{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:4HXA5PHX4HYWFJT7DHGLJOX53R","short_pith_number":"pith:4HXA5PHX","schema_version":"1.0","canonical_sha256":"e1ee0ebcf7e1f162a67f19ccb4bafddc6c3933667250ff62ba1bb5682047497a","source":{"kind":"arxiv","id":"1509.04956","version":1},"attestation_state":"computed","paper":{"title":"Melodic Contour and Mid-Level Global Features Applied to the Analysis of Flamenco Cantes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IR"],"primary_cat":"cs.SD","authors_text":"Emilia G\\'omez, Francisco G\\'omez, Joaqu\\'in Mora, Jos\\'e Miguel D\\'iaz-B\\'a\\~nez","submitted_at":"2015-09-16T15:56:22Z","abstract_excerpt":"This work focuses on the topic of melodic characterization and similarity in a specific musical repertoire: a cappella flamenco singing, more specifically in debla and martinete styles. We propose the combination of manual and automatic description. First, we use a state-of-the-art automatic transcription method to account for general melodic similarity from music recordings. Second, we define a specific set of representative mid-level melodic features, which are manually labeled by flamenco experts. Both approaches are then contrasted and combined into a global similarity measure. This simila"},"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":"1509.04956","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2015-09-16T15:56:22Z","cross_cats_sorted":["cs.IR"],"title_canon_sha256":"1508335dbeb513b73254ef9d7e760ce90497702b65d69f4756a3dbae42ca3c78","abstract_canon_sha256":"d19d89a81f7fd113c8f635ec2b0f0077f452d2794461e4d35b98ce24c8f674d2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:32:51.260428Z","signature_b64":"YvIxGY9LU4LLXXrK5NdMOcwxeUQGa/IktMftZ0GgxKg3jCswZojkopUvZI6XTfUqDfCpMHjym58QZl+1REdgBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e1ee0ebcf7e1f162a67f19ccb4bafddc6c3933667250ff62ba1bb5682047497a","last_reissued_at":"2026-05-18T01:32:51.259771Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:32:51.259771Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Melodic Contour and Mid-Level Global Features Applied to the Analysis of Flamenco Cantes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IR"],"primary_cat":"cs.SD","authors_text":"Emilia G\\'omez, Francisco G\\'omez, Joaqu\\'in Mora, Jos\\'e Miguel D\\'iaz-B\\'a\\~nez","submitted_at":"2015-09-16T15:56:22Z","abstract_excerpt":"This work focuses on the topic of melodic characterization and similarity in a specific musical repertoire: a cappella flamenco singing, more specifically in debla and martinete styles. We propose the combination of manual and automatic description. First, we use a state-of-the-art automatic transcription method to account for general melodic similarity from music recordings. Second, we define a specific set of representative mid-level melodic features, which are manually labeled by flamenco experts. Both approaches are then contrasted and combined into a global similarity measure. This simila"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1509.04956","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":""},"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":"1509.04956","created_at":"2026-05-18T01:32:51.259864+00:00"},{"alias_kind":"arxiv_version","alias_value":"1509.04956v1","created_at":"2026-05-18T01:32:51.259864+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1509.04956","created_at":"2026-05-18T01:32:51.259864+00:00"},{"alias_kind":"pith_short_12","alias_value":"4HXA5PHX4HYW","created_at":"2026-05-18T12:29:05.191682+00:00"},{"alias_kind":"pith_short_16","alias_value":"4HXA5PHX4HYWFJT7","created_at":"2026-05-18T12:29:05.191682+00:00"},{"alias_kind":"pith_short_8","alias_value":"4HXA5PHX","created_at":"2026-05-18T12:29:05.191682+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/4HXA5PHX4HYWFJT7DHGLJOX53R","json":"https://pith.science/pith/4HXA5PHX4HYWFJT7DHGLJOX53R.json","graph_json":"https://pith.science/api/pith-number/4HXA5PHX4HYWFJT7DHGLJOX53R/graph.json","events_json":"https://pith.science/api/pith-number/4HXA5PHX4HYWFJT7DHGLJOX53R/events.json","paper":"https://pith.science/paper/4HXA5PHX"},"agent_actions":{"view_html":"https://pith.science/pith/4HXA5PHX4HYWFJT7DHGLJOX53R","download_json":"https://pith.science/pith/4HXA5PHX4HYWFJT7DHGLJOX53R.json","view_paper":"https://pith.science/paper/4HXA5PHX","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1509.04956&json=true","fetch_graph":"https://pith.science/api/pith-number/4HXA5PHX4HYWFJT7DHGLJOX53R/graph.json","fetch_events":"https://pith.science/api/pith-number/4HXA5PHX4HYWFJT7DHGLJOX53R/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4HXA5PHX4HYWFJT7DHGLJOX53R/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4HXA5PHX4HYWFJT7DHGLJOX53R/action/storage_attestation","attest_author":"https://pith.science/pith/4HXA5PHX4HYWFJT7DHGLJOX53R/action/author_attestation","sign_citation":"https://pith.science/pith/4HXA5PHX4HYWFJT7DHGLJOX53R/action/citation_signature","submit_replication":"https://pith.science/pith/4HXA5PHX4HYWFJT7DHGLJOX53R/action/replication_record"}},"created_at":"2026-05-18T01:32:51.259864+00:00","updated_at":"2026-05-18T01:32:51.259864+00:00"}