Comments (4)
Hi! 🙂
At first, please read through the issue #7, it may be helpful for you.
To build your dataset: If you have any audio-transcript pairs in Urdu, just mix them with the dataset provided in this repository and make sure that it has similar transcripts length distribution and audio duration distribution. You can use this jupyter notebook notebooks/analyze.ipynb
for the analysis.
You do not need to change vocabulary as the model is character-based. So you do have to extend it with the list of Arabic letters. Specifically, change the parameter characters
to something like abcdefghijklmnopqrstuvwxyzçèéßäöōǎǐíǒàáǔüèéìūòóùúāēěīâêôûñőűабвгдежзийклмнопрстуфхцчшщъыьэюяёوهنملكقفغعظطضصشسزرذدخحجثتبيا
(I do not undrestand the Arabic script, but it should be a simple text string with every possible character in the alphabet, also make sure that encoding and everything works)
Best wishes, Tomas
from multilingual_text_to_speech.
Thanks you very much!
I run the code analyze.py, get error:
FileNotFoundError Traceback (most recent call last)
<ipython-input-5-449f082df24f> in <module>
3 metafile = "all_reduced.txt"
4 dataset_root = "../data/css10"
----> 5 data = TextToSpeechDataset(os.path.join(dataset_root, metafile), dataset_root)
~/Multilingual_Text_to_Speech/dataset/dataset.py in __init__(self, meta_file, dataset_root_dir, known_unique_speakers)
82 unique_speakers_set = set(self.unique_speakers)
83 self.items = []
---> 84 with open(meta_file, 'r', encoding='utf-8') as f:
85 for line in f:
86 line_tokens = line[:-1].split('|')
FileNotFoundError: [Errno 2] No such file or directory: '../data/css10/all_reduced.txt'
How create file /all_reduced.txt? is not in folder.
from multilingual_text_to_speech.
Use a dataset meta-file that exists, for example metafile = "all.txt"
. The notebook is intended just for quick experiments and plotting of some data. You do not have to run it completly or as is.
from multilingual_text_to_speech.
This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.
from multilingual_text_to_speech.
Related Issues (20)
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from multilingual_text_to_speech.