Fine-tuning QuartzNet 15*5 with multiple speaker audio dataset
Hi,
Can I use Persian Multiple speaker audio datasets for fine-tuning QuartzNet15*5? Will be the WER low as I fine-tune it with a single speaker dataset?
Thanks


**Environment overview**

- Environment location: Google Colab
- Method of NeMo install: !pip install nemo_toolkit[asr]
- NeMo version: 1.0.0
- Learning Rate: 1e-3

**Environment details**

- OS version : "Ubuntu20.04.3 LTS"
- PyTorch version : "1.7.1"