search

mailong25 / self-supervised-speech-recognition

speech to text with self-supervised learning based on wav2vec 2.0 framework
379 stars 115 forks source link

Issue while fine-tuning the wav2vec model #52

Open edosyhptra opened 3 years ago

edosyhptra commented 3 years ago

When I run the following script after I pretrained the xlsr model with my own dataset, Im getting error below,

FileNotFoundError: [Errno 2] No such file or directory: '/home/edo/self-supervised-speech-recognition/manifest/dev_other.tsv'

I have generated the dictionary file as well as labeled data according to the tutorial in the page with the following command, python3 gen_dict.py --transcript_file /home/edo/self-supervised-speech-recognition/examples/label_audio/asr/transcript.txt --save_dir dictionary

However, I run this command: python3 finetune.py --transcript_file home/edo/self-supervised-speech-recognition/examples/label_audio/asr/transcript.txt --pretrain_model ../models/07-46-31/checkpoints/checkpoint_best.pt --dict_file dictionary/dict.ltr.txt and get the error above.

Environment

OS: Ubuntu 18.04 LTS Cuda Version: 11.2

Additional Context

However, I tried to change the model to be used in fine-tuning process with wav2vec_small.pt instead of models/07-46-31/checkpoints/checkpoint_best.pt, I dont why it works.

Am I missing something? But im pretty sure I've followed the instructions. Or it is a bug from the fairseq itself?