What affects accuracy
Did you know: female elephants can recognise the contact
call of a family member at distances of up to 2.5
km, although recognition usually works over 1–1.5 km.
Source: McComb, Reby, Baker, Moss & Sayialel (2003), Animal
Behaviour
Three groups of factors
Leemann et al. (2024) group them by where they come from:
- the perpetrator’s voice: familiarity, typicality,
accent and language
- the speech the witness heard, and the delay before
the parade
- the listener: age, gender, attention, ability,
confidence
The perpetrator’s voice
- Courts treat a witness who knew the speaker as more
believable. Voice parades are not usually held in that case, because the
question changes: can the witness recognise the person they claim to
know?
- Typicality matters too. A
voice with features that are rare in the witness’s experience, such as a
lisp or an unusual accent, is easier to pick out than one that shares
most features with the population
Accent and language
- Monolingual English listeners identified English
speakers better than Spanish speakers, whether they spoke Spanish or
English with a Spanish accent (Thompson, 1987). Performance nearly
doubles when the listener understands the language
- Listeners also recognise voices better in their own
accent: the other-accent effect (Stevenage,
Clarke & McNeill, 2012). Braun et al. (2018) found it even between
Tyneside, Wearside and Teesside
- In an unfamiliar accent or language, listeners
spend their attention on understanding, and less on cues to the speaker
such as pitch and speaking rate
Recording quality

Simulated, following the pattern in Nolan, McDougall & Hudson
(2013). Voices sound most alike over the telephone, which cuts
speaker-specific frequencies, and most different when one sample is
studio quality and the other telephone.
What this means for parades
- Parade samples should match the original
transmission: if the witness heard the perpetrator on a landline, the
parade should use telephone samples
- A voice first heard angry and then heard calm in a
parade is identified very poorly, because within-speaker variation is
high. Background noise at the crime scene, such as traffic or machines,
can make things worse
Disguise
- Disguise can make identification rates drop
sharply. Whisper is one of the easiest
disguises: the vocal folds do not vibrate, so there is no f0
- In Orchard & Yarmey (1995), a whispered voice,
or a change in tone between the crime and the line-up, made
identification harder, whether or not the target voice was in the
line-up
- Natural causes alter the voice too: a heavy cold,
hoarseness, a mask over the mouth. With a strong disguise, a parade may
not be worth holding
How much speech?
- Some studies find better identification after
longer exposure (Cook & Wilding, 1997), others a much smaller effect
(Künzel, 1990). Longer exposure never seems to hurt, and there is no
length after which identification becomes reliable
- Hearing the perpetrator in several moods or styles
may help, by showing more within-speaker variation. Witnesses who talked
with the perpetrator do better than those who only overheard (Hammersley
& Read, 1985)
How long did they hear it?
- Witnesses often cite a long exposure as the reason
for their confidence, but they are poor judges of it. In Orchard &
Yarmey (1995), students heard a mock kidnapper for 30 seconds or 8
minutes, and almost all overestimated how long they had listened, the
30-second group most of all
- Courts should be cautious about claims of long
exposure unless something else confirms them
Delay

McGehee (1937): listeners picked a voice they had heard once out of
five. After five months, identification fell below chance. Most later
studies also find a decline (Papcun, Kreiman & Davis, 1989), some a
smaller one (Van Wallendael et al., 1994).
Why delay matters in court
- Unlike exposure, the delay between the crime and
the parade is almost always known exactly
- An identification made soon after the crime carries
more weight than one made months later, and expert reports treat the
delay as one indicator of reliability. Results differ between studies
partly because some voices are much easier to recognise than others
The listener
- Listeners tend to identify voices of their own sex
better, but male voices are identified better overall
- Children identify voices above chance, and reach
adult performance at about age 10. Listeners aged 16 to 40 usually do
better than those over 40
- Listeners told to pay attention to a voice do
better later. A victim under threat may not have attended to the voice
at all
Expectation and confidence
- Because of confirmation
bias, a listener who expects a particular voice tends to hear it
in the line-up, especially when they think they know the speaker
- Confidence says little about accuracy for
unfamiliar voices (Hammersley & Read, 1985; Smith et al., 2020). For
familiar voices, confidence and accuracy do go together (Yarmey et al.,
2001)
- Describing the voice before the line-up can make
identification less accurate, without lowering confidence. This is verbal overshadowing (Perfect, Hunt & Harris,
2002)
Confidence and accuracy

Simulated, following the pattern in the studies on the previous
slide. Each point is one listener: mean confidence, and the share of
correct identifications over ten trials.
