{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:DXPM7H5KBDOX4OLWDUGH4I2K4Q","short_pith_number":"pith:DXPM7H5K","canonical_record":{"source":{"id":"2210.02732","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.AS","submitted_at":"2022-10-06T07:47:10Z","cross_cats_sorted":[],"title_canon_sha256":"feb99ace82904fd54ea81b8be972cc74af14db17d91e0941f3f0e7e7fb0abd39","abstract_canon_sha256":"bae0bd12dde79062a8702f047db419f0289a3cb09288bbf6499a8480e8392626"},"schema_version":"1.0"},"canonical_sha256":"1ddecf9faa08dd7e39761d0c7e234ae4276eda4877b05e7ece1429547f878938","source":{"kind":"arxiv","id":"2210.02732","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.02732","created_at":"2026-07-05T05:04:15Z"},{"alias_kind":"arxiv_version","alias_value":"2210.02732v2","created_at":"2026-07-05T05:04:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.02732","created_at":"2026-07-05T05:04:15Z"},{"alias_kind":"pith_short_12","alias_value":"DXPM7H5KBDOX","created_at":"2026-07-05T05:04:15Z"},{"alias_kind":"pith_short_16","alias_value":"DXPM7H5KBDOX4OLW","created_at":"2026-07-05T05:04:15Z"},{"alias_kind":"pith_short_8","alias_value":"DXPM7H5K","created_at":"2026-07-05T05:04:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:DXPM7H5KBDOX4OLWDUGH4I2K4Q","target":"record","payload":{"canonical_record":{"source":{"id":"2210.02732","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.AS","submitted_at":"2022-10-06T07:47:10Z","cross_cats_sorted":[],"title_canon_sha256":"feb99ace82904fd54ea81b8be972cc74af14db17d91e0941f3f0e7e7fb0abd39","abstract_canon_sha256":"bae0bd12dde79062a8702f047db419f0289a3cb09288bbf6499a8480e8392626"},"schema_version":"1.0"},"canonical_sha256":"1ddecf9faa08dd7e39761d0c7e234ae4276eda4877b05e7ece1429547f878938","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:04:15.538301Z","signature_b64":"cRVs9BnbXrMu2ewTaFwS9POpqQuAVwKk5SCxJYcHvuOVlH7EqMG56r8kCLre/dF9f2NdZp/AbYg2/Q3M61wdAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1ddecf9faa08dd7e39761d0c7e234ae4276eda4877b05e7ece1429547f878938","last_reissued_at":"2026-07-05T05:04:15.537854Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:04:15.537854Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2210.02732","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":"2026-07-05T05:04:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HsWvJoei8IwXdkWc3J5xHgzppPMvuNDX3DXdRApsiIpuF12dAZAFJYf4Hq+ayvD1P5M++iyca6rrSI//yPABBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T00:57:24.734686Z"},"content_sha256":"ab3322613e3509f7107193c8c226ac92c0210b46fb6b8163a56bd4f515baa967","schema_version":"1.0","event_id":"sha256:ab3322613e3509f7107193c8c226ac92c0210b46fb6b8163a56bd4f515baa967"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:DXPM7H5KBDOX4OLWDUGH4I2K4Q","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fully Unsupervised Training of Few-shot Keyword Spotting","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"eess.AS","authors_text":"Dongjune Lee, Minchan Kim, Min Hyun Han, Nam Soo Kim, Sung Hwan Mun","submitted_at":"2022-10-06T07:47:10Z","abstract_excerpt":"For training a few-shot keyword spotting (FS-KWS) model, a large labeled dataset containing massive target keywords has known to be essential to generalize to arbitrary target keywords with only a few enrollment samples. To alleviate the expensive data collection with labeling, in this paper, we propose a novel FS-KWS system trained only on synthetic data. The proposed system is based on metric learning enabling target keywords to be detected using distance metrics. Exploiting the speech synthesis model that generates speech with pseudo phonemes instead of texts, we easily obtain a large colle"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.02732","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/2210.02732/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":"2026-07-05T05:04:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OZH/GCeB28BPgqYVHbnfXY0IfeunHOopzumz9/70x5iewJ5QtWq67p6IxjrcpThi5nqStk/vR+g8RIMemLC/Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T00:57:24.735629Z"},"content_sha256":"d06736e75c7f9a984f65522b6b9cf01e4b1d776937a43cb2cd874f02496999b5","schema_version":"1.0","event_id":"sha256:d06736e75c7f9a984f65522b6b9cf01e4b1d776937a43cb2cd874f02496999b5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DXPM7H5KBDOX4OLWDUGH4I2K4Q/bundle.json","state_url":"https://pith.science/pith/DXPM7H5KBDOX4OLWDUGH4I2K4Q/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DXPM7H5KBDOX4OLWDUGH4I2K4Q/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":"2026-08-04T00:57:24Z","links":{"resolver":"https://pith.science/pith/DXPM7H5KBDOX4OLWDUGH4I2K4Q","bundle":"https://pith.science/pith/DXPM7H5KBDOX4OLWDUGH4I2K4Q/bundle.json","state":"https://pith.science/pith/DXPM7H5KBDOX4OLWDUGH4I2K4Q/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DXPM7H5KBDOX4OLWDUGH4I2K4Q/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:DXPM7H5KBDOX4OLWDUGH4I2K4Q","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":"bae0bd12dde79062a8702f047db419f0289a3cb09288bbf6499a8480e8392626","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.AS","submitted_at":"2022-10-06T07:47:10Z","title_canon_sha256":"feb99ace82904fd54ea81b8be972cc74af14db17d91e0941f3f0e7e7fb0abd39"},"schema_version":"1.0","source":{"id":"2210.02732","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.02732","created_at":"2026-07-05T05:04:15Z"},{"alias_kind":"arxiv_version","alias_value":"2210.02732v2","created_at":"2026-07-05T05:04:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.02732","created_at":"2026-07-05T05:04:15Z"},{"alias_kind":"pith_short_12","alias_value":"DXPM7H5KBDOX","created_at":"2026-07-05T05:04:15Z"},{"alias_kind":"pith_short_16","alias_value":"DXPM7H5KBDOX4OLW","created_at":"2026-07-05T05:04:15Z"},{"alias_kind":"pith_short_8","alias_value":"DXPM7H5K","created_at":"2026-07-05T05:04:15Z"}],"graph_snapshots":[{"event_id":"sha256:d06736e75c7f9a984f65522b6b9cf01e4b1d776937a43cb2cd874f02496999b5","target":"graph","created_at":"2026-07-05T05:04:15Z","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/2210.02732/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"For training a few-shot keyword spotting (FS-KWS) model, a large labeled dataset containing massive target keywords has known to be essential to generalize to arbitrary target keywords with only a few enrollment samples. To alleviate the expensive data collection with labeling, in this paper, we propose a novel FS-KWS system trained only on synthetic data. The proposed system is based on metric learning enabling target keywords to be detected using distance metrics. Exploiting the speech synthesis model that generates speech with pseudo phonemes instead of texts, we easily obtain a large colle","authors_text":"Dongjune Lee, Minchan Kim, Min Hyun Han, Nam Soo Kim, Sung Hwan Mun","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.AS","submitted_at":"2022-10-06T07:47:10Z","title":"Fully Unsupervised Training of Few-shot Keyword Spotting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.02732","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:ab3322613e3509f7107193c8c226ac92c0210b46fb6b8163a56bd4f515baa967","target":"record","created_at":"2026-07-05T05:04:15Z","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":"bae0bd12dde79062a8702f047db419f0289a3cb09288bbf6499a8480e8392626","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.AS","submitted_at":"2022-10-06T07:47:10Z","title_canon_sha256":"feb99ace82904fd54ea81b8be972cc74af14db17d91e0941f3f0e7e7fb0abd39"},"schema_version":"1.0","source":{"id":"2210.02732","kind":"arxiv","version":2}},"canonical_sha256":"1ddecf9faa08dd7e39761d0c7e234ae4276eda4877b05e7ece1429547f878938","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1ddecf9faa08dd7e39761d0c7e234ae4276eda4877b05e7ece1429547f878938","first_computed_at":"2026-07-05T05:04:15.537854Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:04:15.537854Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cRVs9BnbXrMu2ewTaFwS9POpqQuAVwKk5SCxJYcHvuOVlH7EqMG56r8kCLre/dF9f2NdZp/AbYg2/Q3M61wdAg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:04:15.538301Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.02732","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ab3322613e3509f7107193c8c226ac92c0210b46fb6b8163a56bd4f515baa967","sha256:d06736e75c7f9a984f65522b6b9cf01e4b1d776937a43cb2cd874f02496999b5"],"state_sha256":"87e647529c7402f81b3cf9d1c6db910b6c125199abd18856b282c803b387dd82"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MNgVT2pO+tmqWwq+o/QGZM0oajEDHQGRnXDd/bImY91zUJcUPbEP7qyxKIUrtCmlBW2QLk25IYsFOk64IGnYBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T00:57:24.743705Z","bundle_sha256":"def73aa857e677ae73f0ff4e3e5ac05cfd653210e33368ac6f61e1a68b4f3183"}}