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Serial Hardware Implementation of the MFCC and MLP Architecture on FPGA Circuit

机译:FPGA电路MFCC和MLP架构的串行硬件实现

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Most audio processing algorithms require complex mathematical operations and a massive amount of data which are often performed in real time. Our robotic application requires complex algorithms such as MFCC, ANN (Artificial Neural Networks) and voice database. It must therefore use a fast and efficient electronic system, for that we used a processor NIOSII based FPGA to implement materially MLP and perform voice recognition functions in real time. Moreover, it is now possible to modify the internal architecture of FPGAs to create one or more central processors (NIOSII). FPGAs now offer low-cost, flexible implementation, fast and convenient with a reduction in energy consumption for many digital systems which are based on NIOSII.
机译:大多数音频处理算法需要复杂的数学运算和大量数据,这些数据通常实时执行。我们的机器人应用需要复杂的算法,如MFCC,ANN(人工神经网络)和语音数据库。因此,必须使用快速高效的电子系统,因为我们使用基于处理器NiosII的FPGA来实现实际MLP并实时执行语音识别功能。此外,现在可以修改FPGA的内部架构以创建一个或多个中央处理器(NIOSII)。 FPGA现在提供低成本,灵活的实施,快速方便,减少了基于Niosii的许多数字系统的能耗。

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