{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:7UFLXQEUIFXKQ2NPU65F4KSG4R","short_pith_number":"pith:7UFLXQEU","schema_version":"1.0","canonical_sha256":"fd0abbc094416ea869afa7ba5e2a46e44611e48ff1e07ba025b34696d3d007ba","source":{"kind":"arxiv","id":"2005.08138","version":1},"attestation_state":"computed","paper":{"title":"An Open source Implementation of ITU-T Recommendation P.808 with Validation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SD"],"primary_cat":"eess.AS","authors_text":"Babak Naderi, Ross Cutler","submitted_at":"2020-05-17T00:41:22Z","abstract_excerpt":"The ITU-T Recommendation P.808 provides a crowdsourcing approach for conducting a subjective assessment of speech quality using the Absolute Category Rating (ACR) method. We provide an open-source implementation of the ITU-T Rec. P.808 that runs on the Amazon Mechanical Turk platform. We extended our implementation to include Degradation Category Ratings (DCR) and Comparison Category Ratings (CCR) test methods. We also significantly speed up the test process by integrating the participant qualification step into the main rating task compared to a two-stage qualification and rating solution. We"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2005.08138","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2020-05-17T00:41:22Z","cross_cats_sorted":["cs.SD"],"title_canon_sha256":"0e81fbf8ba0c360101ae8fa309c1a9584eb90728472c107186130a531cfa4e6d","abstract_canon_sha256":"775a63736bfef3b21ac778998af4d32f4c6f11268de2e0807c2e6ff53cc7204a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:49:03.119987Z","signature_b64":"PyqtxFpMuwAVM+yhNrLhAwyXaHbA+j5PmaKja95kDytgkpJDM+CNo6GxA0xfji01bjSad7/TRxBLcIRKXSRFDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fd0abbc094416ea869afa7ba5e2a46e44611e48ff1e07ba025b34696d3d007ba","last_reissued_at":"2026-07-05T01:49:03.119539Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:49:03.119539Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"An Open source Implementation of ITU-T Recommendation P.808 with Validation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SD"],"primary_cat":"eess.AS","authors_text":"Babak Naderi, Ross Cutler","submitted_at":"2020-05-17T00:41:22Z","abstract_excerpt":"The ITU-T Recommendation P.808 provides a crowdsourcing approach for conducting a subjective assessment of speech quality using the Absolute Category Rating (ACR) method. We provide an open-source implementation of the ITU-T Rec. P.808 that runs on the Amazon Mechanical Turk platform. We extended our implementation to include Degradation Category Ratings (DCR) and Comparison Category Ratings (CCR) test methods. We also significantly speed up the test process by integrating the participant qualification step into the main rating task compared to a two-stage qualification and rating solution. We"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.08138","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2005.08138/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2005.08138","created_at":"2026-07-05T01:49:03.119592+00:00"},{"alias_kind":"arxiv_version","alias_value":"2005.08138v1","created_at":"2026-07-05T01:49:03.119592+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.08138","created_at":"2026-07-05T01:49:03.119592+00:00"},{"alias_kind":"pith_short_12","alias_value":"7UFLXQEUIFXK","created_at":"2026-07-05T01:49:03.119592+00:00"},{"alias_kind":"pith_short_16","alias_value":"7UFLXQEUIFXKQ2NP","created_at":"2026-07-05T01:49:03.119592+00:00"},{"alias_kind":"pith_short_8","alias_value":"7UFLXQEU","created_at":"2026-07-05T01:49:03.119592+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":2,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2607.08111","citing_title":"PS4: Proxy-Supervised Joint Training for Real Target Speaker Extraction","ref_index":28,"is_internal_anchor":true},{"citing_arxiv_id":"2604.24416","citing_title":"Scaling Properties of Continuous Diffusion Spoken Language Models","ref_index":70,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/7UFLXQEUIFXKQ2NPU65F4KSG4R","json":"https://pith.science/pith/7UFLXQEUIFXKQ2NPU65F4KSG4R.json","graph_json":"https://pith.science/api/pith-number/7UFLXQEUIFXKQ2NPU65F4KSG4R/graph.json","events_json":"https://pith.science/api/pith-number/7UFLXQEUIFXKQ2NPU65F4KSG4R/events.json","paper":"https://pith.science/paper/7UFLXQEU"},"agent_actions":{"view_html":"https://pith.science/pith/7UFLXQEUIFXKQ2NPU65F4KSG4R","download_json":"https://pith.science/pith/7UFLXQEUIFXKQ2NPU65F4KSG4R.json","view_paper":"https://pith.science/paper/7UFLXQEU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2005.08138&json=true","fetch_graph":"https://pith.science/api/pith-number/7UFLXQEUIFXKQ2NPU65F4KSG4R/graph.json","fetch_events":"https://pith.science/api/pith-number/7UFLXQEUIFXKQ2NPU65F4KSG4R/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7UFLXQEUIFXKQ2NPU65F4KSG4R/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7UFLXQEUIFXKQ2NPU65F4KSG4R/action/storage_attestation","attest_author":"https://pith.science/pith/7UFLXQEUIFXKQ2NPU65F4KSG4R/action/author_attestation","sign_citation":"https://pith.science/pith/7UFLXQEUIFXKQ2NPU65F4KSG4R/action/citation_signature","submit_replication":"https://pith.science/pith/7UFLXQEUIFXKQ2NPU65F4KSG4R/action/replication_record"}},"created_at":"2026-07-05T01:49:03.119592+00:00","updated_at":"2026-07-05T01:49:03.119592+00:00"}