Automatic Speech Recognition
NeMo
Bengali
ASR
Automatic Speech Recognition
Bangla ASR
Bengali ASR
bn asr
Bangla fastconformer
Instructions to use speaklar/speaklar_stt_bn_fastconformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use speaklar/speaklar_stt_bn_fastconformer with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("speaklar/speaklar_stt_bn_fastconformer") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Installation
To install NeMo check NeMo documentation.
pip install -q 'nemo_toolkit[asr]'
Inferencing
# pip install -q 'nemo_toolkit[asr]'
import nemo.collections.asr as nemo_asr
asr_model = nemo_asr.models.ASRModel.from_pretrained("speaklar/speaklar_stt_bn_fastconformer")
auido_file = "test_bn.wav"
transcriptions = asr_model.transcribe([auido_file])
print(transcriptions)
# ['ডিজিটাল প্রম্পট দেখে গুগল ম্যাপে লোকেশন ড্রাইভ রুট খুঁজে পেলাম ']
Author
Munzur ul Mamun
📧 munzuruleee@gmail.com
🌐 https://speaklar.com
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Model tree for speaklar/speaklar_stt_bn_fastconformer
Base model
hishab/titu_stt_bn_fastconformer