{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:3YSYBYATWC7VYXIPNBWPMAM7EE","short_pith_number":"pith:3YSYBYAT","canonical_record":{"source":{"id":"1904.09765","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2019-04-22T08:08:12Z","cross_cats_sorted":["cs.LG","eess.AS","stat.ML"],"title_canon_sha256":"092d52b825d74082da2a15dc0a43fd84b52536225fb8ee2a5bff68bba6799a83","abstract_canon_sha256":"d89317deae372423b80c2b022912efb7299a2394b6fb929e441ad94f48930325"},"schema_version":"1.0"},"canonical_sha256":"de2580e013b0bf5c5d0f686cf6019f212e4fd4d794fcea3d526cafa947b2618d","source":{"kind":"arxiv","id":"1904.09765","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.09765","created_at":"2026-05-17T23:48:03Z"},{"alias_kind":"arxiv_version","alias_value":"1904.09765v1","created_at":"2026-05-17T23:48:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.09765","created_at":"2026-05-17T23:48:03Z"},{"alias_kind":"pith_short_12","alias_value":"3YSYBYATWC7V","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_16","alias_value":"3YSYBYATWC7VYXIP","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_8","alias_value":"3YSYBYAT","created_at":"2026-05-18T12:33:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:3YSYBYATWC7VYXIPNBWPMAM7EE","target":"record","payload":{"canonical_record":{"source":{"id":"1904.09765","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2019-04-22T08:08:12Z","cross_cats_sorted":["cs.LG","eess.AS","stat.ML"],"title_canon_sha256":"092d52b825d74082da2a15dc0a43fd84b52536225fb8ee2a5bff68bba6799a83","abstract_canon_sha256":"d89317deae372423b80c2b022912efb7299a2394b6fb929e441ad94f48930325"},"schema_version":"1.0"},"canonical_sha256":"de2580e013b0bf5c5d0f686cf6019f212e4fd4d794fcea3d526cafa947b2618d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:48:03.409041Z","signature_b64":"EnKqxO3NCTvSYIa3x8DQGbFkNEkzW/d++r1tpC0AWlgJmN1Xha8yUzQ4aAswWKrcS/GbUBlb6Q9RZdpLhpF3DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"de2580e013b0bf5c5d0f686cf6019f212e4fd4d794fcea3d526cafa947b2618d","last_reissued_at":"2026-05-17T23:48:03.408401Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:48:03.408401Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1904.09765","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:48:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DmP1zicTqt06UOsMzVp7ffSa6cZzI7q2DKG+CKc6m9gaosKGhvs0zXRfboJCjk+3T8H3tvV4vxlecYVhNgiqCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-13T18:41:55.372443Z"},"content_sha256":"aa62d5fb941231816906ec5e60e83ce85be81f79e0b7f24536fcd6b9535fee60","schema_version":"1.0","event_id":"sha256:aa62d5fb941231816906ec5e60e83ce85be81f79e0b7f24536fcd6b9535fee60"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:3YSYBYATWC7VYXIPNBWPMAM7EE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"hf0: A hybrid pitch extraction method for multimodal voice","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.LG","eess.AS","stat.ML"],"primary_cat":"cs.SD","authors_text":"Gurunath Reddy M, Krothapalli Sreenivasa Rao, Pradeep Rengaswamy","submitted_at":"2019-04-22T08:08:12Z","abstract_excerpt":"Pitch or fundamental frequency (f0) extraction is a fundamental problem studied extensively for its potential applications in speech and clinical applications. In literature, explicit mode specific (modal speech or singing voice or emotional/ expressive speech or noisy speech) signal processing and deep learning f0 extraction methods that exploit the quasi periodic nature of the signal in time, harmonic property in spectral or combined form to extract the pitch is developed. Hence, there is no single unified method which can reliably extract the pitch from various modes of the acoustic signal."