AI glossary for content assistants
Plain-English definitions of 13,917 AI terms for branded assistant teams.
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13,917 terms. Open one for definitions and related concepts.
Call Scoring
Call scoring uses AI to automatically evaluate customer service and sales calls against defined criteria, providing quality scores and feedback.
Agent Assist Voice
Agent assist voice provides real-time AI guidance to customer service agents during phone calls, suggesting responses and surfacing relevant information.
Real-Time Coaching
Real-time coaching uses AI to provide live feedback and guidance to agents during customer calls, improving performance in the moment.
Voice Biometric Authentication
Voice biometric authentication verifies user identity through their unique vocal characteristics, replacing or supplementing traditional authentication methods.
Environmental Sound Classification
Environmental sound classification identifies and categorizes non-speech sounds in audio recordings, such as traffic, rain, animals, or machinery.
Music Classification
Music classification automatically categorizes music by genre, mood, instruments, tempo, and other attributes using audio analysis and AI.
Audio Source Separation
Audio source separation isolates individual sound sources from a mixed audio recording, such as separating vocals from instruments in a song.
Noise Cancellation
Noise cancellation uses AI to remove unwanted background sounds from audio in real time, preserving the desired speech or audio signal.
Echo Cancellation
Echo cancellation removes acoustic echo from audio signals, preventing speakers from hearing their own voice echoed back during calls.
Audio Embedding
Audio embeddings are compact vector representations of audio that capture meaningful acoustic properties for similarity search and classification.
Audio Augmentation
Audio augmentation applies transformations to training audio data to increase diversity and improve the robustness of speech and audio AI models.
Voice Agent
A voice agent is an AI-powered system that conducts natural voice conversations, combining real-time ASR, LLM reasoning, and TTS to handle complex tasks over voice channels.
Speech-to-Speech
Speech-to-speech (S2S) converts audio directly to audio in a different voice, language, or with modified content without an intermediate text step.
Vapi
Vapi is a voice AI infrastructure platform for building real-time phone and voice agents, providing WebSocket-based voice pipelines, telephony integration, and LLM orchestration.
Word Error Rate (WER)
Word Error Rate is the primary evaluation metric for speech recognition accuracy, measuring the percentage of words incorrectly transcribed relative to the reference transcript.
WhisperX
WhisperX is an enhanced version of OpenAI's Whisper that adds accurate word-level timestamps, speaker diarization, and faster processing through batched inference.
pyannote.audio
pyannote.audio is an open-source Python library for speaker diarization, voice activity detection, and speaker verification using pre-trained neural models.
Phoneme
A phoneme is the smallest unit of sound in a language that distinguishes one word from another, forming the building blocks of pronunciation and speech processing.
Prosody
Prosody refers to the rhythm, stress, pitch, and intonation patterns of speech that convey meaning, emotion, and structure beyond the literal words spoken.
Kokoro TTS
Kokoro is a lightweight open-source TTS model under 100MB that generates high-quality speech with minimal compute requirements, making it ideal for on-device and edge deployment.
Automatic Punctuation Restoration
Automatic punctuation restoration adds punctuation marks to ASR transcripts, converting raw speech-to-text output into readable, structured text with periods, commas, and question marks.
Voice Biometrics
Voice biometrics uses the unique characteristics of a person's voice as a biometric identifier for authentication, fraud detection, and identity verification.
Barge-In
Barge-in is the ability for a voice system to detect when a user starts speaking during system playback and immediately stop or pause its own audio so the user can interrupt naturally.
End-of-Utterance Detection
End-of-utterance detection decides when a speaker has finished their turn so a voice system can stop listening and begin processing the next response.
Turn Detection
Turn detection is the process of deciding when speaking control shifts between participants so a voice system can manage listening, playback, and interruptions correctly.
Full-Duplex Voice
Full-duplex voice refers to conversational systems that can listen and speak at the same time, enabling more natural overlap, interruption, and backchannel behavior.
Telephony ASR
Telephony ASR is speech recognition optimized for phone-call audio, where narrowband codecs, packet loss, echo, and noisy environments make transcription harder than clean microphone speech.
Neural Vocoder
A neural vocoder converts predicted acoustic features such as mel spectrograms into waveform audio, making it a critical component of modern high-quality speech synthesis.
Streaming TTS
Streaming TTS generates and plays speech incrementally instead of waiting for the full utterance, reducing time to first audio in live voice conversations.
Forced Alignment
Forced alignment maps a known transcript onto an audio recording to determine exactly when each word or phoneme was spoken.
Inverse Text Normalization
Inverse text normalization converts spoken-form transcripts such as "twenty five dollars" into written forms like "$25" or "25 dollars" that downstream systems can use reliably.
Speech Enhancement
Speech enhancement improves the clarity and intelligibility of spoken audio by reducing noise, reverberation, distortion, and other artifacts before downstream processing.
Voice Latency
Voice latency is the total delay between a user speaking and the system responding audibly, including turn detection, ASR, reasoning, and TTS startup.
