Automatic Speech Recognition
NeMo
PyTorch
English
speech
streaming
audio
Transducer
Conformer
CTC
NeMo
Eval Results (legacy)
Instructions to use nvidia/stt_en_fastconformer_hybrid_large_streaming_multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use nvidia/stt_en_fastconformer_hybrid_large_streaming_multi with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("nvidia/stt_en_fastconformer_hybrid_large_streaming_multi") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Future streaming model plans?
#1
by dave-savati - opened
This is great; thank you! Do you have plans to make streaming models for other languages as well?
We have plans to release models on other languages. What languages you are looing for?
Hi @vnoroozi ; thanks for the reply! In addition to English, we're working with Filipino (Tagalog), Hindi and Spanish.
@vnoroozi is there a plan for supporting custom language models ?
any future arabic version?
am struggling on building the right tokenizer from scratch and training recipes