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Home > AI for Banking > Authentication via Voice Biometrics

Authentication via Voice Biometrics

Verify Customers’ Identity by having them speaking a few words instead of answering questions for a frictionless authentication experience. Reduce call handle times, call center costs, and fraud attempts

Business value: Improve security and minimize breaches due to compromised passwords and phishing. Reduce threats by identifying known fraudsters. Gain customer trust and improve customer experience

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ROI Examples
Data Needed

1. Get Inspired

Understand the Use-case under 5 minutes

2. Know More

Get to know more Business and Technical details about the use-case (15-30 minutes)

Deeper Intro

More detailed introduction covering business and technical aspects

Business Focused

Case studies, Organizational Aspects, Return on Investment examples

Tech focused

More details on the technical aspects of the use-case

3. Do

Technical resources that will help you implement the use-case (notebooks, tutorials..)

Data Sets

Data Sets you can use to build Demos, POCs, or test Algorithms

Common Voice Mozilla

an open source, multi-language dataset of voices that anyone can use to train speech-enabled applications. The dataset currently consists of 11,192 validated hours in 76 languages, but we’re always adding more voices and languages

Google AudioSet

An expanding ontology of 635 audio event classes and a collection of 2,084,320 human-labeled 10-second sound clips drawn from YouTube videos

TIMIT (Acoustic-Phonetic Continuous Speech Corpus)

Recordings of 630 speakers of 8 dialects of American English each reading 10 phonetically-rich sentences. It also comes with the word and phone-level transcriptions of the speech


Off-the-Shelf Products using AI for Voice Authentication

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