Voice / Speaker identification for PC and Web solutions

VeriSpeak voice identification technology is designed for biometric system developers and integrators. The text-dependent speaker recognition algorithm assures system security by checking both voice and phrase authenticity. Voiceprint templates can be matched in 1-to-1 (verification) and 1-to-many (identification) modes.
Available as a software development kit that enables the development of stand-alone and Web-based speaker recognition applications on Microsoft Windows, Linux, Mac OS X, iOS and Android platforms.

Text-dependent algorithm prevents unauthorized access with a covertly-recorded user voice.
Two-factor authentication by checking voice biometrics and pass-phrase authenticity.
Regular microphones and smartphones are suitable for recording user voices.
Available as a multiplatform SDK that supports multiple programming languages.
Reasonable prices, flexible licensing and free customer support.

SDK contents

VeriSpeak SDK is based on VeriSpeak voice recognition technology and is designed for biometric systems developers and integrators. The SDK allows rapid development of biometric applications using functions from the VeriSpeak algorithm. VeriSpeak can be easily integrated into the customer's security system. The integrator has complete control over SDK data input and output.

VeriSpeak is available as the following SDKs:

VeriSpeak Standard SDK is designed for PC-based, embedded or mobile biometric application development. It includes Voice Matcher and Extractor component licenses, programming samples and tutorials and software documentation. The SDK enables the development of biometric applications for Microsoft Windows, Linux, Mac OS X and Android operating systems.
VeriSpeak Extended SDK is designed for biometric Web-based and network application development. It includes all features and components of the Standard SDK with the addition of Voice Client component licenses for PCs and Android devices, sample client applications, tutorials and a ready-to-use matching server component.

The table below compares VeriSpeak (Current Version) Standard SDK and VeriSpeak (Current Version) Extended SDK. See the licensing model for more information on specific license types.

Component licenses included with a specific SDK
Component types	VeriSpeak (Current Version) Standard SDK	VeriSpeak (Current Version) Extended SDK
• Voice Matcher	1 single computer license	1 single computer license
• Embedded Voice Matcher for Android	1 single computer license	1 single computer license
• Embedded Voice Matcher for iOS	1 single computer license	1 single computer license
• Embedded Voice Matcher for ARM Linux	1 single computer license	1 single computer license
• Voice Client		3 single computer licenses
• Embedded Voice Client for Android		3 single computer licenses
• Embedded Voice Client for iOS		3 single computer licenses
• Embedded Voice Client for ARM Linux		3 single computer licenses
• Voice Extractor	1 single computer license	1 single computer license
• Embedded Voice Extractor for Android	1 single computer license	1 single computer license
• Embedded Voice Extractor for iOS	1 single computer license	1 single computer license
• Embedded Voice Extractor for ARM Linux	1 single computer license	1 single computer license
• Matching Server		+

VeriSpeak SDK includes programming samples and tutorials that show how to use the components of the SDK to perform voice template extraction or matching against other templates. The samples and tutorials are available for these programming languages and platforms:

Programming samples
	Windows 32 & 64 bit	Linux 32 & 64 bit	Mac OS X	Android	iOS
• C/C++	+	+	+
• Objective-C					+
• C#	+
• Visual Basic .NET	+
• Sun Java 2	+	+	+	+
Programming tutorials
• C	+	+	+
• C#	+
• Visual Basic .NET	+
• Sun Java 2	+	+	+	+

Tech Specs

A minimum 11025 Hz sampling rate, with at least 16-bit depth, should be used during voice recording.

Voice samples of at least 2 seconds in length are recommended to assure recognition quality. Longer voice samples will further improve recognition.

See also the list of basic recommendations for speaker recognition.

All voice templates should be loaded into RAM before identification, thus the maximum voice template database size is limited by the amount of available RAM.

The voiceprint template size has linear dependence on the voice sample length. For example, when using voice samples that are 2 times shorter, the template size values will be 2 times smaller.

VeriSpeak 9.0 text-dependent engine can perform template matching in two modes:

Fixed phrase – each subject in the database has recorded the same phrase. This mode provides faster matching, but lower reliability.
Unique phrase – each subject in the database has recorded a unique phrase. This mode provides higher reliability, but slower matching.

VeriSpeak biometric template extraction and matching algorithm is designed to run on multi-core processors allowing to reach maximum possible performance on the used hardware.

VeriSpeak (Current Version) text-dependent voiceprint engine specifications
	Android-based platform		PC-based platform
Template extraction components	Embedded Voice Extractor	Embedded Voice Client	Voice Extractor	Voice Client
Template extraction time (seconds)	1.34 ⁽¹⁾	1.20 ⁽¹⁾	1.34 ⁽²⁾	0.60 ⁽²⁾
Template matching components	Embedded Voice Matcher		Voice Matcher
Template matching speed fixed phrase mode (voiceprints per second)	100 ⁽¹⁾		8,000 ⁽³⁾
Template matching speed unique phrase mode (voiceprints per second)	20 ⁽¹⁾		1,700 ⁽³⁾
Single voiceprint record size in a template, when 5 second long voice samples used (bytes)	3,500 - 4,500

Notes:
(1) Requires to be run on Android devices based on at least Snapdragon S4 system-on-chip with Krait 300 processor (4 cores, 1.51 GHz).
(2) Requires to be run on PC or laptop with at least Intel Core 2 Q9400 quad-core processor (2.67 GHz) to reach the specified performance.
(3) Requires to be run on PC or laptop with at least Intel Core i7-4771 quad-core processor (3.5 GHz) to reach the specified performance.

Price range

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