{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:V7U7VWISJ4LEF7I6GEF67I6BVE","short_pith_number":"pith:V7U7VWIS","schema_version":"1.0","canonical_sha256":"afe9fad9124f1642fd1e310befa3c1a92b1d6cf6423f23066e1c15042802de08","source":{"kind":"arxiv","id":"2002.09748","version":1},"attestation_state":"computed","paper":{"title":"DECIBEL: Improving Audio Chord Estimation for Popular Music by Alignment and Integration of Crowd-Sourced Symbolic Representations","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.MM","eess.AS"],"primary_cat":"cs.SD","authors_text":"Anja Volk, Daphne Odekerken, Hendrik Vincent Koops","submitted_at":"2020-02-22T18:42:00Z","abstract_excerpt":"Automatic Chord Estimation (ACE) is a fundamental task in Music Information Retrieval (MIR) and has applications in both music performance and MIR research. The task consists of segmenting a music recording or score and assigning a chord label to each segment. Although it has been a task in the annual benchmarking evaluation MIREX for over 10 years, ACE is not yet a solved problem, since performance has stagnated and modern systems have started to tune themselves to subjective training data. We propose DECIBEL, a new ACE system that exploits widely available MIDI and tab representations to imp"},"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":"2002.09748","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2020-02-22T18:42:00Z","cross_cats_sorted":["cs.MM","eess.AS"],"title_canon_sha256":"c30cf9f2f49c9edb06bbf9dfd5570c3059504cf81557d9b7e185a36b658d07fe","abstract_canon_sha256":"d916aa8d14479d7199266f2cefda2ca99b5b267a945728e8861d3360f601ac5d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:43:11.374907Z","signature_b64":"PyA1F89ClXABSyC62l4pMBrXSzpeV/SMk1ZOCuFxCByVofm7uMkwX+RqbdM3KXb4vQ0E9sTX+xmiPbE+lwsRCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"afe9fad9124f1642fd1e310befa3c1a92b1d6cf6423f23066e1c15042802de08","last_reissued_at":"2026-07-05T00:43:11.374502Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:43:11.374502Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"DECIBEL: Improving Audio Chord Estimation for Popular Music by Alignment and Integration of Crowd-Sourced Symbolic Representations","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.MM","eess.AS"],"primary_cat":"cs.SD","authors_text":"Anja Volk, Daphne Odekerken, Hendrik Vincent Koops","submitted_at":"2020-02-22T18:42:00Z","abstract_excerpt":"Automatic Chord Estimation (ACE) is a fundamental task in Music Information Retrieval (MIR) and has applications in both music performance and MIR research. The task consists of segmenting a music recording or score and assigning a chord label to each segment. Although it has been a task in the annual benchmarking evaluation MIREX for over 10 years, ACE is not yet a solved problem, since performance has stagnated and modern systems have started to tune themselves to subjective training data. We propose DECIBEL, a new ACE system that exploits widely available MIDI and tab representations to imp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.09748","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/2002.09748/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":"2002.09748","created_at":"2026-07-05T00:43:11.374552+00:00"},{"alias_kind":"arxiv_version","alias_value":"2002.09748v1","created_at":"2026-07-05T00:43:11.374552+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.09748","created_at":"2026-07-05T00:43:11.374552+00:00"},{"alias_kind":"pith_short_12","alias_value":"V7U7VWISJ4LE","created_at":"2026-07-05T00:43:11.374552+00:00"},{"alias_kind":"pith_short_16","alias_value":"V7U7VWISJ4LEF7I6","created_at":"2026-07-05T00:43:11.374552+00:00"},{"alias_kind":"pith_short_8","alias_value":"V7U7VWIS","created_at":"2026-07-05T00:43:11.374552+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/V7U7VWISJ4LEF7I6GEF67I6BVE","json":"https://pith.science/pith/V7U7VWISJ4LEF7I6GEF67I6BVE.json","graph_json":"https://pith.science/api/pith-number/V7U7VWISJ4LEF7I6GEF67I6BVE/graph.json","events_json":"https://pith.science/api/pith-number/V7U7VWISJ4LEF7I6GEF67I6BVE/events.json","paper":"https://pith.science/paper/V7U7VWIS"},"agent_actions":{"view_html":"https://pith.science/pith/V7U7VWISJ4LEF7I6GEF67I6BVE","download_json":"https://pith.science/pith/V7U7VWISJ4LEF7I6GEF67I6BVE.json","view_paper":"https://pith.science/paper/V7U7VWIS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2002.09748&json=true","fetch_graph":"https://pith.science/api/pith-number/V7U7VWISJ4LEF7I6GEF67I6BVE/graph.json","fetch_events":"https://pith.science/api/pith-number/V7U7VWISJ4LEF7I6GEF67I6BVE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/V7U7VWISJ4LEF7I6GEF67I6BVE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/V7U7VWISJ4LEF7I6GEF67I6BVE/action/storage_attestation","attest_author":"https://pith.science/pith/V7U7VWISJ4LEF7I6GEF67I6BVE/action/author_attestation","sign_citation":"https://pith.science/pith/V7U7VWISJ4LEF7I6GEF67I6BVE/action/citation_signature","submit_replication":"https://pith.science/pith/V7U7VWISJ4LEF7I6GEF67I6BVE/action/replication_record"}},"created_at":"2026-07-05T00:43:11.374552+00:00","updated_at":"2026-07-05T00:43:11.374552+00:00"}