Revolution in Accuracy and Speedof Voice Biometrics

Seminář AFCEAPraha, 17. 1. 2019

About Phonexia

Turning voice to knowledge!

19+ years inspeech processing

12+ years of commercial

activities

4

Worldwideactivity

Private companyfully owned

by 5 founders

50+ people

5

60+

And many more…

Our Clients and Partners

Strategic research partner

Brno University of Technology, Faculty of Information Technology, Speech@FIT research group

Success in U.S. NIST evaluation, teamed together with Brno University of Technology

A complete set of state-of-the-art speech technologies in a single software platform

9

Phonexia Speech

Platform

Speech Transcription

Speaker Identification

Language Identification

Diarization

Age Estimation

Speech Quality Estimation

Voice Activity Detection

Keyword Spotting

Denoiser

Gender Identification

PHONEXIASPEECH PLATFORMFOR GOVERNMENT

man

English

20-30yearsold

extremism

jewish

nine elevenkilledwar in afghanistan

Keyword Spotting

Speech Transcription

islam

Speaker Identification

Speaker Score

95,7%Mohammed

Emwazi

GovernmentUse Cases

Different Users, Different Needs

StrategicMI/CI

SIGINTCOMINT

Massive interception

National security

TacticalMI/CI

TacticalSIGINT

Localinterception

Immediate local threats

Archive SearchLEA/Police

Organizedcrime

Anti-narcotics

Investigation

ForensicForensic Labs

Courtcases

Quantifiedevidences

Detailed reports

INPUT AUDIO STREAM

14

VAD VoiceActivity Detection

SQE SpeechQuality Estimator

GID GenderIdentification

LID LanguageIdentification

SID SpeakerIdentification

SPEAKERSOF MY

INTEREST

Example: Strategic Speaker Spotting

1 000 000 calls per day

100 calls per day

CaseStudies

16

Speaker Identification for OSINTSpeaker Identification - Use Case Demo

17

Explore relations among people using several phones

Additional data for investigation

Link Analysis

18

Speaker Clustering

Biometrics

How?

Revolution in Voice Biometrics in 2018

Voice

iVectorPHONEXIA

DEEP EMBEDDINGS™23

PAST NOW

SPEED (FTRT) 5

EER ON NIST16 DATA SET 13%

2.07RAM CONSUMPTION (GB)

25

7%

0.29

5 times fasterthan iVector

double accuracythan iVector

7 times lowerRAM consumption

DeepEmbeddingsTMiVector

24

Hardware SavingsPAST NOW

25

From 5 to 1 server.

Measurements

26

NOW

PAST

NET SPEECH (s)

EQUA

L ER

ROR

RATE

(%)

Team EfficiencyPAST NOW

27

• Less manual job• More time for other

analytics tasks.

Higher Percentage of Resolved CasesPAST NOW

28

Revealing most of the network.

Key Takeaways

Complete portfolio of Speech Technologiesin a single software platform.

Rapid increase of accuracy and speedof the new generation of Speaker Identification technology.

Unlock new possibilitiesfor security and defense use cases.

Thank youfor your attention

Tomáš BiaHead of Product

T +420 605 279 125 E tomas.bia@phonexia.com

phonexia.com