7 $# .-.24&.,%) 8$29%,',:( · PROBL EM 3850 !9. 7Q&J P&'( ,V(>-( U$' &-@>"@ !1EJ@ @>"J E(8QQ'$ J" DA (< >- FH>@#> "W QD$ -&#> "@! An ex pe rt in lang ua ge

!ro$uc's) +vervie/

Currently deployed field proven Biometric Speaker Identification and Verification Technology.

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! Use of voice evidence in court.

! Identification of unknown intercepted voices

! Intelligence and crime prevention using phone conversations monitoring.

! Protection against Identity fraud

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Extraction of unique characteristics of vocal tract, from voice sound waves.

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! What the person is saying. The content of the speech.

! Can be automatically obtained using classical speech recognition technologies.

! 3&DJL>$'JE(EJC&'A

! How do you say itA Your accent, your emotions, your culture, your country DlanguageE, !"#$%&'!#(!)

! This is the level used by impersonators, and the level the brain mainly uses to identifya person Dand obtain additional informationE

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5M2(3,!4256,1(<8N26APhysical information embedded into voice waves coming from your vocal tract. Not modified by your emotional state, the language you use, etc..

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! 5oice mo$el 8aka as ;voice <rin'>?

! Using a minimum of 40 seconds of net speech, a voice model is created for each individual.

! Contains information related to vocal tract characteristics. Unique and independent of language and text.

! Scoring or ;voice ma'cB>

! Using a minimum of M seconds of net speech, we compare the utterance with the model *'+$&,!*-'$*$./%&0#12$3"#$"-4"#0$!"#$/%&0#$!"#$5&0#$60&,*,7#$-!$-/$!"*!$!"#$8'9'&:'$;&-%#$belongs to the same person.

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! Depending on the application, different techniques are used to .'&05*7-<#1 the scoresDset a scale common to all individuals and channelsE and set thresholds to make adecision.


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Driver& Increasing internationa0 terroris1 and cri1e using di44erent t56es o4 6hones8 the Internet8 and in 1u0ti60e 0anguages9

Voice is the only biometric characteristic obtained remotely

It is already available in abundance. Includes valuable information besides biometric information

Easy to integrate in existing infrastructure: Telephone networks, VoIP, etc..

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Agni'io)s CniDue A<<roacB


• Voice match is done independently of what the person is saying

Text Independent

• Voice print can be obtained in one language, and matched with voice sample in another language

Cross Language capabilities

• Microphone, land line telephone, cellular phones, VoIP,..

Works with any voice channel

• Forensic Labs, Law enforcement, Intelligence.

Proven in the most demanding environments.

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Present Voice Evidence in court

Identification of unknown voice during

police investigation

Speaker spotting to filter mass phone

interceptions.

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Forensic Labs relying only on Phonetic and Linguistic techniques have limitations:

Impossible to handle unknown languages, difficult to handle great number of calls,

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Intercepted phone conversations are used as evidence in court. Experts

are required to perform Speaker Verification

MARKET NEED

SOLUTION

Tool for biometric voice verification designed for Forensic Experts. It

provides the precision and reliability required in court hearings

PROBLEM

3850!9

7Q&JP&'(,V(>-(U$'&-@>"@

!1EJ@@>"JE(8QQ'$J"DA(<>-FH>@#>"WQD$-&#>"@! An expert in languages and phonetics compares both voice samples

(Suspect and unknown)

!7&?>JH#$?J#>"! Using computer voice analysis programs, sonograms, formants and other

technical information are compared.

!0$>"&(3>$?&#'>"@! Computer generates voice print, unique to speaker´s physical vocal tract.

! Computer compares suspect and unknown voice samples and provides a matching score.


3850!9

‘A$$e$ 5alue) of 5oice Giome'rics in Horensics

! 7Q&JP&'(,V(L&'>G>"J#>$-(H@>-F(QDC@>"JE("DJ'J"#&'>@#>"@($G(#D&(L$"JE(#'J"#X(>-@#&J.($G(#D&(OJC(#D&(Q&'@$-(@Q&JP@(! >&%*7$!0*%!$.7#*;#/1$8'-?8#$@#*!80#/$-'$;&-%#$/&8'+$:*;#/A

! 0$>"&(3>$?&#'>"@(J..@(-&O(J-.('&E&LJ-#(>-G$'?J#>$-(#$("EJ@@>"JE(#&"D->YH&@T

! Depending on the case DLanguage, unique phonetic features, ..E it is more or less relevant.


