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首页> 外文期刊>Journal of Electronic Testing: Theory and Applications: Theory and Applications >A new on-line robust approach to design noise-immune speech recognition systems
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A new on-line robust approach to design noise-immune speech recognition systems

机译：设计抗噪声语音识别系统的新型在线鲁棒方法

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Hereafter, we present a new approach dealing to cope with the harmful effects of noise on speech recognition systems (SRS). This approach is oriented to hardware redundancy and it is essentially a modification of the classic Recovery Blocks scheme. When compared to conventional approaches using Fast Fourier Transform (FFT) and Hamming Code, the primary benefit of such a technique is to improve system performance when operating in real (i.e., noisy) environments. The second advantage is related to the considerably low complexity and reduced area overhead required for implementation. We implemented three full versions of the proposed algorithm: one running of a PC microcomputer, and a second one slightly modified to run on a TMS-320C67 Texas DSP microprocessor module. Both of them were described in the C language. Finally, a last implementation was prototyped on a HW-SW development environment based on the same Texas microprocessor and on the FLEX10K20 FPGA Altera Component.
机译：此后，我们提出一种新方法来应对噪声对语音识别系统（SRS）的有害影响。此方法面向硬件冗余，并且本质上是对经典恢复块方案的修改。与使用快速傅里叶变换（FFT）和汉明码的常规方法相比时，这种技术的主要好处是在真实（即嘈杂）环境中运行时，可以提高系统性能。第二个优点与实现所需的相当低的复杂性和减少的区域开销有关。我们实现了所提出算法的三个完整版本：一个运行PC微型计算机，另一个进行稍微修改以在TMS-320C67 Texas DSP微处理器模块上运行。两者都是用C语言描述的。最后，最后的实现在基于相同德克萨斯州微处理器和FLEX10K20 FPGA Altera组件的HW-SW开发环境中原型化。

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