KeyError: '@Gallantry' while running preprocessing command

[mlrober]

Hi Team,

I have tried to replicate training fastspeech2 from scratch with libritts dataset. I have followed the steps in the repo as follows:

Step1: Run the dataset on this Jupyter Notebook: https://github.com/TensorSpeech/TensorFlowTTS/blob/master/examples/fastspeech2_libritts/libri_experiment/prepare_libri.ipynb Step2: then i have cloned the repo and ran setup.py install Step3: Created "Train.txt" file Step4: Executed below command !tensorflow-tts-preprocess --rootdir ./libritts --outdir ./dump_lib --config ./TensorFlowTTS/preprocess/libritts_preprocess.yaml --dataset libritts

When i ran the above command i got following error:

[nltk_data] Downloading package averaged_perceptron_tagger to [nltk_data] /root/nltk_data... [nltk_data] Package averaged_perceptron_tagger is already up-to- [nltk_data] date! [nltk_data] Downloading package cmudict to /root/nltk_data... [nltk_data] Package cmudict is already up-to-date! 2021-09-04 16:58:25,164 (preprocess:378) INFO: Selected 'libritts' processor. 2021-09-04 16:58:25,174 (preprocess:417) INFO: Training items: 1267 2021-09-04 16:58:25,174 (preprocess:418) INFO: Validation items: 67 [Preprocessing train]: 0% 0/1267 [00:00<?, ?it/s] Traceback (most recent call last): File "/usr/local/bin/tensorflow-tts-preprocess", line 33, in sys.exit(load_entry_point('TensorFlowTTS==0.0', 'console_scripts', 'tensorflow-tts-preprocess')()) File "/usr/local/lib/python3.7/dist-packages/tensorflow_tts/bin/preprocess.py", line 451, in preprocess for result, mel, energy, f0, features in train_map: File "/usr/lib/python3.7/multiprocessing/pool.py", line 354, in return (item for chunk in result for item in chunk) File "/usr/lib/python3.7/multiprocessing/pool.py", line 748, in next raise value File "/usr/lib/python3.7/multiprocessing/pool.py", line 121, in worker result = (True, func(*args, **kwds)) File "/usr/lib/python3.7/multiprocessing/pool.py", line 140, in _helper_reraises_exception raise ex File "/usr/lib/python3.7/multiprocessing/pool.py", line 292, in _guarded_task_generation for i, x in enumerate(iterable): File "/usr/lib/python3.7/multiprocessing/pool.py", line 528, in _get_tasks x = tuple(itertools.islice(it, size)) File "/usr/local/lib/python3.7/dist-packages/tqdm/std.py", line 1185, in iter for obj in iterable: File "/usr/local/lib/python3.7/dist-packages/tensorflow_tts/bin/preprocess.py", line 431, in iterator_data yield processor.get_one_sample(item) File "/usr/local/lib/python3.7/dist-packages/tensorflow_tts/processor/libritts.py", line 74, in get_one_sample text_ids = np.asarray(self.text_to_sequence(text), np.int32) File "/usr/local/lib/python3.7/dist-packages/tensorflow_tts/processor/libritts.py", line 98, in text_to_sequence return self.symbols_to_ids(self.clean_g2p(text.split(" "))) File "/usr/local/lib/python3.7/dist-packages/tensorflow_tts/processor/libritts.py", line 106, in symbols_to_ids return [self.symbol_to_id[s] for s in symbols_list] File "/usr/local/lib/python3.7/dist-packages/tensorflow_tts/processor/libritts.py", line 106, in return [self.symbol_to_id[s] for s in symbols_list] KeyError: '@Gallantry'

I have used google colab with gpu as runtime Here's the link to Google Colab Notebook https://colab.research.google.com/drive/1TiEZTlG05MHkIna9P-BuYaNlK5YmyoJ7?usp=sharing

Kindly help me to progress on this issue

[mlrober]

Hi Team,

Is this bug is fixed?

[stale[bot]]

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