Major Problems In Voice Recognition:
Many challenges affect its accuracy. These include poor-quality voice samples; the variability in a speaker's voice due to illness, mood, changes over time; background noise as the caller interacts with the system; and changes in the call's technology (digital vs. analogue, upgrades to circuits and microphones, etc).
How they can be overcome:
A standard application programming interface (API) to reduce the issues with cost, interoperability, time-to-deployment, vendor lock-in, and other aspects of building applications, "So far, law enforcement, telecommunications services, and financial services in different countries, are using speaker verification but an API standard will make it easier and more attractive for integrators and others."
Many challenges affect its accuracy. These include poor-quality voice samples; the variability in a speaker's voice due to illness, mood, changes over time; background noise as the caller interacts with the system; and changes in the call's technology (digital vs. analogue, upgrades to circuits and microphones, etc).
How they can be overcome:
A standard application programming interface (API) to reduce the issues with cost, interoperability, time-to-deployment, vendor lock-in, and other aspects of building applications, "So far, law enforcement, telecommunications services, and financial services in different countries, are using speaker verification but an API standard will make it easier and more attractive for integrators and others."