AI in Voice Recognition and how it works

When artificial intelligence (AI) progressed, it touched almost all aspects of life and environments. Voice recognition is one such technology that is empowered by AI to add ease & accessibility to its users. This new technology has the power to convert voice messages to text.

Let us begin with understanding AI, its integration into Voice Recognition, and how Sunartek’s advanced Voice Biometrics System can prove to be beneficial.

What is Artificial Intelligence?

Artificial intelligence (AI) refers to the replication of human intelligence in machines that are encoded to think like humans and imitate their actions. It can be associated with any machine that displays traits linked with a human mind like learning & problem-solving.

Understanding how AI works in Voice Recognition!

Basically, voice recognition is the process that enables a computer to recognize and respond to spoken words and then convert them in a format that the machine understands and then identify the speaker with its gender, age, emotion, etc. With researchers and scientists worldwide, working on possibilities of blending artificial intelligence with voice recognition for better results, it has indeed proved to be helpful in solving crime cases. For instance, the technology can also be used for the video captured via CCTV cameras that are often not able to record recognizable audio.


Alternatively referred to as speech recognition, voice recognition is a computer software program or hardware device with the ability to decode the human voice. Digital voice recognition technology works by recording a voice sample of a person’s speech and digitizing it to create a unique voiceprint or template. Each spoken word is broken up into discrete segments which comprise several tones. Forensic speaker recognition is the process of determining if a specific individual (suspected speaker) is the source of a questioned voice recording (trace).


Lately, Conversational User Interface (CUI) with speech-based interaction has become the central element of the latest AI development. Here, voice recognition can play an important role.

Deep-learning technologies that are AI-based are boosting the capabilities of bots with respect to traditional natural language processing. They are pushing the notion of ‘conversation-as-a-platform’, which is undoubtedly interrupting the app market.

Significance of Vocal Profile Analysis (VPA) from Sunartek

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

Key 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 model/architecture 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 –

This proficiency of Sunartek’s Voice Biometrics Technology helps to safeguard Law enforcement agencies, corporate offices, and other government institutes to fight crimes. Also, 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).

So, take advantage of Sunartek’s valuable, reliable, and compliant Voice Biometrics Technology and gain real-time insights that harmonize your requirements.