带线性预测的多模多频带激励声码器

Yanxia Liang, Jiawei Yang, Ye Li
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引用次数: 1

摘要

提出了一种2.35kbps速率的多模多频带线性预测激励模型(MMBE-LP)。与MBE声码器相比,该声码器改进了清/清(U/V)判断和频谱幅度估计。为了获得更好的量化结果,不同的码本用于不同的U/V判定模式,因此一帧中的子带数量是固定的。采用线性预测方法估计谱幅值,采用多阶段矢量量化方法量化谱幅值。仿真结果表明,合成语音的不浊音部分和浊音部分与原始语音有明显的一致性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Multimode Multi-Band Excitation with Linear Prediction vocoder
This paper presents a Multimode Multi-Band Excitation with Linear Prediction model (MMBE-LP) at 2.35kbps. Unvoiced/Voiced (U/V) decisions and spectrum amplitudes estimations are improved in this vocoder compared with MBE vocoder. For better quantization results, different codebooks are used for different modes of U/V decision, so the number of sub-bands in a frame is fixed. Spectral amplitudes are estimated by Linear Prediction Mode and quantized by MSVQ (Multi-Stage Vector Quantization). Simulation results show that the unvoiced and voiced parts of synthetic speech are coherent with the parts of original speech obviously.
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