Train your custom Speech Recognition Model with Hugging Face models

This tutorial will show you how to train a custom voice recognition model using Hugging face models. With the increasing popularity of voice-enabled devices and services, having accurate and reliable voice recognition is crucial. By training your own custom voice recognition model, you can improve the accuracy of your voice-enabled applications and services, and tailor them to your specific needs.

We will walk you through the process of preparation of training data and how to fine-tune on top of a custom voice recognition model, and tuning. We will also describe how to inference this model in real-time.

#speechrecognition #huggingface

[AdityaPatel-fc]

your voice_cloning python module have several issues

[shwetabhat]

Great content sir . Thank you so much . Learnt a lot from this one . Keep growing 🎉

[avinashok]

Nice tutorial Deepak. Keep making such useful content. ❤

[Foodie_Place]

hello sir,
does this model detect filler words ?

[GouravKumar-qigt]

sir, I am note able to import huggingsound, Please help

[ganeshmittal]

I am getting too many errors when I run the model_training code. I have tried running it on Google Colab, but I still cannot get any results. Can you please help me?

[PreetiS-xu]

Hello, I ran the codes and trained the model on the entire dataset, but when I run the inference code, the predictions are empty. Any idea why? Could it have anything to do with the fact that I don't have pytorch_model.bin in my model folder, but model.safetensors instead?

[dailytalkingpaper]

the model you created is it based on the whole datasets?