{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:N6CP6CAVDYKUYSMJYS7FL3PLOA","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":"8c0b5e4a3974dd4685d2f3fbc28d6aee0a586c31a993301a54c6581f3380ac3a","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2018-11-23T04:08:15Z","title_canon_sha256":"c384b214b7a90db0932d2f9a4780a6382982eed93691c99876abbb095f307183"},"schema_version":"1.0","source":{"id":"1811.09355","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.09355","created_at":"2026-05-17T23:46:29Z"},{"alias_kind":"arxiv_version","alias_value":"1811.09355v2","created_at":"2026-05-17T23:46:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.09355","created_at":"2026-05-17T23:46:29Z"},{"alias_kind":"pith_short_12","alias_value":"N6CP6CAVDYKU","created_at":"2026-05-18T12:32:40Z"},{"alias_kind":"pith_short_16","alias_value":"N6CP6CAVDYKUYSMJ","created_at":"2026-05-18T12:32:40Z"},{"alias_kind":"pith_short_8","alias_value":"N6CP6CAV","created_at":"2026-05-18T12:32:40Z"}],"graph_snapshots":[{"event_id":"sha256:4b17111bb5e3920f1402be58a620deea1e69ca87df0a8fed42f8ec1cc5278a5d","target":"graph","created_at":"2026-05-17T23:46:29Z","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":"Under noisy environments, to achieve the robust performance of speaker recognition is still a challenging task. Motivated by the promising performance of multi-task training in a variety of image processing tasks, we explore the potential of multi-task adversarial training for learning a noise-robust speaker embedding. In this paper we present a novel framework which consists of three components: an encoder that extracts noise-robust speaker embedding; a classifier that classifies the speakers; a discriminator that discriminates the noise type of the speaker embedding. Besides, we propose a tr","authors_text":"Bingyin Xia, Jianfeng Zhou, Lin Li, Qingyang Hong, Tao Jiang, Zhe Wang","cross_cats":["eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2018-11-23T04:08:15Z","title":"Training Multi-Task Adversarial Network for Extracting Noise-Robust Speaker Embedding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.09355","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:a938dd6d5214bbe63a123528cb384fe25e3f18dfbef7938040f39628db91b6b0","target":"record","created_at":"2026-05-17T23:46:29Z","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":"8c0b5e4a3974dd4685d2f3fbc28d6aee0a586c31a993301a54c6581f3380ac3a","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2018-11-23T04:08:15Z","title_canon_sha256":"c384b214b7a90db0932d2f9a4780a6382982eed93691c99876abbb095f307183"},"schema_version":"1.0","source":{"id":"1811.09355","kind":"arxiv","version":2}},"canonical_sha256":"6f84ff08151e154c4989c4be55edeb702929dee65bfd9d1624264f44ddef6cff","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6f84ff08151e154c4989c4be55edeb702929dee65bfd9d1624264f44ddef6cff","first_computed_at":"2026-05-17T23:46:29.520701Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:46:29.520701Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kBHmNqHPh+41UX9GhEXoEBBge2Q7rLYqQ33VF+nzY69i59R5qy325SmvXl9xZjsFV3uuJyepYoEVlQCcBozcAA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:46:29.521492Z","signed_message":"canonical_sha256_bytes"},"source_id":"1811.09355","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a938dd6d5214bbe63a123528cb384fe25e3f18dfbef7938040f39628db91b6b0","sha256:4b17111bb5e3920f1402be58a620deea1e69ca87df0a8fed42f8ec1cc5278a5d"],"state_sha256":"5c3662fb3eaf2d911ca543f8e4584d82dbfc761caebf38c38f3e02d6d1153db5"}