比较时频分析方法在语音编码中的应用

2016 7th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT) Pub Date : 2016-12-01 DOI:10.1109/SETIT.2016.7939908

S. Bousselmi, K. Ouni

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引用次数: 1

摘要

本文的目的是比较两种时频分解在语音编码中的性能。这些分解是基于小波和小波框架理论。与小波相比，小波帧的主要优点是重构效果好、对量化噪声的恢复能力强、位移不变性强、对称性好、时频局部化好。测试结果表明，紧凑小帧包变换的语音编码质量优于小波包变换。

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The comparison of time-frequency analysis methods for speech coding application

The goal of this paper is to compare the performance of two time-frequency decomposition in a context of speech coding. These decompositions are based on wavelet and wavelet frame theory. The main advantages of wavelet frame compared to wavelet are perfect reconstruction, resilience to quantization noise, nearly shift-invariant, symmetry and good time-frequency localization. The evaluation tests reveal that the quality of coded speech using the tight framelets packet transform outperform that of the wavelets packet transform.

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2016 7th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)

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