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`NVIDIA NeMo Speech <https://github.com/NVIDIA/NeMo>`_ is an open-source toolkit for speech, audio, and multimodal language model research, with a clear path from experimentation to production deployment.
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<div class="task-card-grid">
<a class="task-card" href="asr/intro.html">
<h3>🎙️ Transcribe Speech (ASR)</h3>
<p>Convert audio to text with state-of-the-art accuracy. Supports 14+ languages, streaming, and timestamps.</p>
<strong>Quick Start →</strong>
</a>
<a class="task-card" href="tts/intro.html">
<h3>🔊 Synthesize Speech (TTS)</h3>
<p>Generate natural human speech from text. Multi-language, multi-speaker, with controllable prosody.</p>
<strong>Quick Start →</strong>
</a>
<a class="task-card" href="asr/speaker_diarization/intro.html">
<h3>👥 Identify Speakers</h3>
<p>Determine "who spoke when" in multi-speaker audio. Speaker diarization, recognition, and verification.</p>
<strong>Quick Start →</strong>
</a>
<a class="task-card" href="speechlm2/intro.html">
<h3>🧠 Speech Language Models</h3>
<p>Audio-aware LLMs that understand and generate speech. Speech-to-text, speech-to-speech, and more.</p>
<strong>Quick Start →</strong>
</a>
<a class="task-card" href="audio/intro.html">
<h3>🎧 Process Audio</h3>
<p>Enhance, restore, and separate audio signals. Improve audio quality for downstream tasks.</p>
<strong>Quick Start →</strong>
</a>
<a class="task-card" href="tools/intro.html">
<h3>🛠️ Speech AI Tools</h3>
<p>Forced alignment, data exploration, CTC segmentation, and evaluation utilities for speech workflows.</p>
<strong>Explore Tools →</strong>
</a>
</div>
What is NeMo?
--------------
`NVIDIA NeMo <https://github.com/NVIDIA/NeMo>`_ is an open-source toolkit for building, customizing, and deploying speech, audio, and multimodal language models. It provides:
- **Pretrained models** — production-ready checkpoints on `NGC <https://catalog.ngc.nvidia.com/models?query=nemo&orderBy=weightPopularDESC>`__ and `HuggingFace Hub <https://huggingface.co/nvidia>`__
- **Modular architecture** — neural modules you can mix, match, and extend
- **Scalable training** — multi-GPU/multi-node via PyTorch Lightning with mixed-precision support
- **Simple configuration** — YAML-based experiment configs with `Hydra <https://hydra.cc/>`__
Get started in 30 seconds:
.. code-block:: bash
pip install nemo_toolkit[asr,tts]
.. code-block:: python
import nemo.collections.asr as nemo_asr
model = nemo_asr.models.ASRModel.from_pretrained("nvidia/parakeet-tdt-0.6b-v2")
print(model.transcribe(["audio.wav"])[0].text)
.. toctree::
:maxdepth: 1
:caption: Getting Started
:name: starthere
starthere/install
starthere/ten_minutes
starthere/key_concepts
starthere/choosing_a_model
starthere/tutorials
.. toctree::
:maxdepth: 1
:caption: Training
:name: Training
features/parallelisms
features/mixed_precision
.. toctree::
:maxdepth: 1
:caption: Model Checkpoints
:name: Checkpoints
checkpoints/intro
.. toctree::
:maxdepth: 1
:caption: APIs
:name: APIs
:titlesonly:
apis
.. toctree::
:maxdepth: 1
:caption: Collections
:name: Collections
:titlesonly:
collections
.. toctree::
:maxdepth: 1
:caption: Speech AI Tools
:name: Speech AI Tools
:titlesonly:
tools/intro
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