{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:ZNMWSGGSDWOOWOH22UYKQI7VGV","short_pith_number":"pith:ZNMWSGGS","schema_version":"1.0","canonical_sha256":"cb596918d21d9ceb38fad530a823f5354c4f4c5985d4de63bf24cbd28296954d","source":{"kind":"arxiv","id":"2010.13053","version":1},"attestation_state":"computed","paper":{"title":"Speakerfilter-Pro: an improved target speaker extractor combines the time domain and frequency domain","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","eess.AS"],"primary_cat":"cs.SD","authors_text":"Hao Li, Shulin He, Xueliang Zhang","submitted_at":"2020-10-25T07:30:30Z","abstract_excerpt":"This paper introduces an improved target speaker extractor, referred to as Speakerfilter-Pro, based on our previous Speakerfilter model. The Speakerfilter uses a bi-direction gated recurrent unit (BGRU) module to characterize the target speaker from anchor speech and use a convolutional recurrent network (CRN) module to separate the target speech from a noisy signal.Different from the Speakerfilter, the Speakerfilter-Pro sticks a WaveUNet module in the beginning and the ending, respectively. The WaveUNet has been proven to have a better ability to perform speech separation in the time domain. "},"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":"2010.13053","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2020-10-25T07:30:30Z","cross_cats_sorted":["cs.LG","eess.AS"],"title_canon_sha256":"0dc0b43c4fe3af9cd04a9a148c458d64769299d539e46102b99b06ec0112328e","abstract_canon_sha256":"0e6057f812ac83d56f23161dfcef0278e51c69077fd5eeb568b6f8793bfaa92c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:45:51.531708Z","signature_b64":"LecAP5Q3SOiW9U4PTgLVpXmqT+YJ7lqY8562NoOMdYGUIYNypts1oAuPlQkePQmFB2u/+HKRl3mtCUNMJSAODA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cb596918d21d9ceb38fad530a823f5354c4f4c5985d4de63bf24cbd28296954d","last_reissued_at":"2026-07-05T01:45:51.531376Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:45:51.531376Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Speakerfilter-Pro: an improved target speaker extractor combines the time domain and frequency domain","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","eess.AS"],"primary_cat":"cs.SD","authors_text":"Hao Li, Shulin He, Xueliang Zhang","submitted_at":"2020-10-25T07:30:30Z","abstract_excerpt":"This paper introduces an improved target speaker extractor, referred to as Speakerfilter-Pro, based on our previous Speakerfilter model. The Speakerfilter uses a bi-direction gated recurrent unit (BGRU) module to characterize the target speaker from anchor speech and use a convolutional recurrent network (CRN) module to separate the target speech from a noisy signal.Different from the Speakerfilter, the Speakerfilter-Pro sticks a WaveUNet module in the beginning and the ending, respectively. The WaveUNet has been proven to have a better ability to perform speech separation in the time domain. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.13053","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/2010.13053/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":"2010.13053","created_at":"2026-07-05T01:45:51.531432+00:00"},{"alias_kind":"arxiv_version","alias_value":"2010.13053v1","created_at":"2026-07-05T01:45:51.531432+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.13053","created_at":"2026-07-05T01:45:51.531432+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZNMWSGGSDWOO","created_at":"2026-07-05T01:45:51.531432+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZNMWSGGSDWOOWOH2","created_at":"2026-07-05T01:45:51.531432+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZNMWSGGS","created_at":"2026-07-05T01:45:51.531432+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/ZNMWSGGSDWOOWOH22UYKQI7VGV","json":"https://pith.science/pith/ZNMWSGGSDWOOWOH22UYKQI7VGV.json","graph_json":"https://pith.science/api/pith-number/ZNMWSGGSDWOOWOH22UYKQI7VGV/graph.json","events_json":"https://pith.science/api/pith-number/ZNMWSGGSDWOOWOH22UYKQI7VGV/events.json","paper":"https://pith.science/paper/ZNMWSGGS"},"agent_actions":{"view_html":"https://pith.science/pith/ZNMWSGGSDWOOWOH22UYKQI7VGV","download_json":"https://pith.science/pith/ZNMWSGGSDWOOWOH22UYKQI7VGV.json","view_paper":"https://pith.science/paper/ZNMWSGGS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2010.13053&json=true","fetch_graph":"https://pith.science/api/pith-number/ZNMWSGGSDWOOWOH22UYKQI7VGV/graph.json","fetch_events":"https://pith.science/api/pith-number/ZNMWSGGSDWOOWOH22UYKQI7VGV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZNMWSGGSDWOOWOH22UYKQI7VGV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZNMWSGGSDWOOWOH22UYKQI7VGV/action/storage_attestation","attest_author":"https://pith.science/pith/ZNMWSGGSDWOOWOH22UYKQI7VGV/action/author_attestation","sign_citation":"https://pith.science/pith/ZNMWSGGSDWOOWOH22UYKQI7VGV/action/citation_signature","submit_replication":"https://pith.science/pith/ZNMWSGGSDWOOWOH22UYKQI7VGV/action/replication_record"}},"created_at":"2026-07-05T01:45:51.531432+00:00","updated_at":"2026-07-05T01:45:51.531432+00:00"}