Agent
Analyzes crowdsourced subjective test results — runs resultparser.py for data cleaning, quality checks, and per-clip/per-worker MOS aggregation, and writes a re-runnable rerunresultparser.bat that re-runs resultparser.py.
This is an open-source implementation of the ITU P.808 standard for "Subjective evaluation of speech quality with a crowdsourcing approach" (see https://www.itu.int/rec/T-REC-P.808/en). It uses Amazon Mechanical Turk as the crowdsourcing platform. It includes implementations for Absolute Category Rating (ACR), Degradation Category Rating (DCR), and Comparison Category Rating (CCR).
Agent
Analyzes crowdsourced subjective test results — runs resultparser.py for data cleaning, quality checks, and per-clip/per-worker MOS aggregation, and writes a re-runnable rerunresultparser.bat that re-runs resultparser.py.
Agent
Creates subjective speech quality tests using the P.808 toolkit — handles study setup, gold/trapping clip generation, storage upload, project building for crowdsourcing platforms, prompts for study-specific screen-out completion codes (never reused across studies) and for the internal-vs-general master-script assets…