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arXiv · 1802.00507

The effects of anger on automated long-term-spectra based speaker-identification

Diana Valverde-Méndez·Manuel Ortega-Rodríguez·Hugo Solís-Sánchez·Ariadna Venegas-Li
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Abstract

Forensic speaker identification has traditionally considered approaches based on long term spectra analysis as especially robust, given that they work well for short recordings, are not sensitive to changes in the intensity of the sample, and continue to function in the presence of noise and limited passband. We find, however, that anger induces a significant distortion of the acoustic signal for long term spectra analysis purposes. Even moderate anger offsets speaker identification results by 33% in the direction of a different speaker altogether. Thus, caution should be exercised when applying this tool.

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Diana Valverde-Méndez, Manuel Ortega-Rodríguez, Hugo Solís-Sánchez, Ariadna Venegas-Li. 2018-01-20. The effects of anger on automated long-term-spectra based speaker-identification. https://arxiv.org/abs/1802.00507

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