{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:IPNRWID6BLHTH2XM32WRCVJWPM","short_pith_number":"pith:IPNRWID6","schema_version":"1.0","canonical_sha256":"43db1b207e0acf33eaecdead1155367b25cb6b6baa398bbb7d2e258924f21b22","source":{"kind":"arxiv","id":"1711.09470","version":1},"attestation_state":"computed","paper":{"title":"Realistic multi-microphone data simulation for distant speech recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SD"],"primary_cat":"eess.AS","authors_text":"Maurizio Omologo, Mirco Ravanelli, Piergiorgio Svaizer","submitted_at":"2017-11-26T22:08:50Z","abstract_excerpt":"The availability of realistic simulated corpora is of key importance for the future progress of distant speech recognition technology. The reliability, flexibility and low computational cost of a data simulation process may ultimately allow researchers to train, tune and test different techniques in a variety of acoustic scenarios, avoiding the laborious effort of directly recording real data from the targeted environment.\n  In the last decade, several simulated corpora have been released to the research community, including the data-sets distributed in the context of projects and internationa"},"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":"1711.09470","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2017-11-26T22:08:50Z","cross_cats_sorted":["cs.SD"],"title_canon_sha256":"8711b3db2b0b67dc2b8ce04c03a3b37a9e15c31fd56e4706de6bc31436cfca3c","abstract_canon_sha256":"4dc52f9de2f15fda3635f56a20c9adc230d6c17b00ff16d3093d6641057c2ffd"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:29:35.432218Z","signature_b64":"xeMvVZvuaNCjESs+vgXOBwmtb05PW2aN/JXdIuzazS/kWC7gM9qvUzhKp/ocia1rRcUfOaN8tQD9fdbHFUNzDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"43db1b207e0acf33eaecdead1155367b25cb6b6baa398bbb7d2e258924f21b22","last_reissued_at":"2026-05-18T00:29:35.431705Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:29:35.431705Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Realistic multi-microphone data simulation for distant speech recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SD"],"primary_cat":"eess.AS","authors_text":"Maurizio Omologo, Mirco Ravanelli, Piergiorgio Svaizer","submitted_at":"2017-11-26T22:08:50Z","abstract_excerpt":"The availability of realistic simulated corpora is of key importance for the future progress of distant speech recognition technology. The reliability, flexibility and low computational cost of a data simulation process may ultimately allow researchers to train, tune and test different techniques in a variety of acoustic scenarios, avoiding the laborious effort of directly recording real data from the targeted environment.\n  In the last decade, several simulated corpora have been released to the research community, including the data-sets distributed in the context of projects and internationa"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.09470","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":""},"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":"1711.09470","created_at":"2026-05-18T00:29:35.431801+00:00"},{"alias_kind":"arxiv_version","alias_value":"1711.09470v1","created_at":"2026-05-18T00:29:35.431801+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.09470","created_at":"2026-05-18T00:29:35.431801+00:00"},{"alias_kind":"pith_short_12","alias_value":"IPNRWID6BLHT","created_at":"2026-05-18T12:31:21.493067+00:00"},{"alias_kind":"pith_short_16","alias_value":"IPNRWID6BLHTH2XM","created_at":"2026-05-18T12:31:21.493067+00:00"},{"alias_kind":"pith_short_8","alias_value":"IPNRWID6","created_at":"2026-05-18T12:31:21.493067+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/IPNRWID6BLHTH2XM32WRCVJWPM","json":"https://pith.science/pith/IPNRWID6BLHTH2XM32WRCVJWPM.json","graph_json":"https://pith.science/api/pith-number/IPNRWID6BLHTH2XM32WRCVJWPM/graph.json","events_json":"https://pith.science/api/pith-number/IPNRWID6BLHTH2XM32WRCVJWPM/events.json","paper":"https://pith.science/paper/IPNRWID6"},"agent_actions":{"view_html":"https://pith.science/pith/IPNRWID6BLHTH2XM32WRCVJWPM","download_json":"https://pith.science/pith/IPNRWID6BLHTH2XM32WRCVJWPM.json","view_paper":"https://pith.science/paper/IPNRWID6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1711.09470&json=true","fetch_graph":"https://pith.science/api/pith-number/IPNRWID6BLHTH2XM32WRCVJWPM/graph.json","fetch_events":"https://pith.science/api/pith-number/IPNRWID6BLHTH2XM32WRCVJWPM/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/IPNRWID6BLHTH2XM32WRCVJWPM/action/timestamp_anchor","attest_storage":"https://pith.science/pith/IPNRWID6BLHTH2XM32WRCVJWPM/action/storage_attestation","attest_author":"https://pith.science/pith/IPNRWID6BLHTH2XM32WRCVJWPM/action/author_attestation","sign_citation":"https://pith.science/pith/IPNRWID6BLHTH2XM32WRCVJWPM/action/citation_signature","submit_replication":"https://pith.science/pith/IPNRWID6BLHTH2XM32WRCVJWPM/action/replication_record"}},"created_at":"2026-05-18T00:29:35.431801+00:00","updated_at":"2026-05-18T00:29:35.431801+00:00"}