AI that finally hears you. 👂
Hy ASR 3.0 preview drops today.
Powered by Hy3’s language brain
→ precision ASR + deep semantic understanding
Wins on:
• general recognition
• context awareness
• multi-scenario robustness
• dialect coverage
Messy real-world audio? Clean, coherent transcripts that nail your intent.
Open + internal benches: leading.
Multilingual WER ≈ 3%.
Voice just got an upgrade. 🔥
#HyASR #TencentAI #Hy3
LLM — A large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.
context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
grounding — Tying a model's answers to checkable sources — retrieved documents, live data, tool results — instead of letting it answer from memory alone.
Why it matters
An LLMA large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.Full definition →-groundingTying a model's answers to checkable sources — retrieved documents, live data, tool results — instead of letting it answer from memory alone.Full definition → ASR preview reporting roughly 3% multilingual WER is worth benchmarking against your current transcription path, especially on accented or noisy audio where acoustic-only models degrade.