3850!9


3850!9A(R>$-&&'>-F(R'$.H"#(G$'(U$'&-@>"(<J%$'J#$'>&@

! 2-#'C(R'$.H"#

! Widely used in Europe, Latin America and Asia

! First working system in Spanish Police DIdentivox 2000E

! Expert reports presented in many courts globally

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!"#$%&'#('')#*+,)-#.$'#/01234#%*.56%.,7#+8+.'6#999,)#65:'#.$%)#;<<#7%+'+=#ranging 4ro1 : to ;<== individua0 voice co16arisons999 Looking @ack 4ro1 toda5 I 1ust sa5 that without the he06 o4 the s5ste1 I wou0d have had to dec0ine 1ost o4 the cases8 es6ecia005 when the5 invo0ved 0anguages unknown to 1e 0ike 0>(%)'+'#5:#1*:?,+$99@

2008

3850!9


BATVOX reduces learning curve, guiding the new user with a wizard, qualifying results and helping

interpretation of data

3850!9


"BATVOW provides the expert Likelihood Rate DLRE results

"BC$-/$!"#$D/!*!#ofthe*0!E$metric to measure evidence strength in court hearings

3850!9

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! 0>.&$(Q$@#&.($-(N$H5H%&("'&J#&.(J(#H'?$>E(>-(4JEJC@>J-(Q$E>#>"@


%&'&()*&+,-+"*,./0012"*/+,-3!+#(,1)!4,-567879:),20/41#"),&+4,,,,,,,,,,support to verify the voice identity, and present evidence in court

3850!9

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! 8E%J->J-(]J-F(J"#>-F(>-(]&'?J-C("$??>##&.(>.&-#>#C(G'JH.(#D'$HFD(#D&(#&E&QD$-&T

! Affecting more than Z00 German elder citi\ens

! ]&'?J-(Q$E>"&('&"$'.&.(?$'&(#DJ-(:X***(QD$-&("$-L&'@J#>$-@(%$#D(J?$-F(#D&(FJ-F(?&?%&'@(#D&?@&EL&@X(J-.($G(FJ-F(?&?%&'@(@O>-.E>-F(#D&>'(L>"#>?@T

! Conversations were in German, English, Albanian and Sinto. Some of the gang members spoke three different languages in various taped conversations.


German Forensic Experts verified the identity of the gang members *+;/';!4,*+,"<!,#0*=!,1)*+3,-567879:),20/41#")>,?*"<,@,/A,"<!,,,,,,,,,,,,

defendants pleading guilty after hearing the Forensic Audio evidence.

3850!9

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1:1 Forensic evidence verifications

1:N for Law enforcement identifications

87,7

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Police have a large amount of voices captured but identification was not possible.

Traditional methods not suitable for large voice database searches. Sometimes voice is the only available personal characteristic

of a criminal

Police obtains voice from unknown person involved in crime. (Bomb threat, lawful phone interception, terrorist

video). Identification is needed

MARKET NEED

SOLUTION

Tool for unknown speaker identification using voice

biometrics. Automatic biometric search easy to perform with

basic training

PROBLEM

87,7

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B Deployed in 3 customers, 4 more pending this year.

B In the following years 20-40 countries will deploy ASIS

B $130M/yr in US onlyB Deployed in 25 countries

Fingerprint databases DNA databases

ASIS

Voice Databases

B $500M/yr marketB 25% Annual GrowthB Almost every country

AFIS CODIS

! AGNITIO follows the success of other proven biometric technologies

87,7

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87,7

DB Manager

GUIBrowser 1

Engine 1

DB

Task Manager

Application Server

Presentation Tier

GUIBrowser 2

GUIBrowser N

Business Logic

Logic Tier

Data Tier

Engine Manager

Engine 2

Engine N

Queue

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Browser 1

Browser 2

Browser 3

<HTTP> <Ethernet>

<HTTP>

<Ethernet><Ethernet>

<HTTP>

<Ethernet>

Engine 1

Engine 2

Engine NDB Server

<HTTP>Internet

Application Server Task Manager Engine Manager

ASIS MULTICORE

Active MQ

<Ethernet>

<Ethernet>

<Ethernet>


• From 1,000 up to 100,000 voice models per minute.

