Voice: speakers and sound

NVIDIA Sortformer / TitaNet

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.

Developer
NVIDIA, USA
First release
Jul 2022
Latest release
Oct 2025
Sizes
23M (TitaNet) – 117M (Sortformer)
License
Commercial use with conditionsMixed: TitaNet and Streaming Sortformer v2 are CC-BY 4.0, v2.1 uses the NVIDIA Open Model License, Sortformer v1 is CC-BY-NC
Running
On your own serverAlso runs without a GPU
Industries
Customer support, Finance, Security
Deploy on your server Hugging Face GitHub

What it does

  • Real-time speaker tagging in conversations
  • Checking that the same person is calling (voiceprint)
  • Preparing meeting transcripts

Where it is used

Call centersBanks and security teamsVideo conferencing

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. Streaming Sortformer v2.1
  2. Streaming Sortformer v2
  3. Sortformer 4spk v1
  4. TitaNet-Large

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 NVIDIA Sortformer / TitaNet be used in a commercial project?

With conditions. License: Mixed: TitaNet and Streaming Sortformer v2 are CC-BY 4.0, v2.1 uses the NVIDIA Open Model License, Sortformer v1 is CC-BY-NC. Restrictions vary — region, company revenue, attribution requirements. Have a lawyer check the terms before a commercial launch.

What hardware does NVIDIA Sortformer / TitaNet 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 NVIDIA Sortformer / TitaNet support Russian?

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

Where can I download NVIDIA Sortformer / TitaNet and what does it cost?

The NVIDIA Sortformer / TitaNet 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.

Similar models

Voice: speakers and soundpyannote (диаризация)pyannoteAI (Hervé Bredin) · FranceCommercial use allowed

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.

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 textNVIDIA Parakeet / Canary / Nemotron SpeechNVIDIA · USACommercial use with conditions

Fast NVIDIA speech recognition models, including streaming ones for real-time use. Parakeet TDT v3 and Nemotron 3.5 ASR understand Russian.

Details

Source: huggingface.co/api/models?author=nvidia&search=sortformer. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.