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speechscore-metrics【效率与协作】Choose, validate, and run SpeechScore objective metrics for intrusive and non-intrusive speech quality assessment.
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Use this sub-skill when a task asks for objective speech quality assessment with SpeechScore: selecting metrics, scoring one enhanced/degraded file against a clean reference, scoring matched test/reference directories, scoring reference-free MOS-style metrics, tuning window/score_rate/return_mean, or interpreting nested result dictionaries.
Start here:
SpeechScore factory, import-layout rules, call parameters, result shapes, and important window/score_rate caveats.reference_path is required.Operating rules:
../clearvoice-inference/ before scoring.../training-and-data-prep/.reference_path from the metric catalog, not from each source class's intrusive attribute; that attribute is inconsistent in this snapshot.--speechscore-dir <speechscore_component_dir> so the helper can import speechscore.py and resolve metric assets.window=None for direct source API calls. Use the bundled helper when windowed scoring or explicit non-fixed metric resampling is required, because the inspected source window branch has a maxlen bug and the direct score_rate argument is not reliably honored for non-fixed metrics.