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Interactive voice response
Interactive Voice Response (IVR) systems are automated telephony systems that interact with callers, gather information, and route calls to the appropriate recipient. They operate using voice recognition and Dual-Tone Multi-Frequency (DTMF) input from a telephone keypad. IVR systems are widely used to manage customer interactions efficiently, improve service accessibility, and streamline business operations.
IVR systems can be used to create self-service solutions for mobile purchases, banking payments, services, retail orders, utilities, travel information and weather conditions. In combination with systems such an automated attendant and automatic call distributor (ACD), call routing can be optimized for a better caller experience and workforce efficiency. IVR systems are often combined with automated attendant functionality. The term voice response unit (VRU) is sometimes used as well.
Despite the increase in IVR technology during the 1970s, the technology was considered complex and expensive for automating tasks in call centers. Early voice response systems were digital signal processing (DSP) technology based and limited to small vocabularies. In the early 1980s, Leon Ferber's Perception Technology became the first mainstream market competitor, after hard drive technology (read/write random-access to digitized voice data) had reached a cost-effective price point.[citation needed] At that time, a system could store digitized speech on disk, play the appropriate spoken message, and process the human's DTMF response.
As call centers began to migrate to multimedia in the late 1990s, companies started to invest in computer telephony integration (CTI) with IVR systems. IVR became vital for call centers deploying universal queuing and routing solutions and acted as an agent which collected customer data to enable intelligent routing decisions. With improvements in technology, systems could use speaker-independent voice recognition of a limited vocabulary instead of requiring the person to use DTMF signaling.
Starting in the 2000s, voice response became more common and cheaper to deploy. This was due to increased CPU power and the migration of speech applications from proprietary code to the VXML standard.
DTMF decoding and speech recognition are used to interpret the caller's response to voice prompts. DTMF tones are entered via the telephone keypad.
Other technologies include using text-to-speech (TTS) to speak complex and dynamic information, such as e-mails, news reports or weather information. IVR technology is also being introduced into automobile systems for hands-free operation. TTS is computer generated synthesized speech that is no longer the robotic voice traditionally associated with computers. Real voices create the speech in fragments that are spliced together (concatenated) and smoothed before being played to the caller.
An IVR can be deployed in several ways:
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Interactive voice response
Interactive Voice Response (IVR) systems are automated telephony systems that interact with callers, gather information, and route calls to the appropriate recipient. They operate using voice recognition and Dual-Tone Multi-Frequency (DTMF) input from a telephone keypad. IVR systems are widely used to manage customer interactions efficiently, improve service accessibility, and streamline business operations.
IVR systems can be used to create self-service solutions for mobile purchases, banking payments, services, retail orders, utilities, travel information and weather conditions. In combination with systems such an automated attendant and automatic call distributor (ACD), call routing can be optimized for a better caller experience and workforce efficiency. IVR systems are often combined with automated attendant functionality. The term voice response unit (VRU) is sometimes used as well.
Despite the increase in IVR technology during the 1970s, the technology was considered complex and expensive for automating tasks in call centers. Early voice response systems were digital signal processing (DSP) technology based and limited to small vocabularies. In the early 1980s, Leon Ferber's Perception Technology became the first mainstream market competitor, after hard drive technology (read/write random-access to digitized voice data) had reached a cost-effective price point.[citation needed] At that time, a system could store digitized speech on disk, play the appropriate spoken message, and process the human's DTMF response.
As call centers began to migrate to multimedia in the late 1990s, companies started to invest in computer telephony integration (CTI) with IVR systems. IVR became vital for call centers deploying universal queuing and routing solutions and acted as an agent which collected customer data to enable intelligent routing decisions. With improvements in technology, systems could use speaker-independent voice recognition of a limited vocabulary instead of requiring the person to use DTMF signaling.
Starting in the 2000s, voice response became more common and cheaper to deploy. This was due to increased CPU power and the migration of speech applications from proprietary code to the VXML standard.
DTMF decoding and speech recognition are used to interpret the caller's response to voice prompts. DTMF tones are entered via the telephone keypad.
Other technologies include using text-to-speech (TTS) to speak complex and dynamic information, such as e-mails, news reports or weather information. IVR technology is also being introduced into automobile systems for hands-free operation. TTS is computer generated synthesized speech that is no longer the robotic voice traditionally associated with computers. Real voices create the speech in fragments that are spliced together (concatenated) and smoothed before being played to the caller.
An IVR can be deployed in several ways: