metadata
library_name: Nvidia Nemo
license: apache-2.0
language:
- fa
pipeline_tag: automatic-speech-recognition
tags:
- Persian
- Neura
- PersianASR
datasets:
- common_voice_17_0
Neura Speech Nemo
Model Description
- Developed by: Neura company
- Funded by: Neura
- Model type: fa_FastConformers_Transducer
- Language(s) (NLP): Persian
Model Architecture
The model features an improved Conformer architecture from Fast Conformer with Linearly Scalable Attention for Efficient Speech Recognition.
Uses
make sure these packages are installed:
!pip install nemo_toolkit['all']
import nemo
print('nemo', nemo.__version__)
import numpy as np
import nemo.collections.asr as nemo_asr
asr_model = nemo_asr.models.EncDecRNNTBPEModel.from_pretrained(model_name="Neurai/NeuraSpeech_900h")
asr_model.transcribe(paths2audio_files=['persian_audio.wav', ], batch_size=1)[0]
trascribed text :
او خواهان آزاد کردن بردگان بود
More Information
Model Card Authors
Esmaeil Zahedi, Mohsen Yazdinejad