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Correcting some misconceptions about Voice Biometrics for Forensics - Sestek - ContactCenterWorld.com Blog

Correcting some misconceptions about Voice Biometrics for Forensics

As I have explained in the previous post, Voice Biometrics is more reliable than fingerprint in some aspects. Analyzing voice based evidence is becoming a popular tool for law enforcement and criminal identification. However, there are some misconceptions about terminology and also the limits of what is currently possible with Voice Biometrics technologies. Let me explain some of the terminology to prevent misconceptions.

Likelihood Ratio (LR): LR is calculated by comparing two audio files one-to-one. Based on this comparison, we generate statistical scores and probability distribution graphics as evidences of similarity or differences.

Speaker Identification: Speaker Identification constitutes an effective solution for forensic voice analysis by confirming/denying the identity of individuals based on audio files that are used during investigations.

Voice Biometrics technologies cannot identify the voice of an individual from an unlimited set of voice samples. The model voice is usually compared against a pre-defined set of voices that are already identified and/or labeled.

This set of voices (reference population) is used for normalization of the scores. 20 is the minimum size of the population sample for normalization. Increasing the size beyond 50 does not improve the normalization performance. Therefore, the optimum size for populations is between 20 and 50.

To have reliable scores, the model voice and pre-defined set of voices should match in terms of gender, language and input source characteristics. For example, it does not make sense to compare a female voice with a set of male voices.

Let me know if you have questions. I will be glad to answer them and/or think along with you.

Source: http://www.sestek.com/2016/11/correcting-misconceptions-voice-biometrics-forensics/

Publish Date: November 9, 2016 5:00 AM


2020 Buyers Guide Speech Technology

 
1.) 
Agara

Agara is an autonomous virtual voice agent powered by Real-time Voice AI. It is designed to have intelligent conversations with your customers, vendors, and partners without any assistance from human agents. It can handle a wide variety of calls including inbound customer care calls, outbound lead generation calls, appointment scheduling calls, and overdue payment recovery calls.

Agara is available for several industries including banking, insurance, retail, e-commerce, airlines, and telecom. Powered by advanced Real-time Voice AI that understands speech in real-time, automatically determines the right process to follow and guides the caller along in the process with natural conversation.
PH: +1 (512) 333 4634

2.) 
Call Center Studio

Call Center Studio
Call Center Studio is the world’s first call center built on Google and is one of the most secure and stable systems with some of the industry’s best reporting. It is one of the most full-featured enterprise grade systems (with the most calling features, one of the best call distribution, outbound dialing features and integrations—including IVR, AI Speech Recognition, blended inbound/outbound calling and includes Google’s new Dialogflow and Speech API. Call Center Studio is the absolute easiest to use (with a 10 minute setup), and is the price performance leader with lower equipment cost and less setup time.
PH: +1 512-872-7565

3.) 
Daisee

Daisee
Daisee builds technology that empowers people to solve problems by making interactions simple and smart so they can have a more significant impact, be more productive and be better at what they do. We believe incremental improvements carry huge potency and provide exponentially greater change for the better.

Genesys customers can now automate risk and quality management using Daisee’s speech and sentiment analytics and remediation workflow software. Daisee helps improve customer experience, ensure regulatory compliance, identify missed commercial opportunities & training requirements as well as provide valuable insights back to the business directly from the frontline – the true voice-of-...
(read more)
PH: +61404697151

4.) 
Eckoh

EckohASSIST
Advanced speech recognition and natural language expertise that routes callers by simply asking ‘how can I help you?’. It allows customers to use their own words to ask for what they want and steers them to the right place.

Menus are eliminated altogether and contact centres can use a single inbound telephone number.
PH: 01442 458300

5.) 
MattsenKumar LLC

SmartSpeech
SmartSpeech – The Best In Class Speech Analytics Software

An all-inclusive speech analytics application that enables you to visualize your audio using state-of-the-art speech recognition, transcription, and text analytics technologies.
PH: +91 99026 10044

6.) 
Voci Technologies Incorporated

V-Blaze Speech to Text
Our GPU-accelerated, AI-based technology enables you to deliver greater insights to the contact center by transcribing audio into analyzable text.

- Transcribe large volumes of recorded audio quickly
- Integrate transcripts with your analytics or business intelligence platform
- Reduce your hardware footprint and minimize total cost of ownership
PH: 412-621-9310

7.) 
Voxjar

Voxjar
Voxjar is your one-stop-shop for driving better phone calls with your customers. We're a modern Conversation Analytics and Call Coaching Platform.

- Custom Charts and Dashboards give you the freedom to analyze calls from the highest level down to the details of each conversation.

- AI-Powered Speech Analytics transcribes, searches, and analyzes your reps' phone conversations, at scale.

- Quality Assurance and Call Coaching tools let you evaluate and improve agent performance with a human touch.

- Long term recording storage for historical analysis


All of these together provide the holistic, easy-to-use software that you need to manage a modern call team and create better con...
(read more)
 



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