-
Notifications
You must be signed in to change notification settings - Fork 3.9k
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Help with training own language model using DeepSpeech #3763
Comments
Hey Komol Kunty Rajib, you can do this by making the training model consume the Bangla dataset with audio and tex mapping to the model. Now create a superset model where it takes audio to text API to convert and take the audio and make clear text input to model and since model has trained on your data set it will provide the value mapping of the provided text key and easily retrieve the translation text. |
@rajib-raiyat The DeepSpeech Playbook has been produced to assist you with training a model on other languages. |
Create banglaconversion isssue solve mozilla#3763
I am interested in training my own Bangla language model using DeepSpeech, but I'm not sure where to start. I have my own Bangla dataset with audio and text, and I would like to use it to train a model that can transcribe Bangla speech to text offline. I am looking for guidance on how to preprocess my data, train a model, and evaluate its performance.
Can someone please provide detailed instructions or point me to a tutorial or guide that can help me with this process? Here are some specific questions I have:
I would appreciate any help or advice that can be provided. Thank you in advance!
The text was updated successfully, but these errors were encountered: