{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2012:FHYEJZOGW76C7YETQKEQ5YYYDH","short_pith_number":"pith:FHYEJZOG","canonical_record":{"source":{"id":"1209.4535","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2012-09-20T14:06:32Z","cross_cats_sorted":[],"title_canon_sha256":"6217ad6a243eee71a2011ff958da3078d7ff9c8f6f5f4b1bbf90586bc8da67a3","abstract_canon_sha256":"664038b11d59009cfa7ca6750d6b08480567dfdfbcfc589245154730e68bac1a"},"schema_version":"1.0"},"canonical_sha256":"29f044e5c6b7fc2fe09382890ee31819c44732c94638b3e10701ad3845ab1655","source":{"kind":"arxiv","id":"1209.4535","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1209.4535","created_at":"2026-05-18T03:45:11Z"},{"alias_kind":"arxiv_version","alias_value":"1209.4535v1","created_at":"2026-05-18T03:45:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1209.4535","created_at":"2026-05-18T03:45:11Z"},{"alias_kind":"pith_short_12","alias_value":"FHYEJZOGW76C","created_at":"2026-05-18T12:27:06Z"},{"alias_kind":"pith_short_16","alias_value":"FHYEJZOGW76C7YET","created_at":"2026-05-18T12:27:06Z"},{"alias_kind":"pith_short_8","alias_value":"FHYEJZOG","created_at":"2026-05-18T12:27:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2012:FHYEJZOGW76C7YETQKEQ5YYYDH","target":"record","payload":{"canonical_record":{"source":{"id":"1209.4535","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2012-09-20T14:06:32Z","cross_cats_sorted":[],"title_canon_sha256":"6217ad6a243eee71a2011ff958da3078d7ff9c8f6f5f4b1bbf90586bc8da67a3","abstract_canon_sha256":"664038b11d59009cfa7ca6750d6b08480567dfdfbcfc589245154730e68bac1a"},"schema_version":"1.0"},"canonical_sha256":"29f044e5c6b7fc2fe09382890ee31819c44732c94638b3e10701ad3845ab1655","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:45:11.383122Z","signature_b64":"z9alLkuvmIQi2Dvr9KGbN9TWK4rWravo1HpSdumO29qAoEd2LF6IRasfGlFC1mR5jWYn4bVFuxs6IhWfP8YBDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"29f044e5c6b7fc2fe09382890ee31819c44732c94638b3e10701ad3845ab1655","last_reissued_at":"2026-05-18T03:45:11.382354Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:45:11.382354Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1209.4535","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":"2026-05-18T03:45:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"44pMUw0n0KfeNYP5GROcWxHgGvaqBE36/dOZpCI1V+y4Z6AykoGrpD9pjb1iXp+C4XPPAoi+7M0Wi01jEHSIAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T08:00:13.863893Z"},"content_sha256":"726f8fe408cc9a06341b687d1310965b86474e1807edb9f16ccd8ffffce74f26","schema_version":"1.0","event_id":"sha256:726f8fe408cc9a06341b687d1310965b86474e1807edb9f16ccd8ffffce74f26"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2012:FHYEJZOGW76C7YETQKEQ5YYYDH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Application of Fuzzy Mathematics to Speech-to-Text Conversion by Elimination of Paralinguistic Content","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Anubhav Kumar Sharma, Deepak Kumar Sharma, Sachin Lakra, Shree Harsh Atrey, T.V. Prasad","submitted_at":"2012-09-20T14:06:32Z","abstract_excerpt":"For the past few decades, man has been trying to create an intelligent computer which can talk and respond like he can. The task of creating a system that can talk like a human being is the primary objective of Automatic Speech Recognition. Various Speech Recognition techniques have been developed in theory and have been applied in practice. This paper discusses the problems that have been encountered in developing Speech Recognition, the techniques that have been applied to automate the task, and a representation of the core problems of present day Speech Recognition by using Fuzzy Mathematic"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1209.4535","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:45:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"79Yxow3pGuHXTlnI8oL5EkAvgAGtFz6Z4AFt24MSbYNLIVPv6f/+j7Z2UBZyghtUXCd9VpiLWL6uBGSGQ3C3CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T08:00:13.864261Z"},"content_sha256":"2ec19ea33bfae34e0bf22c97249bf32b50a6e4d7f7969bf76d285bfe8044040d","schema_version":"1.0","event_id":"sha256:2ec19ea33bfae34e0bf22c97249bf32b50a6e4d7f7969bf76d285bfe8044040d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FHYEJZOGW76C7YETQKEQ5YYYDH/bundle.json","state_url":"https://pith.science/pith