|
--- |
|
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 |
|
|
|
<p align="center"> |
|
<img src="neura_speech.png" width=512 height=256 /> |
|
</p> |
|
|
|
<!-- Provide a quick summary of what the model is/does. --> |
|
|
|
## Model Description |
|
|
|
<!-- Provide a longer summary of what this model is. --> |
|
|
|
- **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](https://arxiv.org/abs/2305.05084). |
|
|
|
## Uses |
|
|
|
make sure these packages are installed: |
|
``` |
|
!pip install nemo_toolkit['all'] |
|
``` |
|
```python |
|
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 |
|
https://neura.info |
|
|
|
## Model Card Authors |
|
Esmaeil Zahedi, Mohsen Yazdinejad |
|
|
|
## Model Card Contact |
|
[email protected] |
