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Call intelligence glossary

Plain-English definitions for call intelligence, voice biometrics, QA, and compliance, written to answer the question first.

Agent assist

Real-time guidance shown to an agent during a live call.

Agent scorecard

A summary of an agent’s call-quality performance across scored calls.

AI receptionist

An AI voice agent that answers, routes, and handles inbound calls.

Automated call QA

Using AI to score every call against a quality rubric, instead of a manual sample.

Call categorization

Automatically sorting calls into types or reasons, such as billing or complaint.

Call scoring

Rating a call against defined criteria, as pass/fail or on a numeric scale.

Conversation intelligence

Analyzing recorded conversations to surface insight, trends, and coaching signals.

Data subject access request (DSAR)

A request, under laws like GDPR, for the personal data an organization holds on someone.

Disclosure detection

Checking whether a required notice, like a call-recording disclosure, was actually given.

Dynamic number insertion (DNI)

Swapping the phone number shown on a site so calls can be attributed to a source.

Enrollment (voice biometrics)

Capturing a reference voiceprint so a speaker can later be recognized.

False acceptance rate (FAR)

How often a biometric system wrongly accepts an imposter as a match.

First call resolution (FCR)

The share of issues resolved on the first call, without a follow-up.

Knowledge-based authentication (KBA)

Verifying identity by asking questions only the real person should know.

Mini-Miranda

The disclosure debt collectors must give identifying the call as an attempt to collect a debt.

PLDA (Probabilistic Linear Discriminant Analysis)

A calibrated scoring method that decides whether two voiceprints are the same speaker.

Real-time transcription

Transcribing speech as the conversation happens, rather than after it ends.

Redaction

Removing or masking sensitive information from a transcript or recording.

Sentiment analysis

Classifying whether language is positive, negative, or neutral.

Speaker diarization

Splitting a recording into who spoke when.

Speaker identification

Determining who is speaking by searching many enrolled voices (one-to-many).

Speaker verification

Confirming a claimed identity from a voice (a one-to-one check).

Speech-to-text (ASR)

Converting spoken audio into written text, also called automatic speech recognition.

Structured data extraction

Pulling typed, validated fields out of a conversation for use in other systems.

Two-party consent

A recording rule requiring every party on a call to consent to being recorded.

Vishing (voice phishing)

Phone-based social engineering that tricks people into revealing information or money.

Voice biometrics

Recognizing or verifying a person from the unique characteristics of their voice.

Voice emotion recognition

Inferring emotion from how something was said, using the audio rather than the text.

Voiceprint

A mathematical representation of a voice used to recognize a speaker.