Help with training own language model

I am interested in training my own Bangla language model, 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:

- What are the best practices for preprocessing Bangla audio and text data?
- How do I create a Bangla language model and generate the necessary files for training a model?
- What are the recommended training parameters and settings for training a Bangla language model ?
- How do I evaluate the performance of my trained model, and what metrics should I use?
Installation guidelines from scratch.

I would appreciate any help or advice that can be provided. Thank you in advance!

No files or tests are identified. Start with Kaldi's installation and speech-recognition training documentation, then determine how the Bangla audio and text dataset should be prepared, how training should be configured, and which evaluation metrics and offline transcription results would demonstrate completion.

Written by the indexing model from the issue text.