Speech Recognition in Python | finetune wav2vec2 model for a custom ASR model

In this YouTube tutorial, we'll explore the Wav2Vec2 model, a powerful tool for speech recognition and representation learning. If you're in the field of speech recognition or interested in top-notch models, you've likely heard of Wav2Vec2. This video focuses on practical steps, guiding you through fine-tuning Wav2Vec2 with your own speech data without delving deep into technicalities.

Wav2Vec2 is designed for Connectionist Temporal Classification (CTC) loss, and we'll show you how to use it effectively for your tasks. You can leverage pre-trained models and adapt them to your needs, saving you from starting from scratch.

We'll walk you through the code, ensuring you have the necessary requirements like PyTorch and Transformers. You'll also learn how to apply audio augmentations to enhance data quality.

Throughout the tutorial, you'll discover how to monitor your model's progress with TensorBoard, implement early stopping, and save the best checkpoints. We'll also cover converting your PyTorch model to ONNX for easier deployment on various platforms.

To validate the model's performance, we'll run inference on a test dataset, checking character and word error rates to showcase the model's accuracy.

This tutorial aims to empower you to use Wav2Vec2 effectively for speech recognition tasks, whether you're a beginner or an experienced practitioner.

#transformers #nlp #wav2vec #tensorflow #pytorch

[infinitewebrevolution]

Thank you so much sir with your hard work and pertained model, it has helped me alot
I would always thank you

[hugok]

Excellent video and explanation. I have a question, if I train a model this way, can I use it for speech recognition in real time?. Thank you

[NONGNCS]

i want to create an ASR for an African Vernacular/local language, could i use this for that, ill create my own dataset if need be, or what would you suggest, im attempting this for the first time an am a little lost and overwhelmed

[shafiqrhmankeliwall]

Hi Great job Keep it up, I have one question that : I want to build/Train model for some low resource languages such as Pashto, I will make a dataset from scratch. any idea how to start or any useful links. Thanks

[glfqrki]

Good i'm getting errors on onnx installation, ....what python version did you use

[victormessias]

When I'm training, its freezes on the end of the first epoch. Any idea?

[maimunahmaskur]

its a great code!
Could you please help, if I want to use this code for a dataset labeled phonemes and use PER (Phoneme Error Rate) for test and validation, what should I do? I mean which parts of the code do I need to adjust?
Thank You!

[AmitYadav-rpot]

Hi there, great video!
I wanted to know your opinion on training a model like this just for recognising numbers and couple of words from an audio file.

will such a custom training help to reduce the size of the model ?

I want to create a very small model so that I can run it on a sub GHz clock CPU.

please share what you think.
Many thanks

[djrocks]

Hi there! Thanks a lot for this. I wanted to ask you - I am working on a desktop voice assistant project as part of my university work. I wanted to train my own speech recognition model. How would I go about this? I saw datasets and something like Mozillas 79GB data is too much for my needs and was wondering how I'd go about making a smaller scale speech recognition model for my project.

[mohamedabdiaziz]

My final university projects is like this system, I need help I have prepared my own dataset

[Ogamp]

thank you for this. Could you please put me through an ASRmodel for recognizing regional accents please? how can i contact you thanks