Comments (5)
r9y9
commented on June 12, 2024
Hi, sorry for the reply, and thanks for providing the reproducible code. I will look into the issue this weekend and update you if I have any progress on it.
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r9y9
commented on June 12, 2024
mmorise/World#100 There were two memory issues in Harvest C++ implementation. I submitted a PR to WORLD and hope it will fix the issue.
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taroushirani
commented on June 12, 2024
Thank you for your rapid response. I built pyworld with World-cmake/harvest-memory-fixes and confirmed the problem is solved. I hope this patch is merged into upstream.
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r9y9
commented on June 12, 2024
Glad to know it worked! I’ll make a PR for pyworld after my fixes get merged to upstream.
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r9y9
commented on June 12, 2024
The new pyworld v0.2.10 has been released and this should be solved by the new verison. Please reopn if the problem persists.
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Related Issues (20)
- Improvements related to NNSVS paper
- train_acoustic entry point missing from setup.py HOT 2
- Add DiffSinger configurations and recipes to reproduce experiments reported in NNSVS documentation HOT 6
- Diffusion-based acoustic models HOT 2
- from nnsvs.train_util import NpyFileSource HOT 1
- The combination of NPSSMDNMultistreamParametricModel and BiLSTMResF0NonAttentiveDecoder with use_mdn=True results in training failure HOT 4
- [suggeston] Add an warning for acoustic model config not matching feature generation
- Converting Enunu to NNSVS HOT 3
- A Question HOT 1
- Refactor svs.py to be more modular and extensible for ENUNU
- Remove the trainable post-filter functionality to make code simple
- A separate training script for F0 prediction model HOT 1
- Can nnsvs be run on AMD GPUs via ROCm? HOT 2
- Using Enunu english model on NNSVS HOT 3
- AttributeError: module 'matplotlib' has no attribute 'axes'
- Is it unnecessary to resample the audio which is not 48k to 48k? HOT 2
- !pip install nnsvs HOT 6
- Cannot install nnsvs HOT 2
- (suggestion) Ability to preface Gaussian Diffusion with a user-selectable acoustic model
- ModuleNotFoundError("No module named 'nnsvs.transformer'") HOT 1
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