Ability
Some listeners are simply better than others, so averages from
experiments cannot predict how reliable one witness is.
- McGehee (1944) found that musically trained
listeners did best at picking the odd voice out of five. Research is now
looking for voice “super-recognisers”, and the Metropolitan Police in
London have used such skills for intelligence work
- Blind listeners outperformed sighted listeners on
studio-quality speech (Braun, 2016), and Belgian police have recruited
blind listeners for some forensic tasks
Experiments and real cases
The most reliable earwitness knew the voice, heard a lot of it in
good conditions and without disguise, talked with the perpetrator in an
accent they know, heard several speaking styles, paid attention, and
took part in a parade soon after. In practice, a witness rarely meets
more than a few of these conditions.
Experiments cannot recreate the stress of a crime. They show general
patterns, but cannot tell us how good one particular witness is. A real
event may leave a stronger memory than a laboratory task with nothing at
stake.
Earwitnesses in court
Did you know: wild African elephants seem to address
each other with individually specific, name-like
calls, and respond more strongly to recordings of calls that were
originally addressed to them.
Source: Pardo et al. (2024), Nature Ecology &
Evolution
Rarely used
- Voice parades take time and money, and many police
officers do not know about them. Only 4 of the 43 police forces in
England and Wales used them between 2005 and 2015 (Robson, 2017), and
fewer than ten are known from Australia (McGorrery & McMahon,
2017)
- Courts differ: some give earwitness evidence more
weight than it deserves, others dismiss it. In England and Wales, the
US, Canada and Australia, defendants have been convicted on earwitness
identification alone
What should a jury weigh?
Australian jury directions on voice identification ask (McGorrery
& McMahon, 2017):
- Was the offender a stranger to the witness?
- What opportunity did the witness have to hear the
voice, and how attentive were they?
- How clearly did they hear it? Was it
disguised?
- Was anything distinctive about the voice?
- How long and how loud was what they heard, and how
long ago?
R v Golledge (Australia)
A blindfolded man was assaulted and threatened by two men. He knew
one of them. Twelve days later he heard eleven voices, and said one
sounded similar to the second man, without being sure. The court found
his identification unreliable:
- the offender was a stranger, and the victim had
described nothing distinctive about the voice
- twelve days had passed
- he had smoked cannabis and taken Valium that
morning
- he had told the police the man had a New Zealand
accent, but the voice he chose did not
- he seemed to choose by eliminating the other
voices
- the parade samples were calm statements, while he
had heard insults and threats
R v Burrell (Australia)
- A kidnapper phoned the office of the victim’s
husband to call off the search. The receptionist described the voice as
husky, an educated man in his forties
- The police played her a spontaneous answer by the
suspect, Burrell, from an earlier interview, and six police officers
reading the same words. She said two of the seven sounded similar, one
of them Burrell’s
- The foils were not screened for similarity, the
samples were short, and Burrell’s was the only spontaneous one
- The court admitted the evidence anyway, because it
was circumstantial and not the main evidence
R v Hersey (England, 1998)
- Two men in balaclavas robbed a shop, talking to
each other throughout. The shopkeeper became convinced that one voice
was that of a regular customer, Hersey
- The police held a live voice parade, and the Court
of Appeal upheld the conviction. It said that juries need a warning
about voice identification, adapted from the warning used for
eyewitnesses
The 2003 guidelines later advised against live parades of this
kind.
R v Flynn and St John (England, 2008)
- A recording device in a van picked up the voices of
men preparing a robbery
- Four police officers said they recognised the
voices of the two defendants, from their contact with them after the
arrest (for St John, about two hours and twenty minutes). Two experts
for the defence said that the recording was too poor to identify
anyone
What the court said
The Court of Appeal quashed both convictions and ordered a retrial. A
lay listener’s ability to recognise a voice depends on:
- the quality of the recording
- the time between hearing the known voice and
hearing the recording
- the listener’s general ability to recognise
voices
- the nature and length of the speech sample
- how familiar the listener is with the known
voice
Police officers count as lay listeners, and
their evidence “must be treated with great caution and great care”.
Discussion
In R v Crow (2021), the identification rested on five one-syllable
words, shouted, lasting no more than two seconds. The evidence was
admitted.
- Which of today’s factors apply here, and how does
the case compare with Lindbergh’s?
- Should a court hear evidence like this, and what
should the jury be told?
Activities
For the practical sessions (book activities 5A–5D):
- 5A: cut a recording of a famous person into clips
of one, two, three syllables and so on in Praat. How many syllables do
listeners need to name the speaker?
