{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:XEDTQB2HI4IRMP77OAHDV4FQWQ","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":"65bb777d7451a1f309632ae24181e781aa22e6c41e3ba5284d16218265efa5f1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2018-08-26T15:10:47Z","title_canon_sha256":"df1a398cc7de145dba59be79d122aae79bc95ababfaaf490a85b3b8254cf44ef"},"schema_version":"1.0","source":{"id":"1808.08573","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.08573","created_at":"2026-05-18T00:07:05Z"},{"alias_kind":"arxiv_version","alias_value":"1808.08573v2","created_at":"2026-05-18T00:07:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.08573","created_at":"2026-05-18T00:07:05Z"},{"alias_kind":"pith_short_12","alias_value":"XEDTQB2HI4IR","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_16","alias_value":"XEDTQB2HI4IRMP77","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_8","alias_value":"XEDTQB2H","created_at":"2026-05-18T12:33:01Z"}],"graph_snapshots":[{"event_id":"sha256:b2d07fde7e13e960ce3804e7470162216f2cffe8e8eb46894ccc63163738af4d","target":"graph","created_at":"2026-05-18T00:07:05Z","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":"This paper addresses a relatively new task: prediction of ASR performance on unseen broadcast programs. In a previous paper, we presented an ASR performance prediction system using CNNs that encode both text (ASR transcript) and speech, in order to predict word error rate. This work is dedicated to the analysis of speech signal embeddings and text embeddings learnt by the CNN while training our prediction model. We try to better understand which information is captured by the deep model and its relation with different conditioning factors. It is shown that hidden layers convey a clear signal a","authors_text":"Benjamin Lecouteux, Laurent Besacier, Olivier Galibert, Zied Elloumi","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2018-08-26T15:10:47Z","title":"Analyzing Learned Representations of a Deep ASR Performance Prediction Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.08573","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:f9c399df4cff59873350845265752c606690900fef973d4b789dad0134e067bb","target":"record","created_at":"2026-05-18T00:07:05Z","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":"65bb777d7451a1f309632ae24181e781aa22e6c41e3ba5284d16218265efa5f1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2018-08-26T15:10:47Z","title_canon_sha256":"df1a398cc7de145dba59be79d122aae79bc95ababfaaf490a85b3b8254cf44ef"},"schema_version":"1.0","source":{"id":"1808.08573","kind":"arxiv","version":2}},"canonical_sha256":"b9073807474711163fff700e3af0b0b43d578f643c653978920d7a630bb46912","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b9073807474711163fff700e3af0b0b43d578f643c653978920d7a630bb46912","first_computed_at":"2026-05-18T00:07:05.112759Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:07:05.112759Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"STVIYu0rshb03as7D8xCVnLCr2hwLZlrkKLJYSbAWN03jK7ePCARtlZFSr6v23+itCsYFGgaOh3DLsJlLz87CA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:07:05.113533Z","signed_message":"canonical_sha256_bytes"},"source_id":"1808.08573","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f9c399df4cff59873350845265752c606690900fef973d4b789dad0134e067bb","sha256:b2d07fde7e13e960ce3804e7470162216f2cffe8e8eb46894ccc63163738af4d"],"state_sha256":"9f081594afff0070a4c9d3a4437a4d39257a9522a1ddc9d7eda24162dacb480f"}