Task Specific Metric Computation And Result Aggregation

via “metric computation and evaluation with task-specific measures”

PyTorch toolkit for all speech processing tasks.

Unique: Integrates task-specific metric computation (WER, EER, MCD) directly into the training loop via the `compute_metrics()` method, enabling automatic evaluation without separate evaluation scripts. Unlike manual metric computation, this approach ensures consistent evaluation across training and test sets.

vs others: More convenient than computing metrics separately, more consistent than manual evaluation, and enables easy comparison of models using standard metrics.