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.09765","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:48:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oMfKOlci/YU5GYA+bMkjh/QDnLR9KQ5aP8PS6Mkdkn4mO6uDjtLqSi2ZiVnrXMN8AqFE59AY+Fup/i90g/w2Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-13T18:41:55.372775Z"},"content_sha256":"d1103d82f937db1a61ae9cac121a6dd7dd4d3715ccb1ab24b33da0cbaf9aa390","schema_version":"1.0","event_id":"sha256:d1103d82f937db1a61ae9cac121a6dd7dd4d3715ccb1ab24b33da0cbaf9aa390"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3YSYBYATWC7VYXIPNBWPMAM7EE/bundle.json","state_url":"https://pith.science/pith/3YSYBYATWC7VYXIPNBWPMAM7EE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3YSYBYATWC7VYXIPNBWPMAM7EE/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-13T18:41:55Z","links":{"resolver":"https://pith.science/pith/3YSYBYATWC7VYXIPNBWPMAM7EE","bundle":"https://pith.science/pith/3YSYBYATWC7VYXIPNBWPMAM7EE/bundle.json","state":"https://pith.science/pith/3YSYBYATWC7VYXIPNBWPMAM7EE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3YSYBYATWC7VYXIPNBWPMAM7EE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:3YSYBYATWC7VYXIPNBWPMAM7EE","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"d89317deae372423b80c2b022912efb7299a2394b6fb929e441ad94f48930325","cross_cats_sorted":["cs.LG","eess.AS","stat.ML"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2019-04-22T08:08:12Z","title_canon_sha256":"092d52b825d74082da2a15dc0a43fd84b52536225fb8ee2a5bff68bba6799a83"},"schema_version":"1.0","source":{"id":"1904.09765","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.09765","created_at":"2026-05-17T23:48:03Z"},{"alias_kind":"arxiv_version","alias_value":"1904.09765v1","created_at":"2026-05-17T23:48:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.09765","created_at":"2026-05-17T23:48:03Z"},{"alias_kind":"pith_short_12","alias_value":"3YSYBYATWC7V","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_16","alias_value":"3YSYBYATWC7VYXIP","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_8","alias_value":"3YSYBYAT","created_at":"2026-05-18T12:33:10Z"}],"graph_snapshots":[{"event_id":"sha256:d1103d82f937db1a61ae9cac121a6dd7dd4d3715ccb1ab24b33da0cbaf9aa390","target":"graph","created_at":"2026-05-17T23:48:03Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Pitch or fundamental frequency (f0) extraction is a fundamental problem studied extensively for its potential applications in speech and clinical applications. In literature, explicit mode specific (modal speech or singing voice or emotional/ expressive speech or noisy speech) signal processing and deep learning f0 extraction methods that exploit the quasi periodic nature of the signal in time, harmonic property in spectral or combined form to extract the pitch is developed. Hence, there is no single unified method which can reliably extract the pitch from various modes of the acoustic signal.","authors_text":"Gurunath Reddy M, Krothapalli Sreenivasa Rao, Pradeep Rengaswamy","cross_cats":["cs.LG","eess.AS","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2019-04-22T08:08:12Z","title":"hf0: A hybrid pitch extraction method for multimodal voice"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.09765","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:aa62d5fb941231816906ec5e60e83ce85be81f79e0b7f24536fcd6b9535fee60","target":"record","created_at":"2026-05-17T23:48:03Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"d89317deae372423b80c2b022912efb7299a2394b6fb929e441ad94f48930325","cross_cats_sorted":["cs.LG","eess.AS","stat.ML"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2019-04-22T08:08:12Z","title_canon_sha256":"092d52b825d74082da2a15dc0a43fd84b52536225fb8ee2a5bff68bba6799a83"},"schema_version":"1.0","source":{"id":"1904.09765","kind":"arxiv","version":1}},"canonical_sha256":"de2580e013b0bf5c5d0f686cf6019f212e4fd4d794fcea3d526cafa947b2618d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"de2580e013b0bf5c5d0f686cf6019f212e4fd4d794fcea3d526cafa947b2618d","first_computed_at":"2026-05-17T23:48:03.408401Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:48:03.408401Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EnKqxO3NCTvSYIa3x8DQGbFkNEkzW/d++r1tpC0AWlgJmN1Xha8yUzQ4aAswWKrcS/GbUBlb6Q9RZdpLhpF3DA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:48:03.409041Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.09765","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:aa62d5fb941231816906ec5e60e83ce85be81f79e0b7f24536fcd6b9535fee60","sha256:d1103d82f937db1a61ae9cac121a6dd7dd4d3715ccb1ab24b33da0cbaf9aa390"],"state_sha256":"8909833fabee08807e290b18127fec92f11c36bde8d5eee9f61c553982afb7cd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vj9mmdA9RaKMdKv7/0/4uwYZr5ErWlPdVA68HZAZfa90yc9f2pRh/rXCn+j4y/yfGQQv8Rj1EOWCh24ktgUCDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-13T18:41:55.375645Z","bundle_sha256":"8c07da5cd5b00ddaffc2d54f897741543e93a7893c0df9baab02b6cdb62b3b10"}}