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New report explores the global voice recognition biometrics market that is estimated to grow at a CAGR of 22.15% from 2014 to 2019

It involves verification and identification of physiological traits through fingerprints, face recognition, DNA, palm vein prints, hand geometry, and iris recognition, and of behavioral traits through keystroke patterns and speech pattern/voice recognition.

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ResearchBeam has announced a new Report Package "Global Voice Recognition Biometrics Market Size, Share, Trends, Growth, Analysis, Space, Key Vendors, Demand, Insights, Technology, Report, Forecast 2015-2019"

Biometrics helps identify individuals based on their physical or behavioral features.

Biometrics technologies are considered more reliable compared to physical devices and numeric codes, as biometric traits are not prone to any change. Biometrics performs verification and identification processes to authenticate an individual.

In a verification process, a one-to-one matching method is used to verify the biometrics traits of an individual against a particular template in a database, whereas in an identification process, a one-to-many matching method is used wherein the biometrics traits of an individual is matched against all templates in the database to determine an individuals identity.

In voice biometrics an individual’s voice is digitized, which is matched against a stored voiceprint template. Acoustic features of an individuals voice such as pitch, cadence, and tone are compared to differentiate between different individuals.

Voice verification systems require minimal hardware installation as many PCs already have a microphone.

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Also, unlike other biometric technologies, voice biometrics authenticates individuals in remote locations for various transactions.

Enquire About Report at:
www.researchbeam.com/global-voice-…uire-about-report

Voice recognition systems can work in two different ways:
• Text dependent: Any texts such as name, birth city, and favorite color, or a sequence of numbers is compared with a sample captured during the voice enrolment process
• Text independent: These systems analyze various features of speech such as pitch, cadence, and tone

As pet the analysts forecast the global voice recognition biometrics market to grow at a CAGR of 22.15% during 2014-2019.

Covered in this report
This report covers the present scenario and the growth prospects of the global voice recognition biometrics market for 2015-2019. To calculate the market size, the report considers revenue generated from the sales of voice recognition biometric solutions.

These include voice receiver, voice recorder, modulator, voice biometrics software, and database. The report includes revenue generated from hardware, software, and integrated solutions.

Revenues generated from aftersales services are not included in the market size calculation.

The report provides a detailed analysis of the following:
• End-users: government sector, automotive sector, healthcare sector, and BFSI sector
• Geographies: North America, APAC, Europe, Latin America, and MEA

Key vendors
• AGNITiO
• Nuance Communications
• VoicePass Technology
• VoiceTrust
• VoiceVault

Other prominent vendors
• M2SYS Technology
• OneVault
• SpeechPro
• Uniphore
• ValidSoft
• Voice Security Systems
 
Market risk factors
• High error rates
• For a full, detailed list, view our report

Voice biometric trends in various sectors
• Healthcare sector
• For a full, detailed list, view our report

Key questions answered in this report
• What will the market size be in 2019 and what will the growth rate be?
• What are the key market trends?
• What is driving this market?
• What are the challenges to market growth?
• Who are the key vendors in this market space?
• What are the market opportunities and threats faced by the key vendors?
• What are the strengths and weaknesses of the key vendors?

Ask About Report at:
www.researchbeam.com/global-voice-…uire-about-report


Table of contents:

01. Executive Summary
02. List of Abbreviations
03. Scope of the Report
03.1 Market Overview
04. Market Research Methodology
04.1 Market Research Process
04.2 Research Methodology
05. Introduction
06. Market Description
06.1 Working of Voice Biometrics
06.2 Business Value of Voice Biometrics
06.3 Comparison of Voice Biometrics to Other Biometric Technologies
06.3.1 Feature Comparison
06.3.2 FAR and FRR Comparison
06.4 Advantages and Disadvantages of Voice Biometrics
06.4.1 Advantages
06.4.2 Disadvantages
07. Market Landscape

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