{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:AS4XDDZINW4H2D3F4DJFC7NV35","short_pith_number":"pith:AS4XDDZI","schema_version":"1.0","canonical_sha256":"04b9718f286db87d0f65e0d2517db5df6beab4e702909aa359693f2713f0d269","source":{"kind":"arxiv","id":"2011.00803","version":1},"attestation_state":"computed","paper":{"title":"What's All the FUSS About Free Universal Sound Separation Data?","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.AS"],"primary_cat":"cs.SD","authors_text":"Daniel Ellis, Eduardo Fonseca, Hakan Erdogan, John Hershey, Justin Salamon, Nicolas Turpault (MULTISPEECH), Prem Seetharaman, Romain Serizel (MULTISPEECH), Scott Wisdom","submitted_at":"2020-11-02T08:09:34Z","abstract_excerpt":"We introduce the Free Universal Sound Separation (FUSS) dataset, a new corpus for experiments in separating mixtures of an unknown number of sounds from an open domain of sound types. The dataset consists of 23 hours of single-source audio data drawn from 357 classes, which are used to create mixtures of one to four sources. To simulate reverberation, an acoustic room simulator is used to generate impulse responses of box shaped rooms with frequency-dependent reflective walls. Additional open-source data augmentation tools are also provided to produce new mixtures with different combinations o"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2011.00803","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2020-11-02T08:09:34Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"991ed6828a9d7fbf7cc880a5df629b44f981b216390200410b3475026e6d65bf","abstract_canon_sha256":"22a47bbf16029d38f807ee4be73182455121a57d5b9d376b5e6b3f9a367fb932"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:48:19.997500Z","signature_b64":"eHI6VWx81A7fGZ6XF3C2dOkDxTEWFZN8bMOqz7tofvgvtpB17S2rv34uZWm3uyx170nsUFKaOtd1KvCpX8L2Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"04b9718f286db87d0f65e0d2517db5df6beab4e702909aa359693f2713f0d269","last_reissued_at":"2026-07-05T01:48:19.997111Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:48:19.997111Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"What's All the FUSS About Free Universal Sound Separation Data?","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.AS"],"primary_cat":"cs.SD","authors_text":"Daniel Ellis, Eduardo Fonseca, Hakan Erdogan, John Hershey, Justin Salamon, Nicolas Turpault (MULTISPEECH), Prem Seetharaman, Romain Serizel (MULTISPEECH), Scott Wisdom","submitted_at":"2020-11-02T08:09:34Z","abstract_excerpt":"We introduce the Free Universal Sound Separation (FUSS) dataset, a new corpus for experiments in separating mixtures of an unknown number of sounds from an open domain of sound types. The dataset consists of 23 hours of single-source audio data drawn from 357 classes, which are used to create mixtures of one to four sources. To simulate reverberation, an acoustic room simulator is used to generate impulse responses of box shaped rooms with frequency-dependent reflective walls. Additional open-source data augmentation tools are also provided to produce new mixtures with different combinations o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.00803","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2011.00803/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2011.00803","created_at":"2026-07-05T01:48:19.997177+00:00"},{"alias_kind":"arxiv_version","alias_value":"2011.00803v1","created_at":"2026-07-05T01:48:19.997177+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.00803","created_at":"2026-07-05T01:48:19.997177+00:00"},{"alias_kind":"pith_short_12","alias_value":"AS4XDDZINW4H","created_at":"2026-07-05T01:48:19.997177+00:00"},{"alias_kind":"pith_short_16","alias_value":"AS4XDDZINW4H2D3F","created_at":"2026-07-05T01:48:19.997177+00:00"},{"alias_kind":"pith_short_8","alias_value":"AS4XDDZI","created_at":"2026-07-05T01:48:19.997177+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/AS4XDDZINW4H2D3F4DJFC7NV35","json":"https://pith.science/pith/AS4XDDZINW4H2D3F4DJFC7NV35.json","graph_json":"https://pith.science/api/pith-number/AS4XDDZINW4H2D3F4DJFC7NV35/graph.json","events_json":"https://pith.science/api/pith-number/AS4XDDZINW4H2D3F4DJFC7NV35/events.json","paper":"https://pith.science/paper/AS4XDDZI"},"agent_actions":{"view_html":"https://pith.science/pith/AS4XDDZINW4H2D3F4DJFC7NV35","download_json":"https://pith.science/pith/AS4XDDZINW4H2D3F4DJFC7NV35.json","view_paper":"https://pith.science/paper/AS4XDDZI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2011.00803&json=true","fetch_graph":"https://pith.science/api/pith-number/AS4XDDZINW4H2D3F4DJFC7NV35/graph.json","fetch_events":"https://pith.science/api/pith-number/AS4XDDZINW4H2D3F4DJFC7NV35/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/AS4XDDZINW4H2D3F4DJFC7NV35/action/timestamp_anchor","attest_storage":"https://pith.science/pith/AS4XDDZINW4H2D3F4DJFC7NV35/action/storage_attestation","attest_author":"https://pith.science/pith/AS4XDDZINW4H2D3F4DJFC7NV35/action/author_attestation","sign_citation":"https://pith.science/pith/AS4XDDZINW4H2D3F4DJFC7NV35/action/citation_signature","submit_replication":"https://pith.science/pith/AS4XDDZINW4H2D3F4DJFC7NV35/action/replication_record"}},"created_at":"2026-07-05T01:48:19.997177+00:00","updated_at":"2026-07-05T01:48:19.997177+00:00"}