm design and analysis Speech codecs Computational complexity Prediction algorithms Speech analysis Speech coding Code standards Search methods Degradation complexity scalability ACELP stochastic codebook global pulse replacement |
| Content Type | Text |
| Resource Type | Article |
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