| [](http://www.repostatus.org/#active) |
| [](https://docs.nvidia.com/nemo/speech/nightly/starthere/intro.html) |
| [](https://github.com/nvidia/nemo/actions/workflows/codeql.yml) |
| [](https://github.com/NVIDIA/NeMo/blob/master/LICENSE) |
| [](https://badge.fury.io/py/nemo-toolkit) |
| [](https://badge.fury.io/py/nemo-toolkit) |
| [](https://pepy.tech/project/nemo-toolkit) |
| [](https://github.com/psf/black) |
|
|
| # **NVIDIA NeMo Speech** |
| Checkout our [HuggingFace🤗 collection](https://huggingface.co/collections/nvidia/nemotron-speech) for the latest open |
| weight checkpoints and demos! |
|
|
| ## Updates |
|
|
| - 2026-03: [Nemotron 3 VoiceChat](https://build.nvidia.com/nvidia/nemotron-voicechat/modelcard) is now released in Early Access. Built on the Nemotron Nano v2 LLM backbone with Nemotron speech and TTS decoder, VoiceChat delivers full-duplex, natural, interruptible conversations with low latency. Try out [the demo](https://build.nvidia.com/nvidia/nemotron-voicechat) and apply for [early access](https://developer.nvidia.com/nemotron-voicechat-early-access). |
| - 2026-03: [Nemotron-Speech-Streaming v2603](https://huggingface.co/nvidia/nemotron-speech-streaming-en-0.6b) has been |
| updated. It has been trained on a larger and more diverse corpus, resulting in lower WER across all latency modes. |
| Try out [the demo](https://huggingface.co/spaces/nvidia/nemotron-speech-streaming-en-0.6b) and check out |
| [the NIM](https://build.nvidia.com/nvidia/nemotron-asr-streaming). |
| - 2026-03: [MagpieTTS v2602](https://huggingface.co/nvidia/magpie_tts_multilingual_357m) has been released with support |
| for 9 languages(En, Es, De, Fr, Vi, It, Zh, Hi, Ja). Try out |
| [the demo](https://huggingface.co/nvidia/magpie_tts_multilingual_357m) and check out |
| [the NIM](https://build.nvidia.com/nvidia/magpie-tts-multilingual). |
| - 2026-01: Nemotron-Speech-Streaming was released: One checkpoint that enables users to pick their optimal point |
| on the latency-accuracy Pareto curve! |
| - 2026-01: MagpieTTS was released. |
| - 2026: This repo has pivoted to focus on audio, speech, and multimodal LLM. For the last NeMo release with support for more |
| modalities, see [v2.7.0](https://github.com/NVIDIA-NeMo/NeMo/releases/tag/v2.7.0) |
| - 2025-08: [Parakeet V3](https://huggingface.co/nvidia/parakeet-tdt-0.6b-v3) and |
| [Canary V2](https://huggingface.co/nvidia/canary-1b-v2) have been released with speech recognition and translation |
| support for 25 European languages. |
| - 2025-06: [Canary-Qwen-2.5B](https://huggingface.co/nvidia/canary-qwen-2.5b) has been released with record-setting |
| 5.63% WER on English Open ASR Leaderboard. |
| |
| ## Introduction |
|
|
| NVIDIA NeMo Speech is built for researchers and PyTorch developers working on Speech models including Automatic Speech |
| Recognition (ASR), Text to Speech (TTS), and Speech LLMs. It is designed to help you efficiently create, customize, and |
| deploy new It is designed to help you efficiently create, customize, and deploy new AI models by leveraging existing |
| code and pre-trained model checkpoints. |
|
|
| For technical documentation, please see the |
| [NeMo Framework User Guide](https://docs.nvidia.com/nemo/speech/nightly/starthere/intro.html). |
|
|
| ## Requirements |
|
|
| - Python 3.12 or above |
| - Pytorch 2.6 or above |
| - NVIDIA GPU (if you intend to do model training) |
|
|
| As of [Pytorch 2.6](https://docs.pytorch.org/docs/stable/notes/serialization.html#torch-load-with-weights-only-true), |
| `torch.load` defaults to using `weights_only=True`. Some model checkpoints may require using `weights_only=False`. |
| In this case, you can set the env var `TORCH_FORCE_NO_WEIGHTS_ONLY_LOAD=1` before running code that uses `torch.load`. |
| However, this should only be done with trusted files. Loading files from untrusted sources with more than weights only |
| can have the risk of arbitrary code execution. |
|
|
| ## Developer Documentation |
|
|
| | Version | Status | Description | |
| | ------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------ | |
| | Latest | [](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/main/) | [Documentation of the latest (i.e. main) branch.](https://docs.nvidia.com/nemo/speech/nightly/starthere/intro.html) | |
| | Stable | [](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/) | Documentation of the stable (i.e. most recent release) - To be added | |
|
|
| ## Install NeMo Speech |
|
|
| NeMo Speech is installable via pip: `pip install 'nemo-toolkit[all]'` |
| To install with extra dependencies for CUDA 12.x or 13.x, use `pip install 'nemo-toolkit[all,cu12]'` |
| or `pip install 'nemo-toolkit[all,cu13]'` respectively. |
|
|
| ## Contribute to NeMo |
|
|
| We welcome community contributions! Please refer to |
| [CONTRIBUTING.md](https://github.com/NVIDIA-NeMo/NeMo/blob/main/CONTRIBUTING.md) for the process. |
|
|
| ## Licenses |
|
|
| NeMo is licensed under the [Apache License 2.0](https://github.com/NVIDIA/NeMo?tab=Apache-2.0-1-ov-file). |
|
|
