Syed Abdul Jabbar, Purva Sharma, K. Gurugubelli, Syed Azeemuddin, A. Vuppala
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引用次数: 1
摘要
Epoch定位是分析语音信号激励源信息的一个重要参数。几年来,人们进行了大量的研究,以找到时代的准确位置。声道期是声道系统处于明显兴奋状态的时刻。在语音信号的产生过程中,可以发现时代的显著位置。然而,由于激发源和声道系统的时变性质,很难找到准确的时代位置。在各种历元提取方法中,零频率滤波(Zero Frequency Filtering, ZFF)以其最高的识别率和最低的虚警率,成为最简单、应用最广泛的历元精确定位方法。ZFF方法采用无限脉冲响应(Infinite Impulse Response, IIR)滤波器和趋势去除块,但该方法使用的滤波器不稳定,不适合实际应用。在文献中,已经提出了许多稳定的ZFF算法实现。与其他稳定的ZFF算法相比,零相位零频率谐振器设计简单,在包括ZFF在内的其他历元提取算法中具有最高的识别率。本文采用硬件描述语言Verilog在FPGA板上实现了ZFF和ZP-ZFR。
Implementation of Zero-Phase Zero Frequency Resonator Algorithm on FPGA
Epoch location is an important parameter for analysis of excitation source information from the speech signals. From several years lot of research have been done to find accurate locations of epochs. Epochs are instants at which vocal tract system are excited significantly. The prominent location of epochs can be found during the production of speech signals. However, due to the time varying nature of excitation source and the vocal tract system it is difficult to find accurate location of epochs. From various epoch extraction methods, Zero Frequency Filtering (ZFF) is the simplest and most widely used method to find accurate locations of epochs due to its highest identification rate and lowest false alarm rate among other algorithms. ZFF uses Infinite Impulse Response (IIR) filter followed by trend removal blocks however, the filter used in ZFF method is unstable which makes it unsuitable for practical implementation. In the literature many stable implementations of ZFF algorithms have been proposed. Compared to other stable algorithms of ZFF, Zero-phase Zero Frequency Resonator has simple design and gives the highest identification rate among other epoch extraction algorithms including ZFF. In this paper, the implementation of ZFF and ZP-ZFR has been proposed on FPGA board using Verilog which is Hardware Description Language (HDL).