Interruption Handling
Interruption handling is the set of policies and technical controls that let a voice system react correctly when a user cuts in, changes direction, or overlaps with playback.
Pronunciation Lexicon
A pronunciation lexicon is a dictionary that maps written words to their phonetic forms so speech recognition and synthesis systems know how words should sound.
AI-as-a-Service
AI-as-a-Service (AIaaS) delivers artificial intelligence capabilities through cloud APIs and platforms, allowing businesses to use AI without building or maintaining their own models.
Pay-per-Token
Pay-per-token is a pricing model for LLM APIs where customers are charged based on the number of tokens (word fragments) processed in their requests and responses.
Usage-based Pricing
Usage-based pricing charges customers based on their actual consumption of AI services, such as API calls, tokens processed, or compute time, rather than flat subscription fees.
Credit-based Pricing
Credit-based pricing provides a virtual currency that customers purchase upfront and spend on various AI services, offering flexibility across different features and usage types.
Freemium
Freemium is a business model offering a free tier with basic AI capabilities alongside paid tiers with advanced features, enabling users to try before they buy.
Enterprise Pricing
Enterprise pricing for AI products offers custom plans with volume discounts, dedicated support, security features, and SLAs tailored to large organization needs.
ROI
ROI (Return on Investment) for AI measures the financial return generated by AI implementations relative to their cost, including both direct savings and indirect benefits.
Total Cost of Ownership
Total Cost of Ownership (TCO) for AI includes all direct and indirect costs over the lifetime of an AI system: software, hardware, implementation, training, maintenance, and operations.
Cost per Resolution
Cost per resolution measures the average cost to fully resolve a customer issue, accounting for multi-touch interactions and escalations in the total cost calculation.
Customer Acquisition Cost
Customer Acquisition Cost (CAC) is the total cost of acquiring a new customer, including marketing, sales, and onboarding expenses, used to evaluate growth efficiency.
Customer Lifetime Value
Customer Lifetime Value (LTV/CLV) estimates the total revenue a business can expect from a single customer over the entire duration of their relationship.
Churn Rate
Churn rate measures the percentage of customers or revenue lost over a given period, indicating retention health and predicting long-term business sustainability.
Monthly Recurring Revenue
Monthly Recurring Revenue (MRR) is the predictable monthly revenue from active subscriptions, the core financial metric for subscription-based AI businesses.
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What is InsertChat?
InsertChat is a white-label AI assistant for your website. Train it, brand it, publish it, and learn from visitor questions.
How does InsertChat use my website content?
Connect approved pages, docs, videos, FAQs, policies, and other sources. InsertChat turns them into source-backed answers and next steps.
Can I control the assistant's tone and sources?
Yes. Choose its sources, tone, welcome message, and prompts so it stays on brand.
How does InsertChat stay accurate?
Answers use approved content and source links. Analytics show unclear or missing answers so you can improve coverage.
Can it collect leads or route support questions?
Yes. InsertChat can collect details, qualify intent, add context, and send chats to the right inbox, CRM, workflow, or person.
Can I control how the assistant behaves?
Yes. Control prompts, model choice, tool access, and the branded assistant experience so behavior stays consistent.
Which AI models can I use?
InsertChat supports multiple model providers. Choose each assistant's model for quality, speed, and cost, or use BYOK.
Can I pick different models for different workflows?
Yes. Use a faster model for common questions and a stronger model for complex reasoning. InsertChat supports that balance per conversation.
Where can I deploy an assistant?
Use a widget, embed, full-page assistant, custom domain, in-app embed, or API. Reuse one setup across surfaces.
Do I need coding skills?
No. Build and deploy AI assistants using our visual builder. The embed code is one line of JavaScript.
Can I customize the branding and UI?
Yes. Customize the assistant name, logo, colors, welcome message, suggested prompts, tone, domain, and white-label presentation.
Can I use my own domain?
Yes. Custom domains are supported, typically via enterprise options.
Does InsertChat support voice?
Yes. Voice dictation and text-to-speech let users speak instead of type.
Does InsertChat support vision?
Yes. Enable vision for assistants when images help clarify a request or context.
What tools and integrations are supported?
Zendesk, HubSpot, Shopify, WooCommerce, calendar booking, web search, Perplexity, and webhooks for your own systems.
Can I control which tools the assistant is allowed to use?
Yes. Tool access is controlled per assistant so you enable only what you need.
Can the agent hand off to a human?
Yes. Configure human handoff so the agent escalates when needed. Full conversation history is passed along.
Do you provide analytics?
Yes. Track chats, leads, feedback, top questions, unanswered questions, most-used sources, and content gaps.
Is it mobile friendly?
Yes. The widget and embeds work well on desktop and mobile with no separate experience needed.
What's the fastest path to a successful deployment?
Start with one assistant and a small set of high-value sources. Iterate using real questions from analytics.
What is the fastest way to get started?
Create an account. Connect one key source. Ask a test question, brand the assistant, then publish it on one page.