Thank you very much for releasing the model and making it publicly available.
I really appreciate your work.
I am currently working on a multilingual ASR task and encountered a small issue when using the MLT model.
I noticed that the MLT model supports 31 languages. However, when I set the language option to auto and run recognition on the GigaSpeech Thai test set, the output contains a large amount of Chinese text. The behavior seems somewhat unstable.
I also tried explicitly changing the language prompt in model.py, but the recognition results are quite similar.
Are there any recommendations or best practices for using the model in multilingual scenarios?