metadata
license: cc-by-nc-4.0
language:
- bn
library_name: nemo
pipeline_tag: automatic-speech-recognition
Hishab BN FastConformer
Hishab BN FastConformer is a fastconformer based model trained on ~18K Hours MegaBNSpeech corpus.
Using method
This model can be used for transcribing Bangla audio and also can be used as pre-trained model to fine-tuning on custom datasets using NeMo framework.
Installation
To install NeMo check NeMo documentation.
Inferencing
import nemo.collections.asr as nemo_asr
asr_model = nemo_asr.models.ASRModel.from_pretrained("hishab/hishab_bn_fastconformer")
transcriptions = asr_model.transcribe(["file.wav"])
Training Datasets
Training Details
Evaluation
