Automatic Speech Recognition
NeMo
speech-recognition
fastconformer
indic
multilingual
telephony
call-center
zero-shot-language-identification
rnn-t
Eval Results (legacy)
Instructions to use TieIncred/VaaniCall with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use TieIncred/VaaniCall with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("TieIncred/VaaniCall") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Download assets/wer_indicvoices_telephonic.png from TieIncred/VaaniCall: direct link, hf CLI and curl.
- Browser
- Download file 107 kB
-
https://huggingface.co/TieIncred/VaaniCall/resolve/main/assets/wer_indicvoices_telephonic.png
- Command line
-
hf download hf://TieIncred/VaaniCall/assets/wer_indicvoices_telephonic.png
-
curl -L -o wer_indicvoices_telephonic.png https://huggingface.co/TieIncred/VaaniCall/resolve/main/assets/wer_indicvoices_telephonic.png
107 kB

- Xet hash:
- fd056b6b2d048615d9a324626dc95e6efec1fb0844f75df82e82ada63f1be8de
- Size of remote file:
- 107 kB
- SHA256:
- eec3d6eab390c5e1fd4638066443336c25198318424bfd398d83f608cabea897
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