science

Interactive voice response

Interactive voice response is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Interactive voice response rather than just read about it. In short: 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.

Key takeaways

Interactive voice response belongs to science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Interactive voice response to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Interactive voice response from memory before moving on to harder problems.

Reference excerpt

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.

History 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. 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 VoiceXML (VXML) standard.

Technology 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:

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Interactive voice response

Start with the simplest possible case. Write down what Interactive voice response claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Interactive voice response before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Interactive voice response ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Interactive voice response

In research: Interactive voice response appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Interactive voice response in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Interactive voice response is common in secondary-school and first-year university syllabi. It links to neighbouring topics Interactivity, Telephone services, User interface techniques, so understanding it makes those chapters shorter.
In everyday life: Look for Interactive voice response outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Interactive voice response in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Interactive voice response means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Interactive voice response out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Interactive voice response in simple terms?

Why does Interactive voice response matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Interactive voice response?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Interactive voice response.