{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:SLDKB6VEXGTWP7W7GYZT5PWPQK","short_pith_number":"pith:SLDKB6VE","schema_version":"1.0","canonical_sha256":"92c6a0faa4b9a767fedf36333ebecf8290ee2b2b67fd69f478a549d0d583e4b2","source":{"kind":"arxiv","id":"1501.07496","version":1},"attestation_state":"computed","paper":{"title":"Implementation of an Automatic Syllabic Division Algorithm from Speech Files in Portuguese Language","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.DS","eess.AS"],"primary_cat":"cs.SD","authors_text":"E.L.F. Da Silva, H.M. de Oliveira","submitted_at":"2015-01-29T16:09:17Z","abstract_excerpt":"A new algorithm for voice automatic syllabic splitting in the Portuguese language is proposed, which is based on the envelope of the speech signal of the input audio file. A computational implementation in MatlabTM is presented and made available at the URL http://www2.ee.ufpe.br/codec/divisao_silabica.html. Due to its straightforwardness, the proposed method is very attractive for embedded systems (e.g. i-phones). It can also be used as a screen to assist more sophisticated methods. Voice excerpts containing more than one syllable and identified by the same envelope are named as super-syllabl"},"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":"1501.07496","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2015-01-29T16:09:17Z","cross_cats_sorted":["cs.CL","cs.DS","eess.AS"],"title_canon_sha256":"b66c746783d3fb53a102fe21a89197ae9bff397cf1a438c8ab76ce0305f2f024","abstract_canon_sha256":"768819a34b1cd01c2bc144ee9b8470d2aee65fbb4ddd74f075f2ba08da45cc98"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:25:21.688028Z","signature_b64":"z84VUN5fmHjUxc1EiSwIODXPmC/WJOGApZpGIbW6Z1L3SX/Iegcul9hFAdrXeqTZLBkHy0MB/Hx0Nu8zwfz5DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"92c6a0faa4b9a767fedf36333ebecf8290ee2b2b67fd69f478a549d0d583e4b2","last_reissued_at":"2026-05-18T00:25:21.687379Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:25:21.687379Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Implementation of an Automatic Syllabic Division Algorithm from Speech Files in Portuguese Language","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.DS","eess.AS"],"primary_cat":"cs.SD","authors_text":"E.L.F. Da Silva, H.M. de Oliveira","submitted_at":"2015-01-29T16:09:17Z","abstract_excerpt":"A new algorithm for voice automatic syllabic splitting in the Portuguese language is proposed, which is based on the envelope of the speech signal of the input audio file. A computational implementation in MatlabTM is presented and made available at the URL http://www2.ee.ufpe.br/codec/divisao_silabica.html. Due to its straightforwardness, the proposed method is very attractive for embedded systems (e.g. i-phones). It can also be used as a screen to assist more sophisticated methods. Voice excerpts containing more than one syllable and identified by the same envelope are named as super-syllabl"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1501.07496","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":"1501.07496","created_at":"2026-05-18T00:25:21.687507+00:00"},{"alias_kind":"arxiv_version","alias_value":"1501.07496v1","created_at":"2026-05-18T00:25:21.687507+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1501.07496","created_at":"2026-05-18T00:25:21.687507+00:00"},{"alias_kind":"pith_short_12","alias_value":"SLDKB6VEXGTW","created_at":"2026-05-18T12:29:42.218222+00:00"},{"alias_kind":"pith_short_16","alias_value":"SLDKB6VEXGTWP7W7","created_at":"2026-05-18T12:29:42.218222+00:00"},{"alias_kind":"pith_short_8","alias_value":"SLDKB6VE","created_at":"2026-05-18T12:29:42.218222+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/SLDKB6VEXGTWP7W7GYZT5PWPQK","json":"https://pith.science/pith/SLDKB6VEXGTWP7W7GYZT5PWPQK.json","graph_json":"https://pith.science/api/pith-number/SLDKB6VEXGTWP7W7GYZT5PWPQK/graph.json","events_json":"https://pith.science/api/pith-number/SLDKB6VEXGTWP7W7GYZT5PWPQK/events.json","paper":"https://pith.science/paper/SLDKB6VE"},"agent_actions":{"view_html":"https://pith.science/pith/SLDKB6VEXGTWP7W7GYZT5PWPQK","download_json":"https://pith.science/pith/SLDKB6VEXGTWP7W7GYZT5PWPQK.json","view_paper":"https://pith.science/paper/SLDKB6VE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1501.07496&json=true","fetch_graph":"https://pith.science/api/pith-number/SLDKB6VEXGTWP7W7GYZT5PWPQK/graph.json","fetch_events":"https://pith.science/api/pith-number/SLDKB6VEXGTWP7W7GYZT5PWPQK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/SLDKB6VEXGTWP7W7GYZT5PWPQK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/SLDKB6VEXGTWP7W7GYZT5PWPQK/action/storage_attestation","attest_author":"https://pith.science/pith/SLDKB6VEXGTWP7W7GYZT5PWPQK/action/author_attestation","sign_citation":"https://pith.science/pith/SLDKB6VEXGTWP7W7GYZT5PWPQK/action/citation_signature","submit_replication":"https://pith.science/pith/SLDKB6VEXGTWP7W7GYZT5PWPQK/action/replication_record"}},"created_at":"2026-05-18T00:25:21.687507+00:00","updated_at":"2026-05-18T00:25:21.687507+00:00"}