Voice: speakers and soundSpeech to text

pyannote (диаризация)

The most widely used open tool for splitting a recording by speaker: who spoke and when. Usually paired with speech recognition. Weights are issued after a short form on HF.

Developer
pyannoteAI (Hervé Bredin), France
First release
Mar 2022
Latest release
Sep 2025
Sizes
a few million parameters
License
Commercial use allowedMIT (2.x, 3.0, 3.1), CC-BY 4.0 (community-1); download after accepting the terms on HF
Running
On your own serverAlso runs without a GPU
Industries
Customer support, Legal, HR, Media and production
Deploy on your server Hugging Face GitHub

What it does

  • Tagging calls: which part is the agent, which is the customer
  • Meeting minutes with speaker labels
  • Preparing recordings for transcription and analysis

Where it is used

Call centers and sales teamsLegal and HR (interviews, negotiations)Media and podcasts

Hardware requirements

LaptopLaptop or regular PC, up to 8 GB of VRAM — smaller versions
fits
1 GPUOne GPU with 16–80 GB — mid-size versions
no versions
ClusterServer with several GPUs — flagship versions
no versions

Versions

  1. speaker-diarization-community-1
  2. speaker-diarization-3.1
  3. speaker-diarization-3.0
  4. speaker-diarization 2.x

How to run it

On your own serverWeights are downloaded from Hugging Face and served with vLLM (load and API) or llama.cpp (modest hardware). The model then runs in a closed network with no per-request fees.Hugging Face
How much hardware you needCalculate the VRAM for the model size, context length and number of concurrent requests.Open the hardware calculator

I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems.

Frequently asked questions

Can pyannote (диаризация) be used in a commercial project?

Yes. License: MIT (2.x, 3.0, 3.1), CC-BY 4.0 (community-1); download after accepting the terms on HF. It allows commercial use, but it is still worth having a lawyer review the license before launch.

What hardware does pyannote (диаризация) need?

At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Some versions also run on an ordinary CPU, without a GPU. You can calculate the exact VRAM for your model size and context in the hardware calculator.

Does pyannote (диаризация) support Russian?

Language does not matter for this model: it does not work with text.

Where can I download pyannote (диаризация) and what does it cost?

The pyannote (диаризация) weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.

How I deploy it for clients

  1. SelectionI pick the model size for your task and hardware and test it on your examples.
  2. DeploymentI deploy it on your server or in a closed network and provide an API.
  3. Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
  4. IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.

Comparisons

Similar models

Voice: speakers and soundNVIDIA Sortformer / TitaNetNVIDIA · USACommercial use with conditions

NVIDIA models for "who is speaking": TitaNet recognizes a specific person's voice, Sortformer splits a recording into up to 4 speakers, including live during a call.

DetailsVoice: speakers and soundWeSpeakerWeNet community · ChinaCommercial use allowed

A set of ready-made voiceprint models: checks whether the same person speaks in two recordings and helps split a recording by speaker. One of the models is built into pyannote 3.x.

DetailsSpeech to textWhisperOpenAI · USACommercial use allowed

Speech recognition in 99 languages, including Russian. The de facto standard for transcribing calls and meetings. Hugging Face's faster Distil-Whisper is English only.

Details

Source: huggingface.co/api/models/pyannote/speaker-diarization-community-1. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.