NeMo

Human labels, rule-based labels, or a teacher model writing the exam — what actually makes supervision "strong," and who verifies it?

Merging weights happens in parameter space. Blending datasets happens in data space — and the messy part is worth it.

Two hours of phone recordings took Hebrew code-switching from 20% to 60%. But when does more data stop mattering?

Whisper gives you one dial. NVIDIA gives you five. A practical map of the Parakeet, Canary, and Nemotron speech models.

Punctuation, casing, ITN, disfluency — the four-job layer between raw ASR output and text you can actually read.

NVIDIA Parakeet beats Whisper on phone dictation despite having more parameters. Here's why architecture matters more than model size.

Discover how PyAnnote and other tools tackle the critical task of identifying "who spoke when" in audio—and why it’s harder than it sounds.

Move over Whisper. NVIDIA's new models offer 10x speed increases and better accuracy for real-time speech-to-text.