Voice Recognition Technology

Voice Recognition Technology

Voice recognition technology is used to detect a voice sample and then authenticate it by associating the sample with a voiceprint of the speaker, which is already stored in the app or software using the voice recognition tech.

How Does Voice Recognition Technology Work?

A voice sample of a person is recorded in the software and this sample is digitized and converted into a unique voiceprint or a template. This digital voiceprint consists of small units of each of the spoken words and every word segment of the voice sample along with all the tone variations and other parameters are recorded in the unique voice template associated with that particular voice. Based on this recording, the software is able to perform voice recognition.

Along with tone and tenor, the two main components of any voice sample include the physiological component, which is determined by the shape of the vocal tract of the person. Each individual has a unique shape of the larynx, nose, and mouth. The voice sample is recorded in a waveform and this info is then used to recreate the shape of the vocal tract of that particular person using the biometric voice recognition tech. As no two persons can have the same vocal tract shape, just like fingerprints, a unique voice imprint for every individual can be created.

Another component that is used in recording the voice sample is the behavioral aspect of the voice and is based on the makeup of the jaw, tongue, and the larynx of the person. Based on the variation caused in the movement of these body parts, the unique voice imprint includes the pace of the speech, mannerism, and pronunciation associated with that particular voice sample, and this is also used to identify the voice detected by the software.

Types of Voice Recognition Systems

In the first type of voice recognition system, a text dependent system is used for the purpose of identifying a particular voice sample. This text is known as a passphrase and it can be anything, like the name of a person, their employee code, or their favorite color. This passphrase is already stored in the voice recognition system and when this passphrase is detected by the system, it is matched with the voice sample database to produce a match.

The second type of voice recognition system is text-independent, where a passphrase is not used for identifying a voice sample. Such systems need voice inputs from the speakers and the systems authenticate a voice sample based on the unique voice characteristics like tone, pitch, and cadence among others. In addition, some voice recognition systems use both of the systems in a combination.

Errors Encountered in Voice Recognition Systems

Errors may be encountered in the voice recognition systems, caused by variations in the physical and emotional states of an individual. For example, a voice recognition system may fail to authenticate the voice sample of a person who may sound different if suffering from a cold. Even emotional states like being excited, depressed, or slurred speech caused by medication may result in a mismatch. In addition, background noise and ambient temperature may also contribute to errors.

Popular Applications of Voice Recognition Technology

Virtual Assistants

Such systems use voice recognition software to identify a voice, and based on the inputs detected and the kind of info or service asked for by the user, a proper response is transmitted by the virtual assistant.

Medical Transcription

A promising application of voice recognition technology is in medical transcription, where doctors need not write their prescriptions, everything that the doctors speak is transcribed digitally, and the voice recognition software also aids in structuring and collating medical records of a patient.

Voice Biometry

This type of system is used to create a digital profile of a voice sample by analyses of specific voice characteristics like pitch, tone, frequency, and others. Voice biometric-based security systems can be used to authenticate the identity of an individual for access to a secure building.

Speech to Text

Such systems based on voice/speech recognition are used to transcribe minutes of meetings, and play a significant role in the automation of office management systems. This application can also be used in the content creation process, significantly improving the productivity and the writing quality of writers, with the potential to enable writers to produce 3000-4000 words of content in half an hour. Speech to text-based systems also have applications in translation services and video subtitling.

Text Recognition Technology

Text Recognition Technology

While optical character recognition (OCR) based text recognition systems are already mainstream, Axonator takes the text recognition technology further by introducing AI-based text recognition systems.

In OCR based text recognition systems, the coordinates of the text are entered from the physical document and then converted into a digital text format, like a PDF file. However, the quality and accuracy of the OCR based text recognition systems depend on the quality of the original document, and if some text is not legible, errors may creep in the digital output. Such problems can be solved and the text recognition systems are further refined by incorporating AI in the text recognition software.

AI-Based Text Recognition

AI-Based Text Recognition

AI-based text recognition software is revolutionizing the data capturing and management processes. They are playing a key role in error detection in physical documents and in automating tedious tasks like data collection. Such type of AI-based text recognition systems are significantly improving the efficiency and cost-effectiveness of companies.

Axonator Apps Using Voice and Text Recognition Technologies

The Axonator micro apps platform is playing a vital role in the digital transformation of companies by incorporating the use of voice and text recognition technologies in their various apps and adding more value to their client offerings. Some of the Axonator micro apps using voice and text recognition technologies are:

Contactless Attendance App

The contactless attendance systems don’t require employees to touch any surface or punch any button for recording their attendance. Axonator contactless attendance app works on cutting edge technologies involving facial recognition software which is used by the app to authenticate the identity of an employee and mark their attendance.

In addition, the Axonator attendance app also utilizes voice recognition technology, where the app is activated when an employee uses a passphrase for authentication, and their attendance is automatically marked by the software.

Future Applications Being Considered By Axonator

  • Dynamic real-time translation services
  • Medical transcription
  • Speech to text services

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