NVIDIA's multilingual ASR model (600M parameters, FastConformer-TDT) transcribing speech in 25 European languages with automatic language detection.
Parameters
0.6B (600M)
parameters
Release date
14 August 2025
Access:DownloadHostedDeployment:💻 Local☁ Cloud
Overview
Access & deployment
DownloadHosted
LocalCloud
Weights: Open weights
Key parameters
🧩 Parameters: 0.6B (600M)
✓ Fine-tuning
📥 Input: audio
Technical specification
Parameters
0.6B (600M)
parameters
License
CC-BY-4.0
Hardware requirements
Optimized for NVIDIA GPU accelerators (CUDA). Long-form transcription up to 24 minutes with full attention requires an A100 80GB GPU; a quantized GGUF variant (q8_0) is available for lightweight local inference via NeMo-Speech.cpp.
Features:✓ Fine-tuning
Modalities
⬇ Input
audio
⬆ Output
text
Benchmark results
10 benchmarks
LibriSpeech test-clean (WER)
WER · test, English
1.93%
📄 Model card (Hugging Face)
LibriSpeech test-other (WER)
WER · test, English
3.59%
📄 Model card (Hugging Face)
GigaSpeech (WER)
WER · test, English
9.59%
📄 Model card (Hugging Face)
AMI (Meetings, IHM) (WER)
WER · test, English
11.31%
📄 Model card (Hugging Face)
TED-LIUM v3 (WER)
WER · test, English
2.75%
📄 Model card (Hugging Face)
FLEURS English (WER)
WER · test, en_us
4.85%
📄 Model card (Hugging Face)
FLEURS German (WER)
WER · test, de_de
5.04%
📄 Model card (Hugging Face)
FLEURS Spanish (WER)
WER · test, es_419
3.45%
📄 Model card (Hugging Face)
FLEURS French (WER)
WER · test, fr_fr
5.15%
📄 Model card (Hugging Face)
FLEURS Polish (WER)
WER · test, pl_pl
7.31%
📄 Model card (Hugging Face)
