{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:LEH4N4MGSVH3YUCMCMJXMC45QC","short_pith_number":"pith:LEH4N4MG","canonical_record":{"source":{"id":"1808.08311","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2018-08-24T21:14:40Z","cross_cats_sorted":["cs.LG","eess.AS"],"title_canon_sha256":"e3ceca23e06a1cfd1255f2652ffa51dd357096a654ba8e7cded9775672aa41e6","abstract_canon_sha256":"d1c309d320641e04e64f9c24fdd73e26a3307d3d9c22e735e9460bea0945de86"},"schema_version":"1.0"},"canonical_sha256":"590fc6f186954fbc504c1313760b9d80aa4d99238afe4982092b29fbba3c4df8","source":{"kind":"arxiv","id":"1808.08311","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.08311","created_at":"2026-05-18T00:02:09Z"},{"alias_kind":"arxiv_version","alias_value":"1808.08311v1","created_at":"2026-05-18T00:02:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.08311","created_at":"2026-05-18T00:02:09Z"},{"alias_kind":"pith_short_12","alias_value":"LEH4N4MGSVH3","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_16","alias_value":"LEH4N4MGSVH3YUCM","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_8","alias_value":"LEH4N4MG","created_at":"2026-05-18T12:32:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:LEH4N4MGSVH3YUCMCMJXMC45QC","target":"record","payload":{"canonical_record":{"source":{"id":"1808.08311","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2018-08-24T21:14:40Z","cross_cats_sorted":["cs.LG","eess.AS"],"title_canon_sha256":"e3ceca23e06a1cfd1255f2652ffa51dd357096a654ba8e7cded9775672aa41e6","abstract_canon_sha256":"d1c309d320641e04e64f9c24fdd73e26a3307d3d9c22e735e9460bea0945de86"},"schema_version":"1.0"},"canonical_sha256":"590fc6f186954fbc504c1313760b9d80aa4d99238afe4982092b29fbba3c4df8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:02:09.248059Z","signature_b64":"Wr3tjZYkdATr4TZHbnAMAoDOoF5Bl1AuHUY8hrC4VcgUm0bqj9BATfnJqjnCdR5cAIXKRNV9WV4ggJTlARKIDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"590fc6f186954fbc504c1313760b9d80aa4d99238afe4982092b29fbba3c4df8","last_reissued_at":"2026-05-18T00:02:09.247557Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:02:09.247557Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1808.08311","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":"2026-05-18T00:02:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"E3tkcFTZIxg5Y9Y8ie0V/cifoU3HYmsk0boxShxAEwTrHbJi/4m/kMfr2iBewDGvmglYnV91vOJUp6rq1gFLBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-21T14:24:18.330965Z"},"content_sha256":"17516f4947c1e01496dc9af89f440b5368028431782a432ba1f6381991e99fb3","schema_version":"1.0","event_id":"sha256:17516f4947c1e01496dc9af89f440b5368028431782a432ba1f6381991e99fb3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:LEH4N4MGSVH3YUCMCMJXMC45QC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Voice Conversion with Conditional SampleRNN","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","eess.AS"],"primary_cat":"cs.SD","authors_text":"Cong Zhou, Cristina Vasco, Dan Darcy, Michael Horgan, Vivek Kumar","submitted_at":"2018-08-24T21:14:40Z","abstract_excerpt":"Here we present a novel approach to conditioning the SampleRNN generative model for voice conversion (VC). Conventional methods for VC modify the perceived speaker identity by converting between source and target acoustic features. Our approach focuses on preserving voice content and depends on the generative network to learn voice style. We first train a multi-speaker SampleRNN model conditioned on linguistic features, pitch contour, and speaker identity using a multi-speaker speech corpus. Voice-converted speech is generated using linguistic features and pitch contour extracted from the sour"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.08311","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":"2026-05-18T00:02:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fZ8sDN5kvRNnoHtwOnOol1vo6rQ38CrqrsOhx9Yv+UHj4Uq1VkZhdDA/GVmQsCfVBN7i84jabiEwbgnJ+rD3CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-21T14:24:18.331603Z"},"content_sha256":"6d4b511fb8c6b84637f75a724573c6d391805704c1967273380036da1bf816ed","schema_version":"1.0","event_id":"sha256:6d4b511fb8c6b84637f75a724573c6d391805704c1967273380036da1bf816ed"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LEH4N4MGSVH3YUCMCMJXMC45QC/bundle.json","state_url":"https://pith.science