- 5B: build a six-voice serial parade from a speech
corpus, play a “criminal” sentence, and run the parade straight
away
- 5C: the same parade with a three-day delay. Do
listeners do worse than in 5B?
- 5D: think of times you misidentified a voice, or
someone misidentified yours. What went wrong?
Summary
- An earwitness heard a voice
without seeing the speaker, usually with no recording
- Witnesses describe voices poorly, and even familiar
voices are misidentified
- A voice parade tests the
witness’s recognition: foils matched to the suspect’s voice, one
speaking style, a warning that the offender may be absent, and a mock
witness test for fairness
- Accuracy drops with delay, short exposure,
disguise, a mismatch in recording quality or speaking style, and an
unfamiliar accent or language. Listeners differ widely
- For unfamiliar voices, confidence is a poor guide
to accuracy
- Courts should weigh earwitness evidence with great
caution
References
- Braun, A. (2016). The speaker identification
ability of blind and sighted listeners: An empirical investigation.
Springer.
- Braun, A., Llamas, C., Watt, D., French, P., &
Robertson, D. (2018). Sub-regional “other-accent” effects on lay
listeners’ speaker identification abilities: A voice line-up study with
speakers and listeners from the North East of England. International
Journal of Speech, Language and the Law, 25(2). https://doi.org/10.1558/ijsll.37340
- Butcher, A. (1996). Getting the voice line-up
right: Analysis of a multiple auditory confrontation. Proceedings of
the 6th Australian International Conference on Speech Science and
Technology, 97–102.
- Cook, S., & Wilding, J. (1997). Earwitness
testimony 2: Voices, faces and context. Applied Cognitive
Psychology, 11, 527–541.
- Foulkes, P., & Barron, A. (2000). Telephone
speaker recognition amongst members of a close social network.
Forensic Linguistics, 7, 180–198.
- Hammersley, R., & Read, J. D. (1985). The
effect of participation in a conversation on recognition and
identification of the speakers’ voices. Law and Human Behavior,
9, 71–81.
- Hollien, H. (2012). On earwitness lineups.
Investigative Sciences Journal, 4(1), 1–17.
References
- Home Office (2003). Advice on the use of voice
identification parades. Home Office Circular 057/2003.
- Kerstholt, J. H., Jansen, E. J. M., van Amelsvoort,
A. G., & Broeders, A. P. A. (2003). Earwitness line-ups: Effects of
speech duration, retention interval and acoustic environment on
identification accuracy. Proceedings of Eurospeech 2003,
709–712. https://doi.org/10.21437/Eurospeech.2003-302
- Künzel, H. J. (1990). Sprechererkennung durch
linguistisch naive Personen. Steiner.
- Ladefoged, P., & Ladefoged, J. (1980). The
ability of listeners to identify voices. UCLA Working Papers in
Phonetics, 49, 43–51.
- Leemann, A., Perkins, R., Sullivan
Buker, G., & Foulkes, P. (2024). An Introduction to Forensic
Phonetics and Forensic Linguistics. Routledge. Chapter
5.
- McGehee, F. (1937). The reliability of the
identification of the human voice. Journal of General
Psychology, 17(2), 249–271. https://doi.org/10.1080/00221309.1937.9917999
- McGehee, F. (1944). An experimental study of voice
recognition. Journal of General Psychology, 31(1), 53–65.
References
- McGorrery, P. G., & McMahon, M. (2017). A fair
“hearing”: Earwitness identifications and voice identification parades.
International Journal of Evidence and Proof, 21(3),
262–286.
- Nolan, F. (1983). The phonetic bases of speaker
recognition. Cambridge University Press.
- Nolan, F. (2003). A recent voice parade.
International Journal of Speech, Language and the Law, 10(2),
277–291. https://doi.org/10.1558/sll.2003.10.2.277
- Nolan, F., McDougall, K., & Hudson, T. (2013).
Effects of the telephone on perceived voice similarity: Implications for
voice line-ups. International Journal of Speech, Language and the
Law, 20(2), 229–246.
- Olson, N., Juslin, P., & Winman, A. (1998).
Realism of confidence in earwitness versus eyewitness identification.
Journal of Experimental Psychology: Applied, 4(2),
101–118.
- Orchard, T. L., & Yarmey, A. D. (1995). The
effects of whispers, voice-sample duration, and voice distinctiveness on
criminal speaker identification. Applied Cognitive Psychology,
9(3), 249–260. https://doi.org/10.1002/acp.2350090306
- Papcun, G., Kreiman, J., & Davis, A. (1989).
Long-term memory for unfamiliar voices. Journal of the Acoustical
Society of America, 85(2), 913–925.
