{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:NCZ7KOFKPPQZUTTILNJEDWSJVE","short_pith_number":"pith:NCZ7KOFK","canonical_record":{"source":{"id":"1704.02360","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2017-04-10T12:35:33Z","cross_cats_sorted":["cs.CL","cs.LG"],"title_canon_sha256":"a9cf0244da52c1bfa8a1a89d833c40f651174c31d0187780f4a53e4b8e432f35","abstract_canon_sha256":"dc38057281ae4ab48f63829aa2a8481cc0e2cd959653c60c057298473a8bf19c"},"schema_version":"1.0"},"canonical_sha256":"68b3f538aa7be19a4e685b5241da49a91d158ed9880b8a8169e66af36af9ae48","source":{"kind":"arxiv","id":"1704.02360","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.02360","created_at":"2026-05-18T00:38:35Z"},{"alias_kind":"arxiv_version","alias_value":"1704.02360v4","created_at":"2026-05-18T00:38:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.02360","created_at":"2026-05-18T00:38:35Z"},{"alias_kind":"pith_short_12","alias_value":"NCZ7KOFKPPQZ","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_16","alias_value":"NCZ7KOFKPPQZUTTI","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_8","alias_value":"NCZ7KOFK","created_at":"2026-05-18T12:31:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:NCZ7KOFKPPQZUTTILNJEDWSJVE","target":"record","payload":{"canonical_record":{"source":{"id":"1704.02360","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2017-04-10T12:35:33Z","cross_cats_sorted":["cs.CL","cs.LG"],"title_canon_sha256":"a9cf0244da52c1bfa8a1a89d833c40f651174c31d0187780f4a53e4b8e432f35","abstract_canon_sha256":"dc38057281ae4ab48f63829aa2a8481cc0e2cd959653c60c057298473a8bf19c"},"schema_version":"1.0"},"canonical_sha256":"68b3f538aa7be19a4e685b5241da49a91d158ed9880b8a8169e66af36af9ae48","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:38:35.779506Z","signature_b64":"od2MP9UKesC678dHniZga5mCK0SA7fRwvjatF817GUkvwPR9qmLgNsqbaw3PCtMeXbxjmYojXjJS7wZ0nPTYDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"68b3f538aa7be19a4e685b5241da49a91d158ed9880b8a8169e66af36af9ae48","last_reissued_at":"2026-05-18T00:38:35.779163Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:38:35.779163Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1704.02360","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:38:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cLOpybjCU8triH7q6UjhVrPSv1AbFSGw+lY1Xy4zbwdK5Q1vUjpViBOxc1kZtokky6+d13lP4q2c3vyLs2lrCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T21:53:55.330078Z"},"content_sha256":"9c4f998a8559d0b21f26316b87b9a95f0f7ecf4d7b6f781a6463db5955386cb0","schema_version":"1.0","event_id":"sha256:9c4f998a8559d0b21f26316b87b9a95f0f7ecf4d7b6f781a6463db5955386cb0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:NCZ7KOFKPPQZUTTILNJEDWSJVE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Voice Conversion Using Sequence-to-Sequence Learning of Context Posterior Probabilities","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.LG"],"primary_cat":"cs.SD","authors_text":"Hiroshi Saruwatari, Hiroyuki Miyoshi, Shinnosuke Takamichi, Yuki Saito","submitted_at":"2017-04-10T12:35:33Z","abstract_excerpt":"Voice conversion (VC) using sequence-to-sequence learning of context posterior probabilities is proposed. Conventional VC using shared context posterior probabilities predicts target speech parameters from the context posterior probabilities estimated from the source speech parameters. Although conventional VC can be built from non-parallel data, it is difficult to convert speaker individuality such as phonetic property and speaking rate contained in the posterior probabilities because the source posterior probabilities are directly used for predicting target speech parameters. In this work, w"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.02360","kind":"arxiv","version":4},"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":"2026-05-18T00:38:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XkT0ZGny1HJTADA6ehL1nVg7jJebkXTl2wfHCXZCVwyxn2I8Xn10pHwptljUB+fvHVbkr+QmgIcCRrx0aNWoDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T21:53:55.330431Z"},"content_sha256":"98ec3c4efc1e2fc305042dce11d34aae019ef11103c26a8edf452f5545ec7a1e","schema_version":"1.0","event_id":"sha256:98ec3c4efc1e2fc305042dce11d34aae019ef11103c26a8edf452f5545ec7a1e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NCZ7KOFKPPQZUTTILNJEDWSJVE/bundle.json","state_url":"https://