NVIDIA NeMo: Toolkit for Conversational AI
summary
An open source toolkit that combines PyTorch and PyTorch Lightning with modular collections for ASR NLP and TTS provides pretrained models and step‑by‑step notebooks a three‑line Python recipe transcribes audio and adapters enable fine tuning instead of full model updates ASR shows large gains reaching about 3.0% WER on LibriSpeech (from ~4.7%) TTS uses FastPitch + vocoder with MOS near ground truth and models deploy to production via NVIDIA Riva deployment.
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chapters (16)
- 0:00NVIDIA NeMo introduction
- 1:11NeMo overview and capabilities
- 5:08Why use NeMo for AI
- 8:36Start with NeMo tutorials
- 10:22ASR deep dive
- 14:11ASR model demo
- 16:58Run ASR locally or on Colab
- 18:01Other NeMo speech models
- 20:07TTS pipeline and models
- 22:14Speech synthesis code
- 23:20Large language models
- 25:47Conversational AI demo
- 28:57Zero-shot learning
- 31:29Neural machine translation
- 33:13Deploy NeMo with Riva
- 35:25Next steps and GTC
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