Age Estimation from Faces and Voices: A Review

Moyse, Evelyne

doi:10.5334/pb.aq

Cited by 46 publications

(32 citation statements)

References 46 publications

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“…In the first ever examination of this issue, we found the victims' mean absolute age estimation error was 4.78 years. This means the victims were slightly more accurate than participants in many laboratory-based age estimation studies (see Moyse, 2014) but slightly less accurate than robbery victims (Tollestrup et al, 1994). Just over one-fifth of sexual assault victims provided an exact age estimation, with 11.67% being within 0.99 years of the offenders true age.…”

Section: Overall Age Estimation Accuracymentioning

confidence: 91%

An archival analysis of sexual assault victims’ age estimation accuracy when describing stranger offenders

Thorley

Almond

Gregory³

et al. 2018

Psychology, Crime & Law

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Approximately 10% of all serious sexual assaults in England and Wales involve victims and offenders who are strangers. The victims often estimate the stranger offender's age during police interviews. These age estimations, if accurate, can help identify offenders. This archival analysis examined the accuracy of 546 stranger sexual assault victims' age estimations. It also examined whether their accuracy can be predicted by victim ageoffender age differences, victim age -offender estimated age differences, victim raceoffender race differences, victim intoxication, victims' duration of exposure to offenders, the time delay between assaults and age estimations, whether offenders have weapons, and whether offenders use sighting precautions. Amongst the descriptive findings, we found victims' mean age estimation error was 4.78 years, the degree of over-and underestimation was equivalent, that only 12.5% of age estimations were within 0.99 years of an offender's true age, but 90% were within 9.99 years of an offender's true age. Only victim ageoffender age differences and, importantly, victim age -offender estimated age differences predicted age estimation accuracy: as age differences decreased, accuracy increased. These findings can help predict stranger sexual assault victims' age estimation accuracy in future cases.

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Section: Overall Age Estimation Accuracymentioning

confidence: 91%

An archival analysis of sexual assault victims’ age estimation accuracy when describing stranger offenders

Thorley

Almond

Gregory³

et al. 2018

Psychology, Crime & Law

View full text Add to dashboard Cite

show abstract

“…It is possible to say that the current participants were in their early 20s (i.e., young) and therefore, the perceived ages of younger speakers were more accurate than those of older speakers. The results suggest that an own-age bias also exists (Moyse, 2014) in the age estimation of emotional voices.…”

Section: Resultsmentioning

confidence: 85%

“…The results further showed that the tendency is more conspicuous in female happy voices than male happy voices. As noted by Moyse (2014), although voices are often considered to be the auditory counterparts of faces, the comparison between voice and face is not always obvious; methods and dependent variables of age estimation research differed between studies using faces and those using voices as stimuli. Further research would be necessary to elucidate the discrepant results between male and female speakers and between facial expression and vocal emotion.…”

Section: Discussionmentioning

confidence: 99%

Speaking with a Happy Voice Makes You Sound Younger

Shigeno¹

2016

IJPS

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This study investigates the effects of emotional voices (expressing neutral emotion, sadness, and happiness) on a judgement of a speaker's age. An experiment was conducted to explore whether happy voices sound younger than neutral and sad voices. The identification of 24 speakers' ages (12 of each gender) based on their emotional voices was done by 40 participants. The speakers' ages were 24-75 years. Participants identified the age of each speaker only by hearing his/her emotional voice. The results showed that when a speaker spoke with a happy voice, participants estimated their age to be younger than their chronological age. Furthermore, the results regarding female happy voices were more conspicuous than male happy voices. In contrast, when a speaker spoke with a sad voice, participants estimated them to be older. The results suggest that a happy voice sounds younger because of its higher voice pitch (F0). We discussed the role of vocal pitch and other paralinguistic factors for providing an aging impression.

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“…Listeners are generally fairly accurate in estimating speakers' age from their speech (Krauss, Freyberg, & Morsella, 2002;Moyse, 2014;Ryan & Capadano, 1978; however, see Benjamin, 1992, for a discussion to the contrary). Ryan & Capadano (1978) recorded correlations of 0.90 and 0.93 between estimated age and real age for a passage-length stimulus and Krauss et al (2002) -a correlation of 0.61 for sentence-length stimuli.…”

Section: Introductionmentioning

confidence: 99%

Age Estimation in Foreign-accented Speech by Native and Non-native Speakers

Gnevsheva

Bürkle

2019

Lang Speech

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Current research shows that listeners are generally accurate at estimating speakers' age from their speech. This study investigates the effect of speaker first language and the role played by such speaker characteristics as fundamental frequency and speech rate. In this study English and Japanese first language speakers listened to English-and Japanese accented English speech and estimated the speakers' age. We find the highest correlation between real and estimated speaker age for English listeners listening to English speakers, followed by Japanese listeners listening to both English and Japanese speakers, with English listeners listening to Japanese speakers coming last. We find that Japanese speakers are estimated to be younger than the English speakers by English listeners, and both groups of listeners estimate male speakers and speakers with a lower mean fundamental frequency to be older. These results suggest that listeners rely on sociolinguistic information in their speaker age estimations and language familiarity plays a role in their success.

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Age Estimation from Faces and Voices: A Review

Cited by 46 publications

References 46 publications

An archival analysis of sexual assault victims’ age estimation accuracy when describing stranger offenders

An archival analysis of sexual assault victims’ age estimation accuracy when describing stranger offenders

Speaking with a Happy Voice Makes You Sound Younger

Age Estimation in Foreign-accented Speech by Native and Non-native Speakers

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