{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:LWWRRWKSXK6SEAB6UMYRJE2IUK","short_pith_number":"pith:LWWRRWKS","canonical_record":{"source":{"id":"1910.03713","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-10-08T23:22:50Z","cross_cats_sorted":["cs.LG","cs.SD"],"title_canon_sha256":"2c17a28c204c297c468e93dfa810f437d5b77b05022ac6e8dc8ed0be91841059","abstract_canon_sha256":"3cf1034ec1d898155cd6e3b3814c5e658250239637336552b21fdf6df7fd6e11"},"schema_version":"1.0"},"canonical_sha256":"5dad18d952babd22003ea331149348a2b95543080319e3b38f365b94d651284d","source":{"kind":"arxiv","id":"1910.03713","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1910.03713","created_at":"2026-07-05T00:24:09Z"},{"alias_kind":"arxiv_version","alias_value":"1910.03713v2","created_at":"2026-07-05T00:24:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1910.03713","created_at":"2026-07-05T00:24:09Z"},{"alias_kind":"pith_short_12","alias_value":"LWWRRWKSXK6S","created_at":"2026-07-05T00:24:09Z"},{"alias_kind":"pith_short_16","alias_value":"LWWRRWKSXK6SEAB6","created_at":"2026-07-05T00:24:09Z"},{"alias_kind":"pith_short_8","alias_value":"LWWRRWKS","created_at":"2026-07-05T00:24:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:LWWRRWKSXK6SEAB6UMYRJE2IUK","target":"record","payload":{"canonical_record":{"source":{"id":"1910.03713","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-10-08T23:22:50Z","cross_cats_sorted":["cs.LG","cs.SD"],"title_canon_sha256":"2c17a28c204c297c468e93dfa810f437d5b77b05022ac6e8dc8ed0be91841059","abstract_canon_sha256":"3cf1034ec1d898155cd6e3b3814c5e658250239637336552b21fdf6df7fd6e11"},"schema_version":"1.0"},"canonical_sha256":"5dad18d952babd22003ea331149348a2b95543080319e3b38f365b94d651284d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:24:09.996101Z","signature_b64":"cVnQo5hJGzqMP23oJa+esJfu3xd9/hPQ4Se8Oup7zd4lDkpmBpU0E+IRoRI5yL8K9ii8qzIIw7IQ1iE6ShE9Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5dad18d952babd22003ea331149348a2b95543080319e3b38f365b94d651284d","last_reissued_at":"2026-07-05T00:24:09.995731Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:24:09.995731Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1910.03713","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T00:24:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PR/nzXG2myQ6M3nFSbT71Up8hr0sTkCHD2GXgPiQRdCqKTu1n4FkD174fo4t0DBzPlVQq/ny1Q5CTCPFcsKPAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T08:06:25.405438Z"},"content_sha256":"75fcf15ad9211752ddcff207e226cb91a96f84728ab76416008a17af193ae2fc","schema_version":"1.0","event_id":"sha256:75fcf15ad9211752ddcff207e226cb91a96f84728ab76416008a17af193ae2fc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:LWWRRWKSXK6SEAB6UMYRJE2IUK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MelGAN-VC: Voice Conversion and Audio Style Transfer on arbitrarily long samples using Spectrograms","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.SD"],"primary_cat":"eess.AS","authors_text":"Marco Pasini","submitted_at":"2019-10-08T23:22:50Z","abstract_excerpt":"Traditional voice conversion methods rely on parallel recordings of multiple speakers pronouncing the same sentences. For real-world applications however, parallel data is rarely available. We propose MelGAN-VC, a voice conversion method that relies on non-parallel speech data and is able to convert audio signals of arbitrary length from a source voice to a target voice. We firstly compute spectrograms from waveform data and then perform a domain translation using a Generative Adversarial Network (GAN) architecture. An additional siamese network helps preserving speech information in the trans"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1910.03713","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/1910.03713/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T00:24:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dmLI5iqTseUGXJopSadTCUeUQsLBzh/2PGRPpugCmqHJZxIsh+2sY1gazUkN/+gimzBFtNu//0DlbiQb6xumDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T08:06:25.406059Z"},"content_sha256":"7ac1775fff0ce4c9ac5590ca213d7674bc187fbbad16a85a8e7a742fea84d452","schema_version":"1.0","event_id":"sha256:7ac1775fff0ce4c9ac5590ca213d7674bc187fbbad16a85a8e7a742fea84d452"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LWWRRWKSXK6SEAB6UMYRJE2IUK/bundle.json","state_url":"https://pith.science/pith/LWWRRWKSXK6SEAB6UMYRJE2