A Non-Autoregressive Transformer based Text-to-Speech, supporting a family of SOTA transformers with supervised and unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate TTS
█████████| 137/137 [18:49:05<00:00, 494.49s/it]
Computing statistic quantities ...
Traceback (most recent call last):
File "preprocess.py", line 19, in
preprocessor.build_from_path()
File "/GPUFS/sysu_hpcedu_123/Comprehensive-Transformer-TTS/preprocessor/preprocessor.py", line 267, in build_from_path
f0s_sup_stats = compute_f0_stats(f0s_sup)
File "/GPUFS/sysu_hpcedu_123/Comprehensive-Transformer-TTS/preprocessor/preprocessor.py", line 145, in compute_f0_stats return (f0_mean, f0_std)
UnboundLocalError: local variable 'f0_mean' referenced before assignment
It crashed after a long time I run prerprocess
For dataset,I use a dataset which simliar as VCTK but chinese,and It did not throw any error before this step.
Could anyone can help me?
█████████| 137/137 [18:49:05<00:00, 494.49s/it]
Computing statistic quantities ...
Traceback (most recent call last):
File "preprocess.py", line 19, in
preprocessor.build_from_path()
File "/GPUFS/sysu_hpcedu_123/Comprehensive-Transformer-TTS/preprocessor/preprocessor.py", line 267, in build_from_path f0s_sup_stats = compute_f0_stats(f0s_sup)
File "/GPUFS/sysu_hpcedu_123/Comprehensive-Transformer-TTS/preprocessor/preprocessor.py", line 145, in compute_f0_stats return (f0_mean, f0_std) UnboundLocalError: local variable 'f0_mean' referenced before assignment
It crashed after a long time I run prerprocess For dataset,I use a dataset which simliar as VCTK but chinese,and It did not throw any error before this step. Could anyone can help me?