Intoxication detection using phonetic, phonotactic and prosodic cues

Biadsy, Fadi; Wang, William Yang; Rosenberg, Andrew E.; Hirschberg, Julia

doi:10.21437/interspeech.2011-803

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Cited by 3 publications

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“…In an acoustic analysis, they found that English TED talkers had more melodic variability and paused more often than Czech ones. Skarnitzl and Hledíková discuss these findings with reference to a culture and language-specific perception of perceived speaker charisma (see Biadsy et al, 2008). Barbosa examined how the acoustics of recited poetry correlates with the perception of pleasantness and wellbeing in listeners.…”

mentioning

confidence: 99%

Editorial: Effective and attractive communication signals in social, cultural, and business contexts

et al. 2023

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mentioning

confidence: 99%

Editorial: Effective and attractive communication signals in social, cultural, and business contexts

et al. 2023

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Determining Alcohol Intoxication Based on Speech and Neural Networks

Laptev,

Litovkin,

Kostyuchenko

2023

Lecture Notes in Computer Science

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A phonetic case study on prosodic variability in suicidal emergency calls

Tavi

Werner

2020

The International Journal of Speech, Language and the Law

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Speech prosody has been applied in numerous speech emotion recognition tasks. Yet, especially in forensic speech science, a need for acoustic-phonetic analyses with human evaluation still exists since many current speech emotion models are trained with speech data wherein emotions are considered as constant states and the dynamic effects of the interlocutor have been disregarded; for instance, during an emergency call, the caller’s emotional prosody varies according to the communication with the emergency operator, which causes problems for existing speech emotion models when analysing individual emergency recordings. In this phonetic case study, prosodic variation was investigated in two suicidal emergency calls; eight prosodic features from two adult male callers were analysed before and after hearing the emergency operators’ offer to help. In addition, the existence of a possible linear association between the emergency operator’s and the caller’s prosodic features were evaluated. The results show that caller and operator pitch are negatively correlated (?0.33), and half of callers’ prosodic features vary significantly (p < 0.05) after hearing the offer of help.

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Intoxication detection using phonetic, phonotactic and prosodic cues

Cited by 3 publications

References 6 publications

Editorial: Effective and attractive communication signals in social, cultural, and business contexts

Editorial: Effective and attractive communication signals in social, cultural, and business contexts

Determining Alcohol Intoxication Based on Speech and Neural Networks

A phonetic case study on prosodic variability in suicidal emergency calls

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