IUK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LWWRRWKSXK6SEAB6UMYRJE2IUK/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":"2026-08-13T08:06:25Z","links":{"resolver":"https://pith.science/pith/LWWRRWKSXK6SEAB6UMYRJE2IUK","bundle":"https://pith.science/pith/LWWRRWKSXK6SEAB6UMYRJE2IUK/bundle.json","state":"https://pith.science/pith/LWWRRWKSXK6SEAB6UMYRJE2IUK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LWWRRWKSXK6SEAB6UMYRJE2IUK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:LWWRRWKSXK6SEAB6UMYRJE2IUK","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":"3cf1034ec1d898155cd6e3b3814c5e658250239637336552b21fdf6df7fd6e11","cross_cats_sorted":["cs.LG","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-10-08T23:22:50Z","title_canon_sha256":"2c17a28c204c297c468e93dfa810f437d5b77b05022ac6e8dc8ed0be91841059"},"schema_version":"1.0","source":{"id":"1910.03713","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1910.03713","created_at":"2026-07-05T00:24:09Z"},{"alias_kind":"arxiv_version","alias_value":"1910.03713v2","created_at":"2026-07-05T00:24:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1910.03713","created_at":"2026-07-05T00:24:09Z"},{"alias_kind":"pith_short_12","alias_value":"LWWRRWKSXK6S","created_at":"2026-07-05T00:24:09Z"},{"alias_kind":"pith_short_16","alias_value":"LWWRRWKSXK6SEAB6","created_at":"2026-07-05T00:24:09Z"},{"alias_kind":"pith_short_8","alias_value":"LWWRRWKS","created_at":"2026-07-05T00:24:09Z"}],"graph_snapshots":[{"event_id":"sha256:7ac1775fff0ce4c9ac5590ca213d7674bc187fbbad16a85a8e7a742fea84d452","target":"graph","created_at":"2026-07-05T00:24:09Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/1910.03713/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Traditional voice conversion methods rely on parallel recordings of multiple speakers pronouncing the same sentences. For real-world applications however, parallel data is rarely available. We propose MelGAN-VC, a voice conversion method that relies on non-parallel speech data and is able to convert audio signals of arbitrary length from a source voice to a target voice. We firstly compute spectrograms from waveform data and then perform a domain translation using a Generative Adversarial Network (GAN) architecture. An additional siamese network helps preserving speech information in the trans","authors_text":"Marco Pasini","cross_cats":["cs.LG","cs.SD"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-10-08T23:22:50Z","title":"MelGAN-VC: Voice Conversion and Audio Style Transfer on arbitrarily long samples using Spectrograms"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1910.03713","kind":"arxiv","version":2},"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":"sha256:75fcf15ad9211752ddcff207e226cb91a96f84728ab76416008a17af193ae2fc","target":"record","created_at":"2026-07-05T00:24:09Z","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":"3cf1034ec1d898155cd6e3b3814c5e658250239637336552b21fdf6df7fd6e11","cross_cats_sorted":["cs.LG","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-10-08T23:22:50Z","title_canon_sha256":"2c17a28c204c297c468e93dfa810f437d5b77b05022ac6e8dc8ed0be91841059"},"schema_version":"1.0","source":{"id":"1910.03713","kind":"arxiv","version":2}},"canonical_sha256":"5dad18d952babd22003ea331149348a2b95543080319e3b38f365b94d651284d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5dad18d952babd22003ea331149348a2b95543080319e3b38f365b94d651284d","first_computed_at":"2026-07-05T00:24:09.995731Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:24:09.995731Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cVnQo5hJGzqMP23oJa+esJfu3xd9/hPQ4Se8Oup7zd4lDkpmBpU0E+IRoRI5yL8K9ii8qzIIw7IQ1iE6ShE9Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:24:09.996101Z","signed_message":"canonical_sha256_bytes"},"source_id":"1910.03713","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:75fcf15ad9211752ddcff207e226cb91a96f84728ab76416008a17af193ae2fc","sha256:7ac1775fff0ce4c9ac5590ca213d7674bc187fbbad16a85a8e7a742fea84d452"],"state_sha256":"562a0faefe10b26974a91b99b7fba7155dee9ba15306d50f82ef17365ba5d3fc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"obam7zLgmXISYPTyQow96AaKp8s2L8btbvmEO4WOTpt+8OkRwXE0QiwbQlShvw6ILHWY3LB9Ju+7j9Eq6v6ACg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T08:06:25.410276Z","bundle_sha256":"89cacea6c0ac62d58e73cfd5e8473410a74d61aa8f79e3078d09dcee5482aa8d"}}