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多参数法清浊音分析的改进

Improvements of multi-parameters method of unvoiced/voiced signal analyzing
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摘要 设计提出了一种多参数的清/浊音判决法。该方法是在传统两参数(短时能量和过零率)算法基础上增加了自相关函数和短时平均幅度作为判决参数,并通过对短时能量、平均幅度、短时过零率曲线等参数的分析和计算,来达到减少清/浊音信号的误判率的目的。经实验证明,算法切实可行,且误判概率小。 This design presents a method of voicing decision based on multiple parameters. Based on the traditional two-para meters (short-term energy and zero-crossing rate) algorithm, it involves self-relation function and short-term average range as decision parameters. By anaryzing and calculating the short-time energy, the average rate, the short-time zero-crossing rate curve and other related parameters,it can achieve the goal of reducing the rate of unvoiced/voiced misjudyment. Simulation results show that this method is ideal for real world implementation and the rate of misjudgment is low.
出处 《河北工业科技》 CAS 2009年第6期471-474,共4页 Hebei Journal of Industrial Science and Technology
关键词 清/浊音 过零率 平均幅度 短时能量 自相关 unvoiced/voiced zero-crossing rate average range short-time energy self-relation
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