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'SYNCPITCH': A PSEUDO PITCH SYNCHRONOUS ALGORITHM FOR SPEAKER RECOGNITION

机译:'SYNCPITCH':用于扬声器识别的伪音调同步算法

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摘要

Pitch mismatch between enrollment and testing is a common problem in speaker recognition systems. It is well known that the fine spectral structure related to fundamental frequency manifests itself in Mel cepstral features used for speaker recognition. Therefore pitch variations result in variation of the acoustic features, and potentially an increase in error rate. A previous study introduced a signal processing procedure termed depitch that attempts to remove pitch information from the speech signal by forcing every speech frame to be pitch synchronous and include a single pitch cycle. This paper presents a modification of the depitch algorithm, termed syncpitch, that performs pseudo pitch synchronous processing while still preserving the pitch information. The new algorithm has a relatively moderate effect on the speech signal. System combination of syncpitch with a baseline system is shown to improve speaker verification accuracy in experiments conducted on the 2002 NIST Speaker Recognition Evaluation data.
机译:在说话者识别系统中,注册和测试之间的音调不匹配是一个普遍的问题。众所周知,与基频相关的精细频谱结构在用于说话人识别的梅尔倒谱特征中表现出来。因此,音高变化导致声学特征的变化,并且潜在地导致错误率的增加。先前的研究介绍了一种称为“音调”的信号处理程序,该程序试图通过迫使每个语音帧音调同步并包括单个音调周期来从语音信号中删除音调信息。本文提出了一种称为“同步音高”的解音高算法的改进方案,该算法可以在保持音高信息的同时执行伪音高同步处理。新算法对语音信号的影响相对较小。在2002 NIST说话者识别评估数据上进行的实验中,显示了同步音高与基准系统的系统组合可以提高说话者验证的准确性。

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