/FHYEJZOGW76C7YETQKEQ5YYYDH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FHYEJZOGW76C7YETQKEQ5YYYDH/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":"2026-06-03T08:00:13Z","links":{"resolver":"https://pith.science/pith/FHYEJZOGW76C7YETQKEQ5YYYDH","bundle":"https://pith.science/pith/FHYEJZOGW76C7YETQKEQ5YYYDH/bundle.json","state":"https://pith.science/pith/FHYEJZOGW76C7YETQKEQ5YYYDH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FHYEJZOGW76C7YETQKEQ5YYYDH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:FHYEJZOGW76C7YETQKEQ5YYYDH","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":"664038b11d59009cfa7ca6750d6b08480567dfdfbcfc589245154730e68bac1a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2012-09-20T14:06:32Z","title_canon_sha256":"6217ad6a243eee71a2011ff958da3078d7ff9c8f6f5f4b1bbf90586bc8da67a3"},"schema_version":"1.0","source":{"id":"1209.4535","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1209.4535","created_at":"2026-05-18T03:45:11Z"},{"alias_kind":"arxiv_version","alias_value":"1209.4535v1","created_at":"2026-05-18T03:45:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1209.4535","created_at":"2026-05-18T03:45:11Z"},{"alias_kind":"pith_short_12","alias_value":"FHYEJZOGW76C","created_at":"2026-05-18T12:27:06Z"},{"alias_kind":"pith_short_16","alias_value":"FHYEJZOGW76C7YET","created_at":"2026-05-18T12:27:06Z"},{"alias_kind":"pith_short_8","alias_value":"FHYEJZOG","created_at":"2026-05-18T12:27:06Z"}],"graph_snapshots":[{"event_id":"sha256:2ec19ea33bfae34e0bf22c97249bf32b50a6e4d7f7969bf76d285bfe8044040d","target":"graph","created_at":"2026-05-18T03:45:11Z","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":"For the past few decades, man has been trying to create an intelligent computer which can talk and respond like he can. The task of creating a system that can talk like a human being is the primary objective of Automatic Speech Recognition. Various Speech Recognition techniques have been developed in theory and have been applied in practice. This paper discusses the problems that have been encountered in developing Speech Recognition, the techniques that have been applied to automate the task, and a representation of the core problems of present day Speech Recognition by using Fuzzy Mathematic","authors_text":"Anubhav Kumar Sharma, Deepak Kumar Sharma, Sachin Lakra, Shree Harsh Atrey, T.V. Prasad","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2012-09-20T14:06:32Z","title":"Application of Fuzzy Mathematics to Speech-to-Text Conversion by Elimination of Paralinguistic Content"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1209.4535","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":"sha256:726f8fe408cc9a06341b687d1310965b86474e1807edb9f16ccd8ffffce74f26","target":"record","created_at":"2026-05-18T03:45:11Z","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":"664038b11d59009cfa7ca6750d6b08480567dfdfbcfc589245154730e68bac1a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2012-09-20T14:06:32Z","title_canon_sha256":"6217ad6a243eee71a2011ff958da3078d7ff9c8f6f5f4b1bbf90586bc8da67a3"},"schema_version":"1.0","source":{"id":"1209.4535","kind":"arxiv","version":1}},"canonical_sha256":"29f044e5c6b7fc2fe09382890ee31819c44732c94638b3e10701ad3845ab1655","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"29f044e5c6b7fc2fe09382890ee31819c44732c94638b3e10701ad3845ab1655","first_computed_at":"2026-05-18T03:45:11.382354Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:45:11.382354Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"z9alLkuvmIQi2Dvr9KGbN9TWK4rWravo1HpSdumO29qAoEd2LF6IRasfGlFC1mR5jWYn4bVFuxs6IhWfP8YBDA==","signature_status":"signed_v1","signed_at":"2026-05-18T03:45:11.383122Z","signed_message":"canonical_sha256_bytes"},"source_id":"1209.4535","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:726f8fe408cc9a06341b687d1310965b86474e1807edb9f16ccd8ffffce74f26","sha256:2ec19ea33bfae34e0bf22c97249bf32b50a6e4d7f7969bf76d285bfe8044040d"],"state_sha256":"ee91568ab40e0f936946216270b9a898109e2fb398859db95ae0e770f10c533c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4uy5drW23RMqxKqKolshBcAri6FC5u56DhFXxDmHYJ0WvyjEvJsChkXyBIKGcPIYA3AmGP/7idrULbttI0xTAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T08:00:13.866284Z","bundle_sha256":"b1af81fb965689228e123c0a04ea4d28a98e77ec9ba16ae441031085e86e2d96"}}