Voice-recognition technology interprets voice patterns to recognize individuals based on the tone of voice. These systems use a spectrograph to convert collected voice samples into a visual representation of a sound. This spectrograph is then used for verification or identification purposes.
Using more than 100 physical and behavioral factors (including pronunciation, intonation, speed, accent, vocal tract, and mouth and nasal passages), voice-recognition technologies can create a unique voice signature of an individual.
Voice recognition is now being used by many banks as a biometric authentication method, especially when providing banking services to customers over the phone.
Voice recognition is expected to grow the most among biometric technologies, from $10B to $27B in 2027 (+63%)
It provides technology that is easy to understand
Voice recognition is widely adopted because people are familiar with it, and it’s easy to use
Setting up a voice-based ID system is cost-effective because it requires simple voice-capture hardware, such as a microphone, and associated matching technology
It does not interfere with personal space
Voice recognition doesn't raise concerns about personal hygiene or cultural appropriation, since the voice- capture process requires no physical contact between individuals and a device, and no physical intervention by operators. Voice can also be used to remotely authenticate users. For example, it can be used in call centers to identify a customer
What problems does voice recognition solve?