{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:JJAL75PICZ4SXRVPDJFK7XAQKQ","short_pith_number":"pith:JJAL75PI","canonical_record":{"source":{"id":"2306.13114","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-06-21T21:33:39Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"d3f9c58a0ea05e343ce2803c0f39343f7d45d7b274d5cca1788b9d12221a688c","abstract_canon_sha256":"6e5394adc900f5956c6311a94a64618a453e1e7a8d34234bfc63e0f148a6c59a"},"schema_version":"1.0"},"canonical_sha256":"4a40bff5e816792bc6af1a4aafdc105431fc23cb6d3ea2434c1fa218509d7b3b","source":{"kind":"arxiv","id":"2306.13114","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.13114","created_at":"2026-07-05T06:24:01Z"},{"alias_kind":"arxiv_version","alias_value":"2306.13114v1","created_at":"2026-07-05T06:24:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.13114","created_at":"2026-07-05T06:24:01Z"},{"alias_kind":"pith_short_12","alias_value":"JJAL75PICZ4S","created_at":"2026-07-05T06:24:01Z"},{"alias_kind":"pith_short_16","alias_value":"JJAL75PICZ4SXRVP","created_at":"2026-07-05T06:24:01Z"},{"alias_kind":"pith_short_8","alias_value":"JJAL75PI","created_at":"2026-07-05T06:24:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:JJAL75PICZ4SXRVPDJFK7XAQKQ","target":"record","payload":{"canonical_record":{"source":{"id":"2306.13114","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-06-21T21:33:39Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"d3f9c58a0ea05e343ce2803c0f39343f7d45d7b274d5cca1788b9d12221a688c","abstract_canon_sha256":"6e5394adc900f5956c6311a94a64618a453e1e7a8d34234bfc63e0f148a6c59a"},"schema_version":"1.0"},"canonical_sha256":"4a40bff5e816792bc6af1a4aafdc105431fc23cb6d3ea2434c1fa218509d7b3b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:24:01.824349Z","signature_b64":"CF8HBeCJPXi7z8EgrbG+iBH++hqbahZP/+K4shRQHCq6ZPi2ZbTq/SvHvXkcnWKNGmuF9cZLsP2eS3lvm0cvAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4a40bff5e816792bc6af1a4aafdc105431fc23cb6d3ea2434c1fa218509d7b3b","last_reissued_at":"2026-07-05T06:24:01.823949Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:24:01.823949Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2306.13114","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:24:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GmsnHGRwdxLv8b33tww/kJVN/V9uzeigVZYw0+CUBbjw4LpZBfWU4P0STPD5AnRqhmENfKtuwG5w9MYyceB8Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T23:24:17.659332Z"},"content_sha256":"62e297f895893b7e5e9fbcb5947a7483d64ead02821ae6322776315fd881b2b0","schema_version":"1.0","event_id":"sha256:62e297f895893b7e5e9fbcb5947a7483d64ead02821ae6322776315fd881b2b0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:JJAL75PICZ4SXRVPDJFK7XAQKQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Reference-less Quality Metric for Automatic Speech Recognition via Contrastive-Learning of a Multi-Language Model with Self-Supervision","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.AS"],"primary_cat":"cs.CL","authors_text":"Ahmet Gunduz, Golara Javadi, Kamer Ali Yuksel, Mohamed Al-Badrashiny, Thiago Ferreira","submitted_at":"2023-06-21T21:33:39Z","abstract_excerpt":"The common standard for quality evaluation of automatic speech recognition (ASR) systems is reference-based metrics such as the Word Error Rate (WER), computed using manual ground-truth transcriptions that are time-consuming and expensive to obtain. This work proposes a multi-language referenceless quality metric, which allows comparing the performance of different ASR models on a speech dataset without ground truth transcriptions. To estimate the quality of ASR hypotheses, a pre-trained language model (LM) is fine-tuned with contrastive learning in a self-supervised learning manner. In experi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.13114","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/2306.13114/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:24:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HEHSZeli6Eht1XAyi+k0aMR4zI2Ew0byjT9012SG7bWzbNrY5wCBN7+xnMYbXDo98JXeSqnb6ua8X6DDj8P1CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T23:24:17.659906Z"},"content_sha256":"2e53cc740a2e8fe12d8ba7be8f2e5c112e3bde8246b3c31f69b3df59e966424e","schema_version":"1.0","event_id":"sha256:2e53cc740a2e8fe12d8ba7be8f2e5c112e3bde8246b3c31f69b3df59e966424e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JJAL75PICZ4SXRVPDJFK7XAQKQ/bundle.json","state_url":"https://pith.science/pith/JJAL75PICZ4SXRVPDJFK7XAQKQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JJAL75PICZ4SXRVPDJFK7XAQKQ/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-20T23:24:17Z","links":{"resolver":"https://pith.science/pith/JJAL75PICZ4SXRVPDJFK7XAQKQ","bundle":"https://pith.science/pith/JJAL75PICZ4SXRVPDJFK7XAQKQ/bundle.json","state":"https://pith.science/pith/JJAL75PICZ4SXRVPDJFK7XAQKQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JJAL75PICZ4SXRVPDJFK7XAQKQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:JJAL75PICZ4SXRVPDJFK7XAQKQ","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":"6e5394adc900f5956c6311a94a64618a453e1e7a8d34234bfc63e0f148a6c59a","cross_cats_sorted":["eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-06-21T21:33:39Z","title_canon_sha256":"d3f9c58a0ea05e343ce2803c0f39343f7d45d7b274d5cca1788b9d12221a688c"},"schema_version":"1.0","source":{"id":"2306.13114","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.13114","created_at":"2026-07-05T06:24:01Z"},{"alias_kind":"arxiv_version","alias_value":"2306.13114v1","created_at":"2026-07-05T06:24:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.13114","created_at":"2026-07-05T06:24:01Z"},{"alias_kind":"pith_short_12","alias_value":"JJAL75PICZ4S","created_at":"2026-07-05T06:24:01Z"},{"alias_kind":"pith_short_16","alias_value":"JJAL75PICZ4SXRVP","created_at":"2026-07-05T06:24:01Z"},{"alias_kind":"pith_short_8","alias_value":"JJAL75PI","created_at":"2026-07-05T06:24:01Z"}],"graph_snapshots":[{"event_id":"sha256:2e53cc740a2e8fe12d8ba7be8f2e5c112e3bde8246b3c31f69b3df59e966424e","target":"graph","created_at":"2026-07-05T06:24:01Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2306.13114/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The common standard for quality evaluation of automatic speech recognition (ASR) systems is reference-based metrics such as the Word Error Rate (WER), computed using manual ground-truth transcriptions that are time-consuming and expensive to obtain. This work proposes a multi-language referenceless quality metric, which allows comparing the performance of different ASR models on a speech dataset without ground truth transcriptions. To estimate the quality of ASR hypotheses, a pre-trained language model (LM) is fine-tuned with contrastive learning in a self-supervised learning manner. In experi","authors_text":"Ahmet Gunduz, Golara Javadi, Kamer Ali Yuksel, Mohamed Al-Badrashiny, Thiago Ferreira","cross_cats":["eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-06-21T21:33:39Z","title":"A Reference-less Quality Metric for Automatic Speech Recognition via Contrastive-Learning of a Multi-Language Model with Self-Supervision"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.13114","kind":"arxiv","version":1},"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":"sha256:62e297f895893b7e5e9fbcb5947a7483d64ead02821ae6322776315fd881b2b0","target":"record","created_at":"2026-07-05T06:24:01Z","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":"6e5394adc900f5956c6311a94a64618a453e1e7a8d34234bfc63e0f148a6c59a","cross_cats_sorted":["eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-06-21T21:33:39Z","title_canon_sha256":"d3f9c58a0ea05e343ce2803c0f39343f7d45d7b274d5cca1788b9d12221a688c"},"schema_version":"1.0","source":{"id":"2306.13114","kind":"arxiv","version":1}},"canonical_sha256":"4a40bff5e816792bc6af1a4aafdc105431fc23cb6d3ea2434c1fa218509d7b3b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4a40bff5e816792bc6af1a4aafdc105431fc23cb6d3ea2434c1fa218509d7b3b","first_computed_at":"2026-07-05T06:24:01.823949Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:24:01.823949Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CF8HBeCJPXi7z8EgrbG+iBH++hqbahZP/+K4shRQHCq6ZPi2ZbTq/SvHvXkcnWKNGmuF9cZLsP2eS3lvm0cvAg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:24:01.824349Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.13114","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:62e297f895893b7e5e9fbcb5947a7483d64ead02821ae6322776315fd881b2b0","sha256:2e53cc740a2e8fe12d8ba7be8f2e5c112e3bde8246b3c31f69b3df59e966424e"],"state_sha256":"38082682d70c4b9ad2b0f22f6a3c1852b25c13b8cdb8edb7bd1aa407de4ccf70"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lrYnf5uCH8KgFmrsyWKThu5AsAnagdQOcvemNTZQvyyIXoh2f/1MD5dnhvocn4K2/3m/bhsvTOiTu1GwlbjqAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T23:24:17.663590Z","bundle_sha256":"dd85542ba11ab997238048500bcf41c94918f80ca8caffd114da9a35141a79d3"}}