SPEED

• From ^0,000 up to 200,000 voices stored DBithout 6er4or1ance degradationE• From ^ up to 1,000 simultaneous connections.

Maximum capacity

• Optimi\ed for HP and Linux Suse• Engines: Proliant DL320 with Weon Quad cores• Task Manager: Integrity 3a00 with Itanium Dual core.

Hardware/OS

87,7

87,7(R&'G$'?J-"&A(141


AGNITIO s forensic bench test Database.

How to measure performance on 1:N systemsA

CMC: Cumulative Matching Characteristic

Probability of your target being among the first N candidates

87,7

Ius'omers are S'ar'ing 'o Tes' … an$ 'o Cse i'…


A Latin A1erican securit5 organiDation9 Ehe 0argest :Fn voice test 6er4or1ed unti0 now9 A01ost :G8=== voices and 1ore than :9HM tria0s

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3850!9 87,7

R'&">@>$- Maximum accuracy in a 1:1 verification

Obtain a list of candidate. The verification can then be refined in a forensic laboratory

2''$'@ Minimi\e false positives

Minimi\e false negatives

=@J%>E>#C( For experts with an important background in forensics

For operatives with no background in audio and biometrics

7Q&&.( Not critical Critical: thousands of identifications per minute

87,7

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! <JH-"D&.(G'$?(J-C(JH#D$'>[&.(#&'?>-JEX(J-.(H@&'

! Minimum M seconds of speech

! Search can be guided Dover a subsetE or general

! 6&@HE#@

! Best N candidates, with scoring and a colour code, are shown to the user

! If user is authori\ed, original voice can be heard

! There is a link to the Criminal Information Database , connected to other biometric systems


87,7

:T(,;52<<,]2;12A(7Q&JP&'(7Q$##>-F


Traditional method are not useful for this kind of real time massive task. Speed,

performance and fully automatic implementation is required

Intelligence organizations do passive interceptions that

need to be filtered and classified. A key advantage

is to filter by key target speakers

MARKET NEED

SOLUTION

Tool for biometric speaker spotting. To be integrated into passive

interception systems. Detects when specific target speakers are

involved in a conversation

PROBLEM

37:

37:A(B&C(G>E#&'>-F(#$$E(G$'(,-#&EE>F&-"&(8F&-">&@

! 7R28B26(V25215,!;(,;(4877(52<2RM!;2(,;52612R5,!;7! Spot a particular speaker in a continuous flow of telephone conversations

! F&567#5#'!$DG#H:&0+E$/6&!!-'4$*'+$&!"#0$DI0!-@-%-*7$J'!#77-4#'%#E$@-7!#0-'4$/H/!#5/A


BS3 drastically reduces time spent scanning voice in mass voice interception systems.

37:


37:


BATVOW

ASIS BS3

•AFIS•CODIS•IBIS•Central Criminal Data

Other Identification Databases

Selected Audios

Data crunching

Key word spotting

BS3

37:


3850!9 87,7 37:

R'&">@>$- Maximum accuracy in a 1:1 verification

Obtain a list of candidate. The verification can then be refined in a forensic laboratory

Obtain a list of candidates calls where the target is speaking.

2''$'@ Minimi\e false positives

Minimi\e false negatives

Minimi\e falsenegatives

=@J%>E>#C( For experts with an important background in forensics

For operatives with no background in audio and biometrics

For Intelligence Agencies doing criminal prevention.

7Q&&.( Not critical Critical: thousands of identifications per minute

Critical: Several calls per minute.

5DJ-P@(G$'(C$H'(J##&-#>$-T

U$'(GH'#D&'(>-G$'?J#>$-X(QE&J@&("$-#J"#A

Emilio Martdne\ CEO

emartine\eagnitio.es

Emmanuel Derome VP HLS Business Development

ederomeeagnitio.es

Christian Moreno HLS Business Development

chmorenoeagnitio.es

Beatri\ Gon\fle\ Siggen\a HLS Business Development

bgon\ale\eagnitio.es

!"#$%&'()**+(

Documents

7 $# .-.24&.,%) 8$29%,',:( · PROBL EM 3850 !9. 7Q&J P&'( ,V(>-( U$' &-@>"@ !1EJ@ @>"J E(8QQ'$ J" DA (< >- FH>@#> "W QD$ -&#> "@! An ex pe rt in lang ua ge