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Optimal speech codec implementation on ARM9E (V5E architecture) RISC processor for next-generation mobile multimedia

机译:用于下一代移动多媒体的ARM9E(V5E架构)RISC处理器的最佳语音编解码器实现

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The mobile phone is undergoing a rapid evolution from a voice and limited text-messaging device to a complete multimedia client. RISC processors are predominantly used in these devices due to low cost, time to market and power consumption. The growing demand for signal processing performance on these platforms has triggered a convergence of RISC, CISC and DSP technologies on to a single core/system. This convergence leads to a multitude of challenges for optimal usage of available processing power. Voice codecs, which have been traditionally implemented on DSP platforms, have been adapted to sole RISC platforms as well. In this paper, the issues involved in optimizing a standard vocoder for RISC-DSP convergence platform (DSP enhanced RISC platforms) are addressed. Our optimization techniques are based on identification of algorithms, which could exploit either the DSP features or the RISC features or both. A few algorithmic modifications have 'also been suggested. By a systematic application of these optimization techniques for a GSM-AMR (NB) codec on ARM9E core, we could achieve more than 77% improvement over the baseline codec and almost 33% over that optimized for a RISC platform (ARM9T) alone in terms of processing cycle requirements. The optimization techniques outlined are generic in nature and are applicable to other vocoders on similar 'application-platform' combinations.
机译:移动电话从语音和有限的文本消息设备到完整的多媒体客户端进行快速发展。 RISC处理器主要在这些设备中使用,由于成本低,时间和功耗。在这些平台上的信号处理性能不断增长的需求已引发RISC,CISC和DSP技术的收敛到单核/系统。这种收敛导致多种挑战,以获得可用处理能力的最佳使用。传统上在DSP平台上实现的语音编解码器已经适用于唯一的RISC平台。在本文中,解决了优化RISC-DSP收敛平台(DSP增强RISC平台)的标准声码器的问题。我们的优化技术基于识别算法,该算法可以利用DSP功能或RISC功能或两者兼而有之。还提出了一些算法修改。通过对ARM9E核心的GSM-AMR(NB)编解码器的这些优化技术的系统应用,我们可以通过基线编解码器实现超过77%的改进,并且在术语中对RISC平台(ARM9T)优化的几乎是33%处理循环要求。概述的优化技术是通用的,适用于类似“应用程序平台”组合的其他声码。

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