Speaker Identification

Ever heard of a multi-disciplinary technology which uses the vocal characteristics of speakers to deduce information about their identities? Well, speaker identification is all about the mentioned. Initial speaker identification practices relied on a human expert investigating representations of the speech of an individual and determining on the person’s identity by the characteristics in this depiction with others. In the current decades, entirely automated speaker recognition systems have been created and are in use.

What exactly is speaker identification?

Speaker identification is the process of determining from which of the registered speakers a given utterance is obtained. The job of speaker identification is to establish the identity of a speaker by machine. To identify voice, the voices must be familiar for both humans as well as machines.

How speaker identification biometrics work?

Speaker identification is based on the sound of the voice. Speaker identification has two forms:

Text dependent: with the subject uttering a particular password or pass catchphrase.
Text independent: with the subject speaking in an unrestricted manner.

Like all biometric methods, speaker identification combines both physical and behavioral components. It makes usage of the acoustic characteristics of a person’s speech, influenced by biological attributes such as the formation of the vocal tract and the larynx. Adding to these physical qualities, each speaker has established additional characteristics, comprising accent, rhythm, intonation, range of vocabulary, and so on.

Speaker identification systems sample these characteristics and build a distinctive model for each ‘known’ speaker. Speakers are recognized based on the differences between their speech patterns and a “universal background model” of general speakers of the same language.

Sunartek’s Vocal Profile Analysis (VPA)

Be it the analysis of massive amounts of audio recordings for investigation purposes or just a few audio tracks for forensic experts, the Vocal Profile Analysis from Sunartek can handle almost any speech-processing challenge. This platform-based on speech analytics system is primarily intended to be used by law enforcement, public safety, investigation and forensic experts. The system uses Conversational Biometrics Technology to instantly search and accurately identify the language, speakers and keywords within large amounts of audio recordings making it ideal for intelligence and law enforcement agencies. The user can add as many languages or speakers for identification into the system by educating or training Sunartek’s VPA using available voice samples. What’s more? VPA possesses the ability to evaluate audio files for speech/non-speech detections as well.

Valuable Advantages & Beneficial Features:

• Speaker Identification in signal through analysis from a known database of speaker voice samples.
• Keyword spotting
• Gender detection
• Emotion detection capability
• Age detection
• Constructed on a client-server mode/architecture allows use of standard hardware.
• Multi-parallel processing supported
• Multiple language recognition from a known database of languages.
• Implementation of standard software to be able to participate in additional development.
• Scalability and compatible interfaces for the addition of classifiers.
• Communication via TCP/IP Features
• Speech Detection Module

Moreover, the VPA tool can be used as a standalone method of authentication or can be integrated with other interception solutions that include information an individual is aware of (for example, a password) or information in relation to the individual’s call (for instance, ANI verification or geo-location). This proficiency of Sunartek’s Conversational Speech Biometrics Technology helps to safeguard Law enforcement agencies, corporate offices, and other government institutes to fight crimes.

So, get ready to take advantage of real-time insights that complement your requirements in the most effective way possible, primarily via Sunartek’s valuable, reliable and compliant Conversational Biometrics Technology.