Which IVR building block allows the system to understand spoken words, moving past mere tones?
Answer
Automatic Speech Recognition (ASR)
Automatic Speech Recognition (ASR) is specifically identified as the building block that enables an IVR system to understand human speech, representing a significant technological advancement beyond simple tone detection. While DTMF Recognition interprets the tones pressed on the keypad, and Text-to-Speech (TTS) converts written data into audible output, ASR allows the system to process natural language input, such as a caller saying, 'I have a question about my bill' instead of pressing '3' for billing. The incorporation of ASR capabilities marked a shift toward more complex query resolution and less reliance on rigid, button-press navigation.
Related Questions
Which Bell Labs researcher is most credited for the core IVR mechanism integrating DTMF signaling?What entity utilized the first practical, large-scale application of IVR technology for verification purposes?Which IVR building block allows the system to understand spoken words, moving past mere tones?What critical technological hurdle did John L. Kelly Jr. relate to at Bell Labs?What three independently developing areas converged to create the invention of IVR?What primary input method characterized early IVR systems before ASR integration?What is the specific function of Text-to-Speech (TTS) within the IVR building blocks?What key difference separates the Interaction Goal of Early DTMF IVR versus Modern Conversational IVR?What forced the formal term 'Interactive Voice Response' to solidify in the business consciousness?What is the purpose of Call Flow Logic in the structure of IVR components?