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Recognition of low-level alcohol intoxication from speech signal.
Abstract
Eleven male subjects were required to read a text in both sober and alcohol intoxicated conditions. By means of statistical signal analysis, frequency distributions of fundamental frequency (F0), signal-to-noise ratio (SNR), ratio of first- to second-formant frequencies (F1/F2), variation speed of the frequencies F0, F1, F2, and the long-term average spectrum (LTAS) were determined. The distributions were examined for their suitability in discriminating between sober and intoxicated conditions. The SNR and F0 distributions as well as the LTAS discriminated with an error rate less than 5%. Combination of SNR and F0 profiles enabled correct discrimination in all cases. The parameter F1/F2 describing the articulation varied strongly among individuals. It was modified only with high levels of blood alcohol. Frequency variation speeds were not altered by intoxication. Speaker recognition by means of LTAS was more difficult in the intoxicated condition. The principal effect of intoxication on speech was interpreted as a perturbation of laryngeal movement control, where long-term voice effort was found to produce similar effects to alcohol intoxication. On the basis of the present results and various other factors (ambiguity of the sources of the acoustic effects, expense of the procedure), application of acoustic analysis in forensic medicine for recognition of low-level alcohol intoxication is considered inexpedient.
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In the citing paper
“Klingholz et al. (1988) showed significantly increased variance ranges between peaks and valleys due to alcohol intoxication.”
From Voice Stress Analysis: A New Framework for Voice and Effort in Human Performance (2018) · cites this paper as Klingholz et al. (1988)
In the citing paper
“Moreover, the combination of SNR and the F0 parameters offered a robust indicator with a near to perfect detection rate even in lower intoxication whereas the F1/F2 ratio became only sensitive in high levels of intoxication with interindividual differences (Klingholz et al., 1988).”
From Voice Stress Analysis: A New Framework for Voice and Effort in Human Performance (2018) · cites this paper as Klingholz et al. (1988)
In the citing paper
“However, a study by Klingholz et al. (1988) on 11 male subjects suggested that it is not F0 itself that should be analyzed, but rather its variance.”
From Voice Stress Analysis: A New Framework for Voice and Effort in Human Performance (2018) · cites this paper as Klingholz et al. (1988)
In the citing paper
“Fourthly, in a study of Klingholz et al. (1988) on alcohol-intoxication, expanded F0-ranges were found as well.”
From Voice Stress Analysis: A New Framework for Voice and Effort in Human Performance (2018) · cites this paper as Klingholz et al., 1988
Citations
Cited by
Sorted by citations
Voice Stress Analysis: A New Framework for Voice and Effort in Human Performance
Van Puyvelde, M., Neyt, X., McGlone, F., & Pattyn, N. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.01994 · Cited by 129
Speech during sustained operations.
Whitmore, J., & Fisher, S. (1996) · Speech Communication · doi:10.1016/s0167-6393(96)00044-1 · Cited by 76
Metadata
- Authors
- Klingholz, F., Penning, R., & Liebhardt, E.
- Affiliations
- Ludwig-Maximilians-Universität München (DE)
- Venue
- The Journal of the Acoustical Society of America
- Publisher
- Acoustical Society of America (ASA)
- Published
- 1988-09-01
- Volume
- 84
- Issue
- 3
- Pages
- 929-935
- ISSN
- 0001-4966 (ISSN-L)
- 1520-8524
- OpenAlex
- W1999674789
- Cited by
- 57
- References
- 0
- Citations by year
- 2025: 1 · 2024: 2 · 2023: 4 · 2021: 1 · 2019: 3 · 2018: 4 · 2017: 1 · 2016: 1 · 2015: 2 · 2014: 5 · 2013: 3 · 2012: 3
- FWCI
- 1.57
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Journal of the Acoustical Society of America (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Phonetics and Phonology Research
- Health Sciences › Health Professions › Speech and Hearing › Voice and Speech Disorders
- Physical Sciences › Computer Science › Artificial Intelligence › Speech Recognition and Synthesis
- Keywords
- alcohol intoxication, speech analysis, fundamental frequency, signal-to-noise ratio, long-term average spectrum, forensic voice analysis, blood alcohol concentration
- MeSH terms
- Alcoholic Intoxication, Humans, Male, Speech
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Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Recognition of low-level alcohol intoxication from speech signal. https://app.cochat.ai/papers/10.1121/1.396661
- The paper
- Klingholz, F., Penning, R., & Liebhardt, E. (1988). Recognition of low-level alcohol intoxication from speech signal. The Journal of the Acoustical Society of America. https://doi.org/10.1121/1.396661
