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


  • Manuel Ortega-Rodríguez Escuela de Física y Centro de Investigaciones Geofísicas, Universidad de Costa Rica
  • Hugo Solís-Sánchez Escuela de Física y Centro de Investigaciones Geofísicas, Universidad de Costa Rica
  • Diana Valverde-Méndez Department of Physics, Princeton University
  • Ariadna Venegas-Li Physics Department, University of California at Davis



automated speaker identification, long term spectra, forensic acoustics, emotional distortions, anger


Forensic speaker identification has traditionally considered approaches based on long-term (a few tens of seconds) spectra analysis as especially robust. This is because 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. Because of this, the long-term spectra approach is one of the preferred tools for forensic speaker identification, in addition to formant analysis, speed of speech, and determination of the fundamental frequency. However, we find 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 (in the space of sample correlations). Therefore, caution should be exercised when applying this tool.


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AeV 54 - The effects of anger on automated long-term-spectra based speaker-identification




Como Citar

ORTEGA-RODRÍGUEZ, M.; SOLÍS-SÁNCHEZ, H.; VALVERDE-MÉNDEZ, D.; VENEGAS-LI, A. The effects of anger on automated long-term-spectra based speaker-identification. Acústica e Vibrações, [S. l.], v. 37, n. 54, p. 53–60, 2022. DOI: 10.55753/aev.v37e54.194. Disponível em: Acesso em: 14 jul. 2024.