import torch
from torchmetrics.audio import ShortTimeObjectiveIntelligibility
metric = ShortTimeObjectiveIntelligibility(8000, False)
g = torch.manual_seed(1)
preds = torch.randn(8000)
target = torch.randn(8000)
values = [ ]
for _ in range(10):
    values.append(metric(preds, target))
fig_, ax_ = metric.plot(values)