pith.science/pith/NCZ7KOFKPPQZUTTILNJEDWSJVE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NCZ7KOFKPPQZUTTILNJEDWSJVE/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":"2026-06-28T21:53:55Z","links":{"resolver":"https://pith.science/pith/NCZ7KOFKPPQZUTTILNJEDWSJVE","bundle":"https://pith.science/pith/NCZ7KOFKPPQZUTTILNJEDWSJVE/bundle.json","state":"https://pith.science/pith/NCZ7KOFKPPQZUTTILNJEDWSJVE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NCZ7KOFKPPQZUTTILNJEDWSJVE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:NCZ7KOFKPPQZUTTILNJEDWSJVE","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":"dc38057281ae4ab48f63829aa2a8481cc0e2cd959653c60c057298473a8bf19c","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2017-04-10T12:35:33Z","title_canon_sha256":"a9cf0244da52c1bfa8a1a89d833c40f651174c31d0187780f4a53e4b8e432f35"},"schema_version":"1.0","source":{"id":"1704.02360","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.02360","created_at":"2026-05-18T00:38:35Z"},{"alias_kind":"arxiv_version","alias_value":"1704.02360v4","created_at":"2026-05-18T00:38:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.02360","created_at":"2026-05-18T00:38:35Z"},{"alias_kind":"pith_short_12","alias_value":"NCZ7KOFKPPQZ","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_16","alias_value":"NCZ7KOFKPPQZUTTI","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_8","alias_value":"NCZ7KOFK","created_at":"2026-05-18T12:31:31Z"}],"graph_snapshots":[{"event_id":"sha256:98ec3c4efc1e2fc305042dce11d34aae019ef11103c26a8edf452f5545ec7a1e","target":"graph","created_at":"2026-05-18T00:38:35Z","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":"Voice conversion (VC) using sequence-to-sequence learning of context posterior probabilities is proposed. Conventional VC using shared context posterior probabilities predicts target speech parameters from the context posterior probabilities estimated from the source speech parameters. Although conventional VC can be built from non-parallel data, it is difficult to convert speaker individuality such as phonetic property and speaking rate contained in the posterior probabilities because the source posterior probabilities are directly used for predicting target speech parameters. In this work, w","authors_text":"Hiroshi Saruwatari, Hiroyuki Miyoshi, Shinnosuke Takamichi, Yuki Saito","cross_cats":["cs.CL","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2017-04-10T12:35:33Z","title":"Voice Conversion Using Sequence-to-Sequence Learning of Context Posterior Probabilities"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.02360","kind":"arxiv","version":4},"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":"sha256:9c4f998a8559d0b21f26316b87b9a95f0f7ecf4d7b6f781a6463db5955386cb0","target":"record","created_at":"2026-05-18T00:38:35Z","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":"dc38057281ae4ab48f63829aa2a8481cc0e2cd959653c60c057298473a8bf19c","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2017-04-10T12:35:33Z","title_canon_sha256":"a9cf0244da52c1bfa8a1a89d833c40f651174c31d0187780f4a53e4b8e432f35"},"schema_version":"1.0","source":{"id":"1704.02360","kind":"arxiv","version":4}},"canonical_sha256":"68b3f538aa7be19a4e685b5241da49a91d158ed9880b8a8169e66af36af9ae48","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"68b3f538aa7be19a4e685b5241da49a91d158ed9880b8a8169e66af36af9ae48","first_computed_at":"2026-05-18T00:38:35.779163Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:38:35.779163Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"od2MP9UKesC678dHniZga5mCK0SA7fRwvjatF817GUkvwPR9qmLgNsqbaw3PCtMeXbxjmYojXjJS7wZ0nPTYDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:38:35.779506Z","signed_message":"canonical_sha256_bytes"},"source_id":"1704.02360","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9c4f998a8559d0b21f26316b87b9a95f0f7ecf4d7b6f781a6463db5955386cb0","sha256:98ec3c4efc1e2fc305042dce11d34aae019ef11103c26a8edf452f5545ec7a1e"],"state_sha256":"705a02c236a02c43198ef9765530c5e9e9b57cc1021cd9319eb72c2b0d7f4163"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"41YNqWWsgnSXTRZlzni53yvYb9Pims1+H8ERLcfm1mcR0OTtDDPycA43DQx2lKucvZHTXBpPyBWqNmAJsH5xAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-28T21:53:55.332590Z","bundle_sha256":"309217981e1d0ce2712249eb0c1cd3a90b25e3ea8d56ba3926aceb583bbbf6db"}}