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Modified Detection of Aperiodicity,Periodicity and Pitch in Speech
一种语音信号非周期性、周期性及基频检测的改进方法

Keywords: Speech processing,Pitch detection,Periodicity energy,Aperiodicity energy,Average Magnitude Difference Function (AMDF)
语音信号处理
,基频检测,周期能量,非周期能量,平均幅值差分函数,语音信号,非周期性,基频检测,改进方法,Detection,Modified,Speech,Pitch,计算机,Pentium,内存,时钟频率,计算效率,鲁棒性,改善,合理性基础,处理机制,加强,发展,冗余处理

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Abstract:

The APP method is capable to provide excellent estimation of speech aperiodic / periodic measurement and pitch simultaneously which is useful in speech research and application. However, due to its heavy computational load, APP system is about 110 times real-time, being an extinct flaw for utilization. In this paper, a modified detection of aperiodicity, periodicity and pitch in speech (MAPP) method is presented, which maintains the merit of APP method and eliminates the redundancy of configuration and computation, rationalizing the methodology. Computer simulation shows that MAPP method maintains high accuracy and robustness and that the system is improved to 12.3 times real-time on Pentium processor with 1.70GHz CPU and 512MB RAM, speeding up about one order of magnitude.

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