Voice disguise by mimicry: deriving statistical articulometric evidence to evaluate claimed impersonation

@article{Singh2017VoiceDB,
  title={Voice disguise by mimicry: deriving statistical articulometric evidence to evaluate claimed impersonation},
  author={Rita Singh and Abelino Jim{\'e}nez and Anders {\O}land},
  journal={IET Biom.},
  year={2017},
  volume={6},
  pages={282-289}
}
Voice disguise by impersonation is often used in voice-based crimes by perpetrators who try to evade identification while sounding genuine. Voice evidence from these crimes is analysed to both detect impersonation, and match the impersonated voice to the natural voice of the speaker to prove its correct ownership. There are interesting situations, however, where a speaker might be confronted with voice evidence that perceptually sounds like their natural voice but may deny ownership of it… 

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References

SHOWING 1-10 OF 32 REFERENCES

Formant manipulations in voice disguise by mimicry

The study of voice impersonations performed by an expert mimic is studied, focusing specifically on formants and formant-related measurements, to find out the extent and type of formant manipulations that are performed by the expert at the level of individual phonemes.

The imitated voice - a problem for voice line-ups?

This paper investigates whether imitation can pose a problem for speaker discrimination within the line-up. The voice chosen for the experiment was that of a well-known Swedish politician. A

Acoustic analysis of imitated voice produced by a professional impersonator

Comparisons of a voice produced by a professional impersonator imitating a target speaker and imitated voices demonstrate that the impersonator controls vocal tract acoustic characteristics as well as those of the glottal source and pitch frequency to imitate the target voice.

I-vectors meet imitators: on vulnerability of speaker verification systems against voice mimicry

This work studies the vulnerability of two well-known speaker recognition systems, traditional Gaussian mixture model – universal background model (GMM-UBM) and a state-of-the-art i-vector classifier with cosine scoring, which consists of one professional Finnish imitator impersonating five wellknown Finnish public figures.

How flexible is the human voice? - a case study of mimicry

A professional impersonation artist imitated three well-known Swedish public figures and it was found that he was able to mimic global speech rate very closely, but timing at the segmental level showed little or no change in the direction of the targets.

Can a Professional Imitator Fool a GMM-Based Speaker Verification System?

Assessment of empirically how a state-of-the-art text-independent speaker verification system behaves when confronted to imposting attempts from a professional imitator shows that the knowledge of the lexical content of the access significantly helps the imitators, although fortunately not enough to fool the system.

The social life of voices: studying the neural bases for the expression and perception of the self and others during spoken communication

In 2013, London Underground reinstated the actor Oswald Laurence's famous “Mind the gap” announcement at Embankment station, having learned that the widow of the actor had been regularly visiting

Vulnerability of speaker verification systems against voice conversion spoofing attacks: The case of telephone speech

Experiments on a subset of NIST 2006 SRE corpus indicate that the JFA method is most resilient against conversion attacks, but even it experiences more than 5-fold increase in the false acceptance rate.

Coarticulation and the Locus Theory

The effects of coarticulation on formant transitions do not “… necessitate a re‐evaluation of the locus theory…” and it will be shown that in every such case, other cues substitute for the locu cue.

T'ain't What You Say, It's the Way That You Say It—Left Insula and Inferior Frontal Cortex Work in Interaction with Superior Temporal Regions to Control the Performance of Vocal Impersonations

It is revealed that deliberate modulation of vocal identity recruits the left anterior insula and inferior frontal gyrus, supporting the planning of novel articulations, and bilateral sites in posterior superior temporal/inferior parietal cortex and a region in right middle/anterior STS showed greater responses.