Voice AI: speech recognition, synthesis and assistants

Eight tasks for voice AI, a chain of models versus one voice model, tools for recognition and synthesis, seven rules of a good voice product and common mistakes.

Artificial intelligence Updated

In short

Voice AI consists of two technologies: speech recognition turns calls, voice messages and meetings into text, and speech synthesis reads text aloud in a natural voice. Together with a language model they make a voice assistant: it hears a question, understands it, finds the answer and replies aloud. The most practical uses today are transcription of calls with a summary for the CRM, voice messages in messengers turned into text, voiceover of content and a phone assistant for simple requests. The main difficulty of a live conversation is speed: a person notices a pause longer than a second, so every stage of the chain must be fast.

What voice AI is used for: 8 tasks

From the simplest — turning speech into text — to a live conversation.

TaskTechnologiesEffect
Transcription of calls recognition + model a summary and next steps in the CRM
Quality control of calls recognition + model all calls checked, not a sample
Voice messages into text recognition requests from messengers enter the usual queue
Notes of meetings recognition + model decisions and tasks without a note-taker
Voiceover of content synthesis videos and audio versions of articles without a studio
Voice menu on the phone recognition + synthesis “say what you need” instead of “press 3”
A phone assistant the whole chain simple requests at any hour
Accessibility synthesis the site can be listened to

A chain or a voice model

A voice assistant is built in two ways: a chain of three models or one model that hears and speaks itself.

CriterionChain of modelsVoice model
How it works speech → text → answer → speech speech → speech
Speed slower: three stages faster, more natural
Control every stage is visible and replaceable less transparent
Knowledge base and tools easy to connect possible, with restrictions
Choice of voice any synthesis, including your own voice the voices of the provider
Log of the conversation text at every step needs a separate transcription
Best for business requests with a knowledge base live dialogue, practice, coaching

Tools for recognition and synthesis

Cloud services and open models that run on your own server.

ToolWhat it doesWhere
Whisper recognition of many languages open model, own server or cloud
Cloud recognition services fast recognition, also in real time Google, Deepgram, AssemblyAI
ElevenLabs very natural synthesis, voice cloning cloud
Voices of the model providers synthesis and live voice dialogue OpenAI, Google
Silero synthesis of Russian and other languages open model, own server
Kokoro compact synthesis of English open model, own server

7 rules of a good voice product

  1. 01

    A budget for the pause

    The whole chain fits into about a second; the model answers with a short first sentence.

  2. 02

    The right to interrupt

    When a person starts speaking, the assistant stops at once.

  3. 03

    Short answers

    What reads well on a screen sounds endless aloud — two or three sentences.

  4. 04

    Numbers and names aloud

    Amounts, dates, codes and names are prepared for reading so the voice does not stumble.

  5. 05

    Noise and accents in the test set

    Real calls from the street and the car, not studio recordings.

  6. 06

    A warning about recording

    The person knows the conversation is recorded and processed.

  7. 07

    An honest robot

    The assistant says it is an assistant and switches to a person on request.

Common mistakes with voice AI

  1. A text bot with a voice

    Long answers with lists read aloud tire the listener in seconds.

  2. Pauses of several seconds

    The person thinks the line dropped and starts talking over the answer.

  3. Testing in a quiet office

    Real customers call from the street, and recognition falls apart.

  4. Wrong stress and numbers

    A mispronounced brand name or amount sounds unprofessional.

  5. A cloned voice without consent

    A voice is a part of a person; it is cloned only with written permission.

  6. No way to a person

    A voice menu without an exit makes people hang up.

Questions about voice AI

How accurate is speech recognition?

On clear speech it is close to a person; noise, accents and special terms lower it — they are checked on your recordings.

Can a voice assistant answer phone calls?

Yes, through telephony: simple requests itself, the rest — to an operator with a summary.

Can I use my own voice?

Yes, synthesis services can clone a voice from recordings — with the consent of its owner.

Can recognition run on our own server?

Yes, open models like Whisper work locally — for recordings that must not leave the company.

Does it understand several languages?

Modern recognition and synthesis work with dozens of languages and can switch during a conversation.

What is the simplest place to start?

With transcription of calls or voice messages: the effect is immediate and nobody hears the robot.

Online form

Voice
for your product

I add voice where it is needed: transcription of calls and voice messages, voiceover and a voice channel for an assistant. Tell me about the task — I answer within one working day.

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