The Use of Perceptual Energy in Speaker Discrimination

Zhao Sun, Lei Wang
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Abstract

The short-term energy is widely used in various speaker discriminating applications (such as speaker verification system, diarization system and etc). However, unlike the well-known loundness measurement, its calculation takes no considerations on the human auditory properties. Since it has been shown that PLP is, to some extent, better than MFCC due to its well approximation of the excitation pattern to the human hearing system, the perceptual energy is thus introduced in this paper to replace the short-term energy, which is calculated to the PLP framework. It has been demonstrated that the newly introduced energy measurement exhibits more disseminating power with less computational overhead than the classical short-tem loudness. Its effectiveness is further verified in the application of speaker diarization.
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知觉能量在说话人辨别中的应用
短时能量被广泛应用于各种说话人识别应用中(如说话人验证系统、拨号系统等)。然而,与众所周知的懒散度测量不同,它的计算没有考虑人类听觉特性。由于PLP在一定程度上优于MFCC,因为它很好地逼近了人类听觉系统的激发模式,因此本文引入了感知能量来代替短期能量,并将其计算到PLP框架中。结果表明,与传统的短时响度测量相比,新引入的能量测量具有更大的传播能力和更少的计算开销。在说话人化的应用中进一步验证了其有效性。
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