References
- Pautz, N., McDougall, K., Mueller-Johnson, K.,
Nolan, F., Paver, A., & Smith, H. M. J. (2023). Identifying
unfamiliar voices: Examining the system variables of sample duration and
parade size. Quarterly Journal of Experimental Psychology. https://doi.org/10.1177/17470218231155738
- Perfect, T. J., Hunt, L. J., & Harris, C. M.
(2002). Verbal overshadowing in voice recognition. Applied Cognitive
Psychology, 16(8), 973–980. https://doi.org/10.1002/acp.920
- Robson, J. (2017). A fair hearing? The use of voice
identification parades in criminal investigations in England and Wales.
Criminal Law Review, 1, 36–50.
- Smith, H. M. J., Bird, K., Roeser, J., Robson, J.,
Braber, N., Wright, D., & Stacey, P. C. (2020). Voice parade
procedures: Optimising witness performance. Memory, 28(1),
2–17.
- Smith, H. M. J., Roeser, J., Pautz, N., Davis, J.
P., Robson, J., Wright, D., Braber, N., & Stacey, P. C. (2023).
Evaluating earwitness identification procedures: Adapting pre-parade
instructions and parade procedure. Memory, 31(1), 147–161. https://doi.org/10.1080/09658211.2022.2129065
- Solan, L. M., & Tiersma, P. M. (2003). Hearing
voices: Speaker identification in court. Hastings Law Journal,
54(2), 373–435.
- Stevenage, S. V., Clarke, G., & McNeill, A.
(2012). The “other-accent” effect in voice recognition. Journal of
Cognitive Psychology, 24(6), 647–653. https://doi.org/10.1080/20445911.2012.675321
References
- Thompson, C. P. (1987). A language effect in voice
identification. Applied Cognitive Psychology, 1, 121–131.
- Van Lancker, D., & Kreiman, J. (1987).
Unfamiliar voice discrimination and familiar voice recognition are
independent and unordered abilities. Neuropsychologia, 25,
829–834.
- Van Wallendael, L. R., Surace, A., Parsons, D. H.,
& Brown, M. (1994). “Earwitness” voice recognition: Factors
affecting accuracy and impact on jurors. Applied Cognitive
Psychology, 8, 661–677.
- Yarmey, A. D. (2004). Common-sense beliefs,
recognition and the identification of familiar and unfamiliar speakers
from verbal and non-linguistic vocalizations. International Journal
of Speech, Language and the Law, 11(2), 267. https://doi.org/10.1558/sll.2004.11.2.267
- Yarmey, A. D., Yarmey, A. L., Yarmey, M. J., &
Parliament, L. (2001). Commonsense beliefs and the identification of
familiar voices. Applied Cognitive Psychology, 15(3),
283–299.
Cases
- R v Assad Khan (Central Criminal Court, 2002),
described in Nolan (2003)
- R v Burrell (Australia, 2001 and 2009), discussed
in McGorrery & McMahon (2017)
- R v Crow [2021] EWCA Crim 617
- R v Flynn and St John [2008] EWCA Crim 970
- R v Golledge (Australia), discussed in McGorrery
& McMahon (2017)
- R v Hersey [1998] Crim LR 281
- State of New Jersey v. Hauptmann (1935), discussed
in Solan & Tiersma (2003)
Sources of the animal facts
- McComb, K., Moss, C., Sayialel, S., & Baker, L.
(2000). Unusually extensive networks of vocal recognition in African
elephants. Animal Behaviour, 59(6), 1103–1109. https://doi.org/10.1006/anbe.2000.1406
- McComb, K., Reby, D., Baker, L., Moss, C., &
Sayialel, S. (2003). Long-distance communication of acoustic cues to
social identity in African elephants. Animal Behaviour, 65(2),
317–329.
- McComb, K., Shannon, G., Sayialel, K. N., &
Moss, C. (2014). Elephants can determine ethnicity, gender, and age from
acoustic cues in human voices. PNAS, 111(14), 5433–5438. https://doi.org/10.1073/pnas.1321543111
- Pardo, M. A., Fristrup, K., Lolchuragi, D. S.,
Poole, J. H., Granli, P., Moss, C., Douglas-Hamilton, I., &
Wittemyer, G. (2024). African elephants address one another with
individually specific name-like calls. Nature Ecology &
Evolution, 8(7), 1353–1364. https://doi.org/10.1038/s41559-024-02420-w
Slides and code
These slides
mcanzi.de/ws27_fss/05_earwitness_evidence.html
Code and all sessions
github.com/mcanzi/ws27_fss