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https://github.com/storytold/storyteller-ml.git
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Justin Johnvirtualenv env
source env/bin/activate
pip install -r requirements.txt
python3 fakeyou_infer-v2.py 0 "Path/to/the/input/audio file/Chug_Jug.wav" "Path/to/the/index file/added_IVF2933_Flat_nprobe_10.index" harvest "Path/to/the/output audio file/test_v2.wav" "Path/to/the/trained model/biggie-smalls.pth" 0.66 cuda:0 True 3 0 1 0.33
Example:
python3 fakeyou_infer-v2.py 0 "E:\codes\py39\RVC-beta\todo-songs\1111.wav" "E:\codes\py39\test-20230416b\logs\mi-test-v2\aadded_IVF677_Flat_nprobe_1_v2.index" harvest "test_v2.wav" "E:\codes\py39\test-20230416b\weights\mi-test-v2.pth" 0.66 cuda:0 True 3 0 1 0.33
Each argument passed to the script is used as follows:
f0up_key: The f0 key for the input audio file.
input_path: Path to the input audio file.
index_path: Path to the index file.
f0method: F0 estimation method to be used ('harvest' or 'pm').
opt_path: Path to the output audio file.
model_path: Path to the trained model.
index_rate: The rate for the index.
device: The computation device to be used ('cuda:0' for GPU or 'cpu' for CPU).
is_half: Boolean value indicating whether to use half precision. Use 'True' for half precision and 'False' for full precision.
filter_radius: The radius of the filter.
resample_sr: The sample rate for resampling.
rms_mix_rate: The RMS mix rate.
protect: The protect value.
See fakeyou_infer-v2.py for more info