/pith/LEH4N4MGSVH3YUCMCMJXMC45QC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LEH4N4MGSVH3YUCMCMJXMC45QC/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":"2026-05-21T14:24:18Z","links":{"resolver":"https://pith.science/pith/LEH4N4MGSVH3YUCMCMJXMC45QC","bundle":"https://pith.science/pith/LEH4N4MGSVH3YUCMCMJXMC45QC/bundle.json","state":"https://pith.science/pith/LEH4N4MGSVH3YUCMCMJXMC45QC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LEH4N4MGSVH3YUCMCMJXMC45QC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:LEH4N4MGSVH3YUCMCMJXMC45QC","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":"d1c309d320641e04e64f9c24fdd73e26a3307d3d9c22e735e9460bea0945de86","cross_cats_sorted":["cs.LG","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2018-08-24T21:14:40Z","title_canon_sha256":"e3ceca23e06a1cfd1255f2652ffa51dd357096a654ba8e7cded9775672aa41e6"},"schema_version":"1.0","source":{"id":"1808.08311","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.08311","created_at":"2026-05-18T00:02:09Z"},{"alias_kind":"arxiv_version","alias_value":"1808.08311v1","created_at":"2026-05-18T00:02:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.08311","created_at":"2026-05-18T00:02:09Z"},{"alias_kind":"pith_short_12","alias_value":"LEH4N4MGSVH3","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_16","alias_value":"LEH4N4MGSVH3YUCM","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_8","alias_value":"LEH4N4MG","created_at":"2026-05-18T12:32:37Z"}],"graph_snapshots":[{"event_id":"sha256:6d4b511fb8c6b84637f75a724573c6d391805704c1967273380036da1bf816ed","target":"graph","created_at":"2026-05-18T00:02:09Z","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":"Here we present a novel approach to conditioning the SampleRNN generative model for voice conversion (VC). Conventional methods for VC modify the perceived speaker identity by converting between source and target acoustic features. Our approach focuses on preserving voice content and depends on the generative network to learn voice style. We first train a multi-speaker SampleRNN model conditioned on linguistic features, pitch contour, and speaker identity using a multi-speaker speech corpus. Voice-converted speech is generated using linguistic features and pitch contour extracted from the sour","authors_text":"Cong Zhou, Cristina Vasco, Dan Darcy, Michael Horgan, Vivek Kumar","cross_cats":["cs.LG","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2018-08-24T21:14:40Z","title":"Voice Conversion with Conditional SampleRNN"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.08311","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":"sha256:17516f4947c1e01496dc9af89f440b5368028431782a432ba1f6381991e99fb3","target":"record","created_at":"2026-05-18T00:02:09Z","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":"d1c309d320641e04e64f9c24fdd73e26a3307d3d9c22e735e9460bea0945de86","cross_cats_sorted":["cs.LG","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2018-08-24T21:14:40Z","title_canon_sha256":"e3ceca23e06a1cfd1255f2652ffa51dd357096a654ba8e7cded9775672aa41e6"},"schema_version":"1.0","source":{"id":"1808.08311","kind":"arxiv","version":1}},"canonical_sha256":"590fc6f186954fbc504c1313760b9d80aa4d99238afe4982092b29fbba3c4df8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"590fc6f186954fbc504c1313760b9d80aa4d99238afe4982092b29fbba3c4df8","first_computed_at":"2026-05-18T00:02:09.247557Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:02:09.247557Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Wr3tjZYkdATr4TZHbnAMAoDOoF5Bl1AuHUY8hrC4VcgUm0bqj9BATfnJqjnCdR5cAIXKRNV9WV4ggJTlARKIDA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:02:09.248059Z","signed_message":"canonical_sha256_bytes"},"source_id":"1808.08311","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:17516f4947c1e01496dc9af89f440b5368028431782a432ba1f6381991e99fb3","sha256:6d4b511fb8c6b84637f75a724573c6d391805704c1967273380036da1bf816ed"],"state_sha256":"0f9e700a64c90c73a6a0bd363d698b6b0cfa64598be6927ad7e795213333e83a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"S1cplIH/TXgYF2c0BJJ6Dkm4olRBkpUhyq3/LCT7lbpn2V2h3WZD6z8F0tdh3wwBcykGQeiUtpkS4LKqr2pxDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-21T14:24:18.335107Z","bundle_sha256":"9e113a70badb678b0760f05801718c8611bb728035d81893514bff